In recent decades, science has been able to answer questions that were thought impossible
to understand or solve. The global scientific production has been gradually increasing in the …

Increasing integrity concerns in medical research have prompted the development of tools to
detect untrustworthy studies. Existing tools primarily assess published aggregate data (AD) …

Poor quality medical research causes serious harms by misleading healthcare professionals
and policymakers, decreasing trust in science and medicine, and wasting public funds. Here …

Abstract Post-Traumatic Stress Disorder (PTSD) is often considered challenging to treat due
to factors that contribute to its complexity. In the last decade, more attention has been paid to …

Clinical prediction models (CPMs) have become an integral part of emergency medicine,
such as the Wells score for deep vein thrombosis and APACHE II to predict mortality in …

Purpose One of the currently debated changes in scientific practice is the implementation of
data sharing requirements for peer-reviewed publication to increase transparency and …

Background: The SARS-CoV-2 pandemic has boosted the appearance of clinical
predictions models in medical literature. Many of these models aim to provide guidance for …

Introduction While there are guidelines for reporting on observational studies (eg,
Strengthening the Reporting of Observational Studies in Epidemiology, Reporting of Studies …

Background Ethical and scientific principles require that clinical trials address an important
question and have the resources needed to complete the study. However, there are no clear …

To be justifiable, clinical trials must test novel hypotheses and produce informative results.
However, many trials fail on this score. A Delphi process was used to establish consensus …