Evidence map›Paper›PMID 37091932›Full record

ReviewMissouri medicine

A Critical Appraisal of AHRQ's "Diagnostic Errors" Report.

Christopher R Carpenter, Randall Jotte, Richard T Griffey, Evan Schwarz

Open access · greenAbstract readReview
In one paragraph

Review in Missouri medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Marginal Dispositions and Shared Decision-Making Among Older Adults in the ED: A Prospective Cohort Study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Christopher R CarpenterProfessors in the Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri.
Randall JotteProfessors in the Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri.
Richard T GriffeyProfessors in the Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri.
Evan SchwarzAssociate Professor in the Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri.
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Agency for Healthcare Research and Quality (AHRQ) report "Diagnostic Errors in the Emergency Department" generated significant mass media interest with negative implications for the safety of contemporary emergency care. The assumptions and methodology underlying this report are problematic, while multiple ongoing efforts to improve the quality and quantity of diagnostic research are missed, neglected, or ignored. The AHRQ report identifies reasonable target diseases for targeting diagnostic quality improvement efforts, as well as viable methods by which to measure any initiatives impact on diagnostic error. We note additional opportunities to improve the status quo by funding emergency department-based diagnostic research and healthcare system-level patient safety research and highlighting innovative approaches to diagnostic science within emergency medicine.

Indexed as

Emergency MedicineHealth Services ResearchDiagnostic ErrorsHumansUnited StatesUnited States Agency for Healthcare Research and Quality

Identifiers

PMID37091932
PMCPMC10121120
OpenAlexW4366822712

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.