SCI-PUB

Prognostic model research

Establishing a prognostic model based on immune-related genes and identification of BIRC5 as a potential biomarker for lung adenocarcinoma patients.

This model can function as an instrumental variable in the prognostic, molecular, and therapeutic prediction of LUAD, shedding new light on the optimal clinical practice guidelines for LUAD patients.

DOI: 10.1186/s12885-023-11249-8

Ren Q, Li Q, Shao C, Zhang P, Hu Z, Li J, Wang W, Yu Y

BMC cancer, 2023-09-25

NEW

Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancer.

The model combining MonoE40keV-VP and VFA can predict POCs before surgery in colon cancer and provide a basis for individualized management plans.

DOI: 10.1186/s13244-023-01515-5

Tan X, Yang X, Hu S, Chen X, Sun Z

Insights into imaging, 2023-09-25

Predictive value of the thrombotic risk criteria proposed in the 2023 ESC guidelines for the management of ACS: insights from a large PCI registry.

The thrombotic risk criteria of the 2023 ESC guidelines for ACS enable to stratify patients undergoing PCI in categories with an incremental 1-year risk of MACE; however, their overall predictive ability for MACE is modest. Future studies should confirm the value of these criteria to identify patients benefiting from an extended treatment with a second antithrombotic agent.

DOI: 10.1093/ehjcvp/pvad069

Spirito A, Cao D, Sartori S, Sharma A, Smith KF, Vogel B, Kamaleldin K, Koshy AN, Feng Y, Power D, Baber U, Melarcode-Krishnamoorthy P, Sharma SK, Kini A, Dangas G, Mehran R

European heart journal. Cardiovascular pharmacotherapy, 2023-09-25

Early warning system enables accurate mortality risk prediction for acute gastrointestinal bleeding admitted to intensive care unit.

Acute gastrointestinal (GI) bleeding are potentially life-threatening conditions...

DOI: 10.1007/s11739-023-03428-z

Jiang M, Li CL, Lin XC, Xu LG

Internal and emergency medicine, 2023-09-24

A multivariate model based on gadoxetic acid-enhanced MRI using Li-RADS v2018 and other imaging features for preoperative prediction of dual‑phenotype hepatocellular carcinoma.

Rim APHE and targetoid restriction were sensitive imaging features of DPHCC before surgery, and the identification of DPHCC has important prognostic significance for early recurrence.

DOI: 10.1007/s11547-023-01715-5

Liu MT, Zhang JY, Xu L, Qu Q, Lu MT, Jiang JF, Zhao XC, Zhang XQ, Zhang T

La Radiologia medica, 2023-09-24

Caring for the hypertensive newborn: a prospective evaluation of risk factors, clinical profile, management, and predictors of outcome of neonatal hypertension.

With the advancement of neonatal care and routine blood pressure monitoring, neonatal hypertension (NHT) has been increasingly recognised over the past few decades...

DOI: 10.1007/s00431-023-05181-z

Amrit A, Utture A, More K

European journal of pediatrics, 2023-09-24

Delayed-Onset Organ/Space Surgical Site Infection Worsens Prognosis in High-Risk Stage II and III Colorectal Cancer.

Delayed-onset organ/space SSI worsened long-term prognosis compared to early-onset, and this may be due to delayed initiation of AC. Patients who are clinically suspected of having lymph node metastasis might need additional intervention to prevent delays in commencing AC due to the delayed SSI.

DOI: 10.1007/s11605-023-05836-0

Okui J, Shigeta K, Kato Y, Mizuno S, Sugiura K, Seo Y, Nakadai J, Baba H, Kikuchi H, Hirata A, Makino A, Kondo T, Matsui S, Seishima R, Okabayashi K, Obara H, Sato Y, Kitagawa Y

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2023-09-24

Development and temporal validation of clinical prediction models for 1-year disability and pain after lumbar decompressive surgery. The Norwich Lumbar Surgery Predictor (development version).

Important PROM predictors are baseline PROMs, specific co-morbidities, work status, condition duration, previous lumbar operation, female, and smoking status. The ODI model predicted the likelihood of achieving a satisfactory state of both disability and pain.

DOI: 10.1007/s00586-023-07931-x

Geere JH, Hunter PR, Swamy GN, Cook AJ, Rai AS

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2023-09-24

Challenges for radiologists dealing with clinical decision support systems (CDSS) from a legal point of view.

No abstract text is available for this article

DOI: 10.1007/s00330-023-10206-0

Rosenberg B

European radiology, 2023-09-24

Preoperative prognostic model for localized and locally advanced renal cell carcinoma: Michinoku Japan Urological Cancer Study Group.

The new preoperative prognostic model in LLRCC can be used in patient care and clinical trials.

DOI: 10.1007/s10147-023-02401-2

Horie S, Naito S, Hatakeyama S, Kandori S, Numakura K, Kato R, Koguchi T, Myoen S, Kawasaki Y, Ito A, Adachi H, Kojima Y, Obara W, Habuchi T, Nishiyama H, Ohyama C, Tsuchiya N

International journal of clinical oncology, 2023-09-24

Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis.

Midface hypoplasia in syndromic craniosynostosis (SC) may lead to serious respiratory issues...

