Correctly structured problem lists lead to better and faster clinical decision-making in electronic health records compared to non-curated problem lists: A single-blinded crossover randomized controlled trial.

Background: Correctly structured problem lists in electronic health records (EHRs) offer major benefits to patient care. Without structured lists, diagnosis information is often scatteredly documented in free text, which may contribute to errors and inefficient information retrieval. This study aims to assess whether EHRs with correctly structured problem lists result in better and faster clinical decision-making compared to non-curated problem lists.

ALL-IN meta-analysis: breathing life into living systematic reviews.

Science is justly admired as a cumulative process ("standing on the shoulders of giants"), yet scientific knowledge is typically built on a patchwork of research contributions without much coordination. This lack of efficiency has specifically been addressed in clinical research by recommendations for living systematic reviews and against research waste. We propose to further those recommendations with ALL-IN meta-analysis: Anytime Live and Leading INterim meta-analysis.

Accumulation Bias in meta-analysis: the need to consider in error control.

Studies accumulate over time and meta-analyses are mainly retrospective. These two characteristics introduce dependencies between the , at which a series of studies is up for meta-analysis, and results within the series. Dependencies introduce bias and invalidate the sampling distribution assumed for p-value tests, thus inflating type-I errors.