The reliability of medical illness reporting in a randomized clinical trial

Even with prospective, rigorously collected data, medical histories do not reliably identify all medical disorders. Adding the results of physical examination, laboratory tests, and medications increases the accuracy of reporting. This strategy could be adapted for clinical trials and electronic medical record disease-prevalence data mining.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-04-24
DOI
https://doi.org/10.1371/journal.pone.0320759
Citations
1
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The reliability of medical illness reporting in a randomized clinical trial

Rachelle Morgenstern, Mark J. Kupersmith, Benjamin R. Kummer, Nathalie Jetté et al.
1 citations
PLoS ONE
Blood Pressure and Hypertension Studies
1.39
article

The reliability of medical illness reporting in a randomized clinical trial

Rachelle Morgenstern, Mark J. Kupersmith, Benjamin R. Kummer, Nathalie Jetté, Avi Reichenberg
article en
1 citations

Abstract

Even with prospective, rigorously collected data, medical histories do not reliably identify all medical disorders. Adding the results of physical examination, laboratory tests, and medications increases the accuracy of reporting. This strategy could be adapted for clinical trials and electronic medical record disease-prevalence data mining.

PLoS ONEVol. 20(4)
O'Brien Institute (AU), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 20%
Blood Pressure and Hypertension Studies
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.