DOI: 10.1016/j.ijom.2023.08.009

Hariri F, Malek RA, Abdullah NA, Hassan SF

International journal of oral and maxillofacial surgery, 2023-09-24

Risk factors of massive blood transfusion in liver transplantation: consequences and a new index for prediction including the donor.

Massive blood transfusion impacts patient survival in a statistically significant way. The most significant risk factors are preoperative hemoglobin, INR and serum creatinine.

DOI: 10.1016/j.cireng.2023.09.002

Justo I, Marcacuzco A, Caso Ó, Manrique A, García-Sesma Á, García A, Rivas C, Jiménez-Romero C

Cirugia espanola, 2023-09-24

Physiologically based pharmacokinetic models to predict drug exposure during pregnancy.

As pregnant women are constantly exposed to drugs during pregnancy, either to treat long-term conditions or acute illnesses, drug safety is a major concern for the fetus and the mother...

DOI: 10.1016/j.pharma.2023.09.005

Celia AC, Guylène P, Vincent T

Annales pharmaceutiques francaises, 2023-09-24

An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables.

Forecasting the air quality index (AQI) is a critical and pressing challenge for developing nations worldwide...

DOI: 10.1016/j.scitotenv.2023.167234

Ahmed AAM, Jui SJJ, Sharma E, Ahmed MH, Raj N, Bose A

The Science of the total environment, 2023-09-24

Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study.

Abnormally short and long sleep are associated with premature mortality, and achieving optimal sleep duration has been the focus for sleep health guidelines...

DOI: 10.1093/sleep/zsad253

Windred DP, Burns AC, Lane JM, Saxena R, Rutter MK, Cain SW, Phillips AJK

Sleep, 2023-09-24

The Model for End-stage Liver Disease 3.0 is not superior to the Model for End-stage Liver Disease-Na in predicting survival: A retrospective cohort study.

The MELD 3.0 was not superior to the original MELD or the MELD-Na in predicting the mortality of patients with ARLD.

DOI: 10.1097/HC9.0000000000000250

Duan F, Liu C, Zhai H, Quan M, Cheng J, Yang S

Hepatology communications, 2023-09-24

Risk factors prediction of 6-month mortality after non-cardiac surgery of older patients in China: A multicentre retrospective cohort study.

We identified 12 preoperative risk factors associated with 6-month mortality in non-cardiac surgery older patients. These preoperative risk factors may provide evidence for a comprehensive preoperative anaesthesia assessment as well as necessary information for clinical decision-making by anaesthesiologists.

DOI: 10.1097/JS9.0000000000000791

Wu XD, Wang Q, Song YX, Chen XY, Xue T, Ma LB, Luo YG, Li H, Lou JS, Liu YH, Wang DF, Wu QP, Peng YM, Mi WD, Cao JB

International journal of surgery (London, England), 2023-09-24

A nomogram for predicting the risk of preeclampsia in women with intrahepatic cholestasis of pregnancy based on prenatal monitoring time: a multicenter retrospective cohort study.

This study found that a longer ICP monitoring period could lead to adverse pregnancy outcomes in the absence of drug intervention, especially preeclampsia. A predictive nomogram and risk score model was developed to better manage ICP patients, maintain pregnancy to term delivery, and minimize the risk of severe adverse maternal and fetal outcomes.

DOI: 10.1097/HJH.0000000000003577

Cai QY, Li ZH, Deng BN, Luo X, Lan X, Chen Y, Liang LF, Liu CY, Liu TH, Wang YX, Wang L

Journal of hypertension, 2023-09-24

A novel risk model of three gefitinib-related genes FBP1, SBK1 and AURKA is related to the immune microenvironment and is predicting prognosis of lung adenocarcinoma patients.

FBP1, SBK1, and AURKA are prognostic risk factors, and the risk model and nomogram of FBP1, SBK1 and AURKA are associated with dismal prognosis and immune cell infiltration, and have huge prospects for application in evaluating the prognosis in LUAD.

DOI: 10.18632/aging.205040

Guo Q, Li K, Jiang N, Zhou R, Rao XR, Wu CY

Aging, 2023-09-24

A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning.

This study successfully developed a highly accurate 4-year risk model for pancreatic cancer in patients with diabetes using real-world clinical data and multiple machine-learning algorithms. Potentially, our predictors offer an opportunity to identify pancreatic cancer early and thus increase prevention and invention windows to impact survival in diabetic patients.

DOI: 10.1002/cam4.6547

Chen SM, Phuc PT, Nguyen PA, Burton W, Lin SJ, Lin WC, Lu CY, Hsu MH, Cheng CT, Hsu JC

Cancer medicine, 2023-09-23

Improving genetic risk prediction across diverse population by disentangling ancestry representations.

Risk prediction models using genetic data have seen increasing traction in genomics...

DOI: 10.1038/s42003-023-05352-6

Gyawali PK, Le Guen Y, Liu X, Belloy ME, Tang H, Zou J, He Z

Communications biology, 2023-09-24

Integrative landscape analysis of prognostic model biomarkers and immunogenomics of disulfidptosis-related genes in breast cancer based on LASSO and WGCNA analyses.

The risk score model was effective for predicting both prognosis and sensitivity to therapeutic drugs, suggesting its possible usefulness for the management of patients with breast cancer.

DOI: 10.1007/s00432-023-05372-z

Liu S, Zheng Y, Li S, Du Y, Liu X, Tang H, Meng X, Zheng Q

Journal of cancer research and clinical oncology, 2023-09-24

Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification.

Machine learning models can predict mGBM non-invasively, which may help to develop personalized treatment strategies for neurosurgeons and provide an effective tool for accurate stratification in clinical trials.

DOI: 10.1177/02841851231199744

Kong X, Mao Y, Luo Y, Xi F, Li Y, Ma J

Acta radiologica (Stockholm, Sweden : 1987), 2023-09-24

Identification of memory B-cell-associated miRNA signature to establish a prognostic model in gastric adenocarcinoma.

In summary, we identified memory B-cell-associated miRNA prognostic features and constructed a novel risk model for STAD based on scRNA-seq data and bulk RNA-seq data. Among patients in the high-risk group, STAD showed the highest sensitivity to CGP-60474. This study provides prognostic insights into individualized and precise treatment for STAD patients.

DOI: 10.1186/s12967-023-04366-2

Liu R, Huang B, Shao Y, Cai Y, Liu X, Ren Z

Journal of translational medicine, 2023-09-24

Development of artificial intelligence prognostic model for surgically resected non-small cell lung cancer.

There are great expectations for artificial intelligence (AI) in medicine...

DOI: 10.1038/s41598-023-42964-8

Kinoshita F, Takenaka T, Yamashita T, Matsumoto K, Oku Y, Ono Y, Wakasu S, Haratake N, Tagawa T, Nakashima N, Mori M

Scientific reports, 2023-09-23

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

A mobile technology platform that is scalable and can be used to understand and improve mental health outcomes is of critical importance.

DOI: 10.1186/s13104-023-06498-6

Njoroge W, Maina R, Elena F, Atwoli L, Wu Z, Ngugi AK, Sen S, Wang J, Wong S, Baker JA, Weinheimer-Haus EM, Khakali L, Aballa A, Orwa J, K Nyongesa M, Shah J, Waljee AK, Abubakar A, Merali Z

BMC research notes, 2023-09-24

Caprini risk assessment model combined with D-dimer to predict the occurrence of deep vein thrombosis and guide intervention after laparoscopic radical resection of colorectal cancer.

The Caprini risk assessment model and D-dimer can provide more accurate risk stratification for patients after laparoscopic radical resection of colorectal cancer.

DOI: 10.1186/s12957-023-03183-7

Zhang W, Sun R, Hu X, Chen Z, Lai C

World journal of surgical oncology, 2023-09-23

Risk factor analysis for adverse prognosis of the fetal ventricular septal defect (VSD).

The current investigation revealed that chromosomal abnormalities, large defects, and the peri-membranous site were all risk factors for poor fetal outcomes. Our study also indicated that chromosome aberration was one of risk factors for the VSD occurrence.

DOI: 10.1186/s12884-023-05969-9

Shan W, Yuanqing X, Jing Z, Xi W, Huifeng G, Yi W

BMC pregnancy and childbirth, 2023-09-24

Experiment-based computational model predicts that IL-6 classic and trans-signaling exhibit similar potency in inducing downstream signaling in endothelial cells.

Inflammatory cytokine mediated responses are important in the development of many diseases that are associated with angiogenesis...

DOI: 10.1038/s41540-023-00308-2

Song M, Wang Y, Annex BH, Popel AS

NPJ systems biology and applications, 2023-09-24

Individualized intervention based on a preparation-related prediction model improves adequacy of bowel preparation: A prospective, multi-center, randomized, controlled study.

The individualized intervention using an additional dose of PEG to high-risk patients predicted by PRM, significantly improved BP quality. The intervention significantly improved ADR in high-risk patients. (ClinicalTrials.gov number: NCT04434625).

DOI: 10.1016/j.dld.2023.09.001

Chen L, Kang X, Ren G, Luo H, Zhang L, Wang L, Zhao J, Zhang R, Zhang X, Zhao L, Pan Y

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver, 2023-09-24

Protocol for development and validation of a prediction model for post-induction hypotension in elderly patients undergoing non-cardiac surgery: a prospective cohort study.

INTRODUCTION: Post-induction hypotension (PIH) is a common event in elderly surgical patients and is associated with increased postoperative morbidity and mortality.

DOI: 10.1136/bmjopen-2023-074181

Hu JH, Xu N, Bian Z, Shi HJ, Ji FH, Peng K

BMJ open, 2023-09-24

PAGE-B incorporating moderate HBV DNA levels predicts risk of HCC among patients entering into HBeAg-positive chronic hepatitis B.

The newly established PAGED-B score may enable risk stratification for HCC at the time of change into HBeAg-positive CHB.

DOI: 10.1016/j.jhep.2023.09.011

Chun HS, Papatheodoridis GV, Lee M, Lee HA, Kim YH, Kim SH, Oh YS, Park SJ, Kim J, Lee HA, Kim HY, Kim TH, Yoon EL, Jun DW, Ahn SH, Sypsa V, Yurdaydin C, Lampertico P, Calleja JL, Janssen H, Dalekos GN, Goulis J, Berg T, Buti M, Kim SU, Kim YJ

Journal of hepatology, 2023-09-24

Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging.

The clinical radiomics model nomogram based on T1C and T2WI has high accuracy and sensitivity for predicting meningioma grade.

DOI: 10.1016/j.mri.2023.09.002

Han T, Liu X, Long C, Xu Z, Geng Y, Zhang B, Deng L, Jing M, Zhou J

Magnetic resonance imaging, 2023-09-24

A Novel Scoring Model of Deubiquitination Patterns Predicts Prognosis and Immunotherapeutic Response in Hepatocellular Carcinoma.

Aberrant expression of deubiquitinases (DUBs) is significantly associated with tumorigenesis...

DOI: 10.1016/j.tranon.2023.101789

Zhang J, Wu G, Peng R, Cao J, Tu D, Zhou J, Su B, Jin S, Jiang G, Zhang C, Bai D

Translational oncology, 2023-09-24

Personalized prediction for multiple chronic diseases by developing the multi-task Cox learning model.

Personalized prediction of chronic diseases is crucial for reducing the disease burden...

DOI: 10.1371/journal.pcbi.1011396

Zhang S, Yang F, Wang L, Si S, Zhang J, Xue F

PLoS computational biology, 2023-09-22

Demographic and psychometric predictors associated with engagement in risk-associated alternative healthcare behaviours.

This paper builds on prior work exploring the use of risk-associated alternative healthcare (RAAH) in Canada...

DOI: 10.1371/journal.pone.0291016

Garrett B, Caulfield T, Musoke R, Murdoch B, Tang X, Lam JST

PloS one, 2023-09-22

Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models.

The aim of this study was to develop early prediction models for respiratory failure risk in patients with severe pneumonia using four ensemble learning algorithms: LightGBM, XGBoost, CatBoost, and random forest, and to compare the predictive performance of each model...

DOI: 10.1371/journal.pone.0291711

Lyu G, Nakayama M

PloS one, 2023-09-22

Examining Predictors of Nutritional Risk among Older Adults: A Needs Assessment.

Older adults are the fastest growing population in the United States...

DOI: 10.1080/21551197.2023.2259341

Jackey B, Song HJ, Patel D, Habibi M

Journal of nutrition in gerontology and geriatrics, 2023-09-22

Predicting the Risk of Sleep Disorders Using a Machine Learning-Based Simple Questionnaire: Development and Validation Study.

SLEEPS has the potential to improve the diagnosis and treatment of sleep disorders by providing more accessibility and convenience. The creation of a publicly accessible website based on the algorithm provides a user-friendly tool for assessing the risk of OSA, COMISA, and insomnia.

DOI: 10.2196/46520

Ha S, Choi SJ, Lee S, Wijaya RH, Kim JH, Joo EY, Kim JK

Journal of medical Internet research, 2023-09-22

Identification of a TRP channel-related risk model for predicting prognosis and therapeutic effects of patients with hepatocellular carcinoma.

We successfully established a highly accurate prognostic model for predicting overall survival and therapeutic effects using TRP channel-related genes.

DOI: 10.1007/s00432-023-05394-7

Pang C, Xu Z, Han J, Li F, Zhu H, Zhang J, Wang D, Xu X

Journal of cancer research and clinical oncology, 2023-09-22

Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.

The five models we developed all performed well in predicting the likelihood of blood transfusion after hip fracture surgery. Therefore, we believed that the prediction model based on machine learning had great application prospects in clinical practice, which could help clinicians better predict the risk of blood transfusion after hip fracture surgery.

DOI: 10.1007/s40520-023-02550-4

Chen X, Pan J, Li Y, Tang R

Aging clinical and experimental research, 2023-09-22

Existing Nongated CT Coronary Calcium Predicts Operative Risk in Patients Undergoing Noncardiac Surgeries (ENCORES).

Prevalence and severity of coronary calcium obtained from existing nongated chest CT imaging improve preoperative clinical risk stratification before nongated surgery.

DOI: 10.1161/CIRCULATIONAHA.123.064398

Choi DY, Hayes D, Maidman SD, Dhaduk N, Jacobs JE, Shmukler A, Berger JS, Cuff G, Rehe D, Lee M, Donnino R, Smilowitz NR

Circulation, 2023-09-22

Functional evaluation of BRCA1/2 variants of unknown significance with homologous recombination assay and integrative in silico prediction model.

Numerous variants of unknown significance (VUSs) exist in hereditary breast and ovarian cancers...

DOI: 10.1038/s10038-023-01194-6

Guo Q, Ji S, Takeuchi K, Urasaki W, Suzuki A, Iwasaki Y, Saito H, Xu Z, Arai M, Nakamura S, Momozawa Y, Chiba N, Miki Y, Matsuura M, Sunada S

Journal of human genetics, 2023-09-22

Multi-omics approaches establishing histone modification based prognostic model in glioma patients and further verification of the carcinogenesis mechanism.

Glioblastoma (GBM) emerges as the most common malignant brain tumor...

DOI: 10.1007/s10142-023-01229-3

Wang Y, Ji L, Ji C, Wang F

Functional & integrative genomics, 2023-09-22

Identification and validation of a prognostic risk-scoring model based on the level of TIM-3 expression in acute myeloid leukemia.

Acute myeloid leukemia (AML) is characterized by an unfavorable prognosis due to the presence of self-renewing leukemic stem cells (LSCs)...

DOI: 10.1038/s41598-023-42700-2

Huang W, Zheng S, Wang Q, Zhao N, Long Z

Scientific reports, 2023-09-22

Enhancing phytochemical parameters in broccoli through vacuum impregnation and their prediction with comparative ANN and RSM models.

Amidst increasing demand for nutritious foods, the quest for effective methods to enhance health-promoting attributes has intensified...

DOI: 10.1038/s41598-023-41930-8

Wahid A, Giri SK, Kate A, Tripathi MK, Kumar M

Scientific reports, 2023-09-22

Systematic review of prospective studies assessing risk factors to predict anorexia nervosa onset.

To date there are insufficient established data to propose predictive markers of AN onset for predictive actions in pre-adolescent or adolescent populations. Future work should further evaluate potential risk factors previously identified in case‒control/retrospective studies within larger prospective investigations in preadolescent populations. It is important to clearly distinguish predisposing factors from precipitating factors in subjects at risk of developing AN.

DOI: 10.1186/s40337-023-00882-0

Charrat JP, Massoubre C, Germain N, Gay A, Galusca B

Journal of eating disorders, 2023-09-22

Tachyarrhythmia after the total cavopulmonary connection: incidence, prognosis, and risk factors.

In our large cohort of 620 patients following total cavopulmonary connection, the incidence of late tachyarrhythmia was low. Patients with dominant right ventricle and late total cavopulmonary connection were at increased risk for late tachyarrhythmia following total cavopulmonary connection.

DOI: 10.1017/S1047951123003141

Bohn C, Schaeffer T, Cuman M, Staehler H, Di Padua C, Heinisch PP, Piber N, Hager A, Ewert P, Hörer J, Ono M

Cardiology in the young, 2023-09-22

Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting.

COVID-19 infection rates remain high in South Africa...

DOI: 10.1371/journal.pdig.0000309

Fuller GW, Hasan M, Hodkinson P, McAlpine D, Goodacre S, Bath PA, Sbaffi L, Omer Y, Wallis L, Marincowitz C

PLOS digital health, 2023-09-21

Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.

While FRAX with BMD could be more precise in estimating the fracture risk, DL-based models were validated to slightly reduce the number of under- and over-treated patients when no BMD measurements were available. The validated models could be used to screen for patients at a high risk of fracture and osteoporosis.

DOI: 10.1007/s00198-023-06913-5

Hung WC, Lin YL, Cheng TT, Chin WL, Tu LT, Chen CK, Yang CH, Wu CH

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2023-09-21

Identification of a novel five ferroptosis-related gene signature as a promising prognostic model for breast cancer.

A novel five ferroptosis-related gene signature and nomogram could be used for prognostic prediction in BCa.

DOI: 10.1007/s00432-023-05423-5

Cheng TC, Wu JH, Zhu B, Gao HY, Zheng L, Chen WX

Journal of cancer research and clinical oncology, 2023-09-21

Prevalence, stability, and predictive utility of the Multidimensional Assessment of Preschoolers Study clinically optimized irritability score: Pragmatic early assessment of mental disorder risk.

Clinically significant early childhood irritability prevalence is akin to the pediatric obesity epidemic and may warrant similar universal screening/intervention. Also, irritability's stability demonstrates the common guidance "they'll grow out of it" to be false. Finally, pragmatic irritability assessment has transdiagnostic predictive power and addresses a need for feasible measures to flag risk.

DOI: 10.1002/mpr.1991

Wiggins JL, Ureña Rosario A, MacNeill LA, Krogh-Jespersen S, Briggs-Gowan M, Smith JD, Wakschlag LS

International journal of methods in psychiatric research, 2023-09-21

Outcome Prediction Model Following Proximal Femoral Osteotomy in Legg-Calvé-Perthes Disease Using Machine Learning Algorithms.

The XGBoost machine learning algorithm achieved the best performance in predicting the postoperative radiologic outcomes in patients with LCPD who underwent PFVO. In our population, age at onset ≤ 8.06, lateral classification ≤ B, 12.40 < preoperative MP ≤ 22.85, Catterall classification ≤ 2, 117.4 < postoperative NSA ≤ 122.90, -10.8 < postoperative MP ≤ 6.5, 139.65 < preoperative NSA ≤ 144.67, and operation at an early stage had the likelihood of achieving the spherical femoral head for the patients with LCPD that underwent PFVO. After external validation, the online application of this model may enhance shared decision-making.

DOI: 10.1097/BPO.0000000000002494

Kim S, Seon JK, Ko B, Lim JH, Song WC, Kang GR, Shin Y, Jung ST

Journal of pediatric orthopedics, 2023-09-21

Enhancing the clinical relevance of haemorrhage prediction models in trauma.

No abstract text is available for this article

DOI: 10.1186/s40779-023-00476-6

Tandle S, Wohlgemut JM, Marsden MER, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB, Tai NRM

Military Medical Research, 2023-09-21

The influence of explainable vs non-explainable clinical decision support systems on rapid triage decisions: a mixed methods study.

Although overall trust in the models was low, the median (IQR) weight-on-advice was high (0.33 (0.0-0.56)) and in line with published literature on expert advice. In contrast to the hypothesis, weight-on-advice was comparable between the explaining and non-explaining systems. In 30% of cases, weight-on-advice was 0, meaning the physician did not change their rating. The median of the remaining weight-on-advice values was 50%, suggesting that physicians either dismissed the recommendation or employed a "meeting halfway" approach. Newer technologies, such as clinical reasoning systems, may be able to augment the decision process rather than simply presenting unexplained bias.

DOI: 10.1186/s12916-023-03068-2

Laxar D, Eitenberger M, Maleczek M, Kaider A, Hammerle FP, Kimberger O

BMC medicine, 2023-09-21

Author Correction: Comparing predictions among competing risks models with rare events: application to KNOW-CKD study-a multicentre cohort study of chronic kidney disease.

No abstract text is available for this article

DOI: 10.1038/s41598-023-42772-0

Kim J, Lee S, Kim JH, Im DW, Lee D, Oh KH

Scientific reports, 2023-09-21

An Early Prediction Model for Estimating Bronchopulmonary Dysplasia in Preterm Infants.

The postnatal day 7 model was the best predictor of BPD or death. Future validation studies will help identify infants who may benefit from preventive therapies and develop individualized care.

DOI: 10.1159/000533299

Kostekci YE, Bakırarar B, Okulu E, Erdeve O, Atasay B, Arsan S

Neonatology, 2023-09-21

Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction.

Uncertainty quantification of the remaining useful life (RUL) for degraded systems under the big data era has been a hot topic in recent years...

DOI: 10.1109/TNNLS.2023.3310482

Pei H, Si X, Li T, Zhang Z, Lei Y

IEEE transactions on neural networks and learning systems, 2023-09-20

Tumor-derived biomarkers predict efficacy of B7H3 antibody-drug conjugate treatment in metastatic prostate cancer models.

Antibody-drug conjugates(ADCs) are promising targeted cancer therapy; however, patient selection based solely on target antigen expression without consideration for cytotoxic payload vulnerabilities has plateaued clinical benefits...

DOI: 10.1172/JCI162148

Agarwal S, Fang L, McGowen K, Yin J, Bowman J, Ku AT, Alilin AN, Corey E, Roudier MP, True LD, Dumpit RF, Coleman I, Lee JK, Nelson PS, Capaldo BJ, Mariani A, Hoover CE, Senatorov IS, Beshiri M, Sowalsky AG, Hurt EM, Kelly K

The Journal of clinical investigation, 2023-09-20

Predicting Pediatric Severe Asthma Exacerbations: An Administrative Claims-Based Predictive Model.

Predictive models for asthma-related exacerbation achieved moderate accuracy, but race and ethnicity, ICD-10 SDOH, RUCA codes, and COI measures were not important in improving model accuracy.

DOI: 10.1080/02770903.2023.2260881

Rezaeiahari M, Brown CC, Eyimina A, Perry TT, Goudie A, Boyd M, Tilford JM, Jefferson AA

The Journal of asthma : official journal of the Association for the Care of Asthma, 2023-09-20

The age-dependent changes in risk weights of the prognostic factors for multiple myeloma.

ISS may lose prognostic value in patients ≥71 years old. Older patients had an inferior outcome and needed more effective and less toxic treatment.Plain Language SummaryMultiple myeloma is a type of blood cancer commonly seen in older people. To treat this disease, genetic abnormality, the poor physical status of patients and the abundance of tumor cells are the main difficulties. We often draw these conclusions from clinical trials. However, clinical trials always enrolled relatively younger patients, so the presence and significance of these factors may vary from clinical trials to the real world. We conducted the study to find out the real risk in both young and old patients. We found that older patients were more likely to have anemia, poor nutritional status and renal function. We also found older patients had more risk of relapse, progression or death than young patients. Frail physical status is the key obstacle to treating older patients, and tumor burden no longer impacts the outcome of these people. Bortezomib is a powerful drug to treat this disease, but patients ≥71 years old had less benefit than younger ones. More studies should focus on older or frail patients as these patients need more effective and less toxic treatment.

DOI: 10.1080/16078454.2023.2258686

Du C, Li L, Fan H, Mao X, Liu J, Xu Y, Sui W, Deng S, Li C, Zhao J, Yi S, Hao M, Zou D, Zhao Y, Qiu L, An G

Hematology (Amsterdam, Netherlands), 2023-09-20

Evaluating Prognostic Value of Dynamics of Circulating Lactate Dehydrogenase in Colorectal Cancer Using Modeling and Machine Learning.

Pre-treatment serum lactate dehydrogenase (LDH) levels have been associated with poor prognosis in several types of cancer, including metastatic colorectal cancer (mCRC)...

DOI: 10.1002/cpt.3052

Ding H, Yuan M, Yang Y, Gupta M, Xu XS

Clinical pharmacology and therapeutics, 2023-09-20

Correction to: Development of a prediction model for head and neck volume reduction by clinical factors, dose-volume histogram parameters and radiomics in head and neck cancer.

No abstract text is available for this article

DOI: 10.1093/jrr/rrad062

Journal of radiation research, 2023-09-24

Development and Validation of the DOAC Score: A Novel Bleeding Risk Prediction Tool for Patients With Atrial Fibrillation on Direct-Acting Oral Anticoagulants.

In individuals with atrial fibrillation potentially eligible for DOAC therapy, the DOAC Score can help stratify patients on the basis of expected bleeding risk.

