Evidence map›Paper›PMID 40880086›Full record

ArticleJAMA network open2025

Computed Tomographic Angiography and Yield for Gastrointestinal Bleeding in the Emergency Department.

Siona Prasad, C Michael Hood, Cameron Young, Joshua A Hirsch, Sanjay Saini, Aaron D Sodickson, Michael H Lev, Ali S Raja, Michael S Gee, David C Whitehead and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Siona PrasadMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
C Michael HoodMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
Cameron YoungMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
Joshua A HirschMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
Sanjay SainiMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
Aaