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.
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.
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.
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.
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...
Pre-treatment serum lactate dehydrogenase (LDH) levels have been associated with poor prognosis in several types of cancer, including metastatic colorectal cancer (mCRC)...
No abstract text is available for this article
Combination therapies have brought significant advancements to the treatment of various diseases in the medical field...
The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context...
Adequate reporting is essential for evaluating the performance and clinical utility of a prognostic prediction model...
In external radiotherapy of head and neck (HN) cancers, the reduction of irradiation accuracy due to HN volume reduction often causes a problem...
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.