DOI: 10.1161/CIRCULATIONAHA.123.064556

Aggarwal R, Ruff CT, Virdone S, Perreault S, Kakkar AK, Palazzolo MG, Dorais M, Kayani G, Singer DE, Secemsky E, Piccini J, Tahir UA, Shen C, Yeh RW

Circulation, 2023-09-20

A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning.

Combination therapies have brought significant advancements to the treatment of various diseases in the medical field...

DOI: 10.1093/bib/bbad285

Gu J, Bang D, Yi J, Lee S, Kim DK, Kim S

Briefings in bioinformatics, 2023-09-24

Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers.

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context...

DOI: 10.1200/JCO.23.01060

Wu JT, Wakelee HA, Han SS

Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2023-09-21

ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reporting.

Adequate reporting is essential for evaluating the performance and clinical utility of a prognostic prediction model...

DOI: 10.1093/bib/bbad267

Zhao T, Cao L, Ji J, Chang DK, Wu J

Briefings in bioinformatics, 2023-09-24

Development of a prediction model for head and neck volume reduction by clinical factors, dose-volume histogram parameters and radiomics in head and neck cancer†.

In external radiotherapy of head and neck (HN) cancers, the reduction of irradiation accuracy due to HN volume reduction often causes a problem...

DOI: 10.1093/jrr/rrad052

Ishizawa M, Tanaka S, Takagi H, Kadoya N, Sato K, Umezawa R, Jingu K, Takeda K

Journal of radiation research, 2023-09-24

Risk prediction models for antineoplastic-associated cardiotoxicity in treatment of breast cancer: A systematic review.

Among 8 models to predict the risk of cardiotoxicity of antineoplastic agents for breast cancer, 7 were rated as having a high risk of bias and all had low concerns for clinical applicability. Most evaluated studies reported positive measures of model performance but did not perform external validation. Efforts to improve development and reporting of these models to facilitate their use in practice are warranted.

DOI: 10.1093/ajhp/zxad147

Rodriguez R, Joseph H, Macrito R, Lee TA, Sweiss K

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2023-09-24

New-onset atrial fibrillation prediction: the HARMS2-AF risk score.

The HARMS2-AF score is a novel lifestyle risk score which may help identify individuals at risk of AF in the general community and assist population screening.

DOI: 10.1093/eurheartj/ehad375

Segan L, Canovas R, Nanayakkara S, Chieng D, Prabhu S, Voskoboinik A, Sugumar H, Ling LH, Lee G, Morton J, LaGerche A, Kaye DM, Sanders P, Kalman JM, Kistler PM

European heart journal, 2023-09-24

A novel polygenic risk score improves prognostic prediction of heart failure with preserved ejection fraction in the Chinese Han population.

The HF-PRS comprising 69 genetic variants provided an improvement of prognostic power over the contemporary risk scores and NT-proBNP in HFpEF patients.

DOI: 10.1093/eurjpc/zwad209

Han Y, Lu J, Chen B, Li X, Dai H, Zhang L, Yan X, Liu J, Zhang H, Fu X, Yu Q, Ren J, Cui H, Gao Y, Li J

European journal of preventive cardiology, 2023-09-24

Наверх

Prognostic model research

Establishing a prognostic model based on immune-related genes and identification of BIRC5 as a potential biomarker for lung adenocarcinoma patients.

Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancer.

Predictive value of the thrombotic risk criteria proposed in the 2023 ESC guidelines for the management of ACS: insights from a large PCI registry.

Early warning system enables accurate mortality risk prediction for acute gastrointestinal bleeding admitted to intensive care unit.

A multivariate model based on gadoxetic acid-enhanced MRI using Li-RADS v2018 and other imaging features for preoperative prediction of dual‑phenotype hepatocellular carcinoma.

Caring for the hypertensive newborn: a prospective evaluation of risk factors, clinical profile, management, and predictors of outcome of neonatal hypertension.

Delayed-Onset Organ/Space Surgical Site Infection Worsens Prognosis in High-Risk Stage II and III Colorectal Cancer.

Development and temporal validation of clinical prediction models for 1-year disability and pain after lumbar decompressive surgery. The Norwich Lumbar Surgery Predictor (development version).

Challenges for radiologists dealing with clinical decision support systems (CDSS) from a legal point of view.

Preoperative prognostic model for localized and locally advanced renal cell carcinoma: Michinoku Japan Urological Cancer Study Group.

Midface hypoplasia in syndromic craniosynostosis: predicting craniofacial growth via a novel regression model from anatomical morphometric analysis.

Risk factors of massive blood transfusion in liver transplantation: consequences and a new index for prediction including the donor.

Physiologically based pharmacokinetic models to predict drug exposure during pregnancy.

An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables.

Sleep regularity is a stronger predictor of mortality risk than sleep duration: A prospective cohort study.

The Model for End-stage Liver Disease 3.0 is not superior to the Model for End-stage Liver Disease-Na in predicting survival: A retrospective cohort study.

Risk factors prediction of 6-month mortality after non-cardiac surgery of older patients in China: A multicentre retrospective cohort study.

A nomogram for predicting the risk of preeclampsia in women with intrahepatic cholestasis of pregnancy based on prenatal monitoring time: a multicenter retrospective cohort study.

