incorporating patients substance intellectual dependencies

The gap

Supporting evidence — 2 representative gaps

• Medium-term Prediction of Clinically-relevant Outcomes in First-episode Schizophrenia Patients (2026) · doi

  The study on patients with first-episode schizophrenia had several limitations that may affect the interpretation of results. Using a sample size of only 68 patients could limit the generalizability of the findings. Additionally, excluding patients with an organic mental disorder, intellectual disability, substance addiction, and onset at age >40 may have further restricted generalizability. The modest sample size was also the reason for using linear models rather than incorporating more complex relationships. However, the highly nonlinear dependencies were addressed by transforming the input variables after exploratory data analysis, as in the case of DUP, which was logarithmically transformed. The study focused on predicting three outcome measures, potentially overlooking other important outcome indicators. Moreover, retrospective data collection may have introduced errors or bias. Finally, selection bias may have occurred because only patients who completed all three visits were included. These limitations should be taken into account when interpreting the study's results.

  Keywords: patients limitations using sample size generalizability three outcome bias first episode schizophrenia several affect interpretation
• Development and validation of a machine learning model for predicting hypersplenism in Wilson disease patients (2026) · doi

  Future research should conduct multicenter, prospective studies incorporating WD patients from diverse regions and age groups to further validate the model's generalizability.

  Keywords: future conduct multicenter prospective incorporating patients diverse regions groups further validate model generalizability