A novel risk model of three gefitinib-related genes FBP1, SBK1 and AURKA is related to the immune microenvironment and is predicting prognosis of lung adenocarcinoma patients.

A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning.

Improving genetic risk prediction across diverse population by disentangling ancestry representations.

Integrative landscape analysis of prognostic model biomarkers and immunogenomics of disulfidptosis-related genes in breast cancer based on LASSO and WGCNA analyses.

Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification.

Identification of memory B-cell-associated miRNA signature to establish a prognostic model in gastric adenocarcinoma.

Development of artificial intelligence prognostic model for surgically resected non-small cell lung cancer.

Use of mobile technology to identify behavioral mechanisms linked to mental health outcomes in Kenya: protocol for development and validation of a predictive model.

Caprini risk assessment model combined with D-dimer to predict the occurrence of deep vein thrombosis and guide intervention after laparoscopic radical resection of colorectal cancer.

Risk factor analysis for adverse prognosis of the fetal ventricular septal defect (VSD).

Experiment-based computational model predicts that IL-6 classic and trans-signaling exhibit similar potency in inducing downstream signaling in endothelial cells.

Individualized intervention based on a preparation-related prediction model improves adequacy of bowel preparation: A prospective, multi-center, randomized, controlled study.

Protocol for development and validation of a prediction model for post-induction hypotension in elderly patients undergoing non-cardiac surgery: a prospective cohort study.

PAGE-B incorporating moderate HBV DNA levels predicts risk of HCC among patients entering into HBeAg-positive chronic hepatitis B.

Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging.

A Novel Scoring Model of Deubiquitination Patterns Predicts Prognosis and Immunotherapeutic Response in Hepatocellular Carcinoma.

Personalized prediction for multiple chronic diseases by developing the multi-task Cox learning model.

Demographic and psychometric predictors associated with engagement in risk-associated alternative healthcare behaviours.

Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models.

Examining Predictors of Nutritional Risk among Older Adults: A Needs Assessment.

Predicting the Risk of Sleep Disorders Using a Machine Learning-Based Simple Questionnaire: Development and Validation Study.

Identification of a TRP channel-related risk model for predicting prognosis and therapeutic effects of patients with hepatocellular carcinoma.

Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.

Existing Nongated CT Coronary Calcium Predicts Operative Risk in Patients Undergoing Noncardiac Surgeries (ENCORES).

Functional evaluation of BRCA1/2 variants of unknown significance with homologous recombination assay and integrative in silico prediction model.

Multi-omics approaches establishing histone modification based prognostic model in glioma patients and further verification of the carcinogenesis mechanism.

Identification and validation of a prognostic risk-scoring model based on the level of TIM-3 expression in acute myeloid leukemia.

Enhancing phytochemical parameters in broccoli through vacuum impregnation and their prediction with comparative ANN and RSM models.

Systematic review of prospective studies assessing risk factors to predict anorexia nervosa onset.

Tachyarrhythmia after the total cavopulmonary connection: incidence, prognosis, and risk factors.

Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting.

Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.

Identification of a novel five ferroptosis-related gene signature as a promising prognostic model for breast cancer.

Prevalence, stability, and predictive utility of the Multidimensional Assessment of Preschoolers Study clinically optimized irritability score: Pragmatic early assessment of mental disorder risk.

Outcome Prediction Model Following Proximal Femoral Osteotomy in Legg-Calvé-Perthes Disease Using Machine Learning Algorithms.

Enhancing the clinical relevance of haemorrhage prediction models in trauma.

The influence of explainable vs non-explainable clinical decision support systems on rapid triage decisions: a mixed methods study.

Author Correction: Comparing predictions among competing risks models with rare events: application to KNOW-CKD study-a multicentre cohort study of chronic kidney disease.

An Early Prediction Model for Estimating Bronchopulmonary Dysplasia in Preterm Infants.

Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction.

Tumor-derived biomarkers predict efficacy of B7H3 antibody-drug conjugate treatment in metastatic prostate cancer models.

Predicting Pediatric Severe Asthma Exacerbations: An Administrative Claims-Based Predictive Model.

The age-dependent changes in risk weights of the prognostic factors for multiple myeloma.

Evaluating Prognostic Value of Dynamics of Circulating Lactate Dehydrogenase in Colorectal Cancer Using Modeling and Machine Learning.

Correction to: Development of a prediction model for head and neck volume reduction by clinical factors, dose-volume histogram parameters and radiomics in head and neck cancer.

Development and Validation of the DOAC Score: A Novel Bleeding Risk Prediction Tool for Patients With Atrial Fibrillation on Direct-Acting Oral Anticoagulants.

A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug-drug interaction data and supervised contrastive learning.

Optimizing Lung Cancer Screening With Risk Prediction: Current Challenges and the Emerging Role of Biomarkers.

ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reporting.

Development of a prediction model for head and neck volume reduction by clinical factors, dose-volume histogram parameters and radiomics in head and neck cancer†.

Risk prediction models for antineoplastic-associated cardiotoxicity in treatment of breast cancer: A systematic review.

New-onset atrial fibrillation prediction: the HARMS2-AF risk score.

A novel polygenic risk score improves prognostic prediction of heart failure with preserved ejection fraction in the Chinese Han population.

Contact Us

Log In

Password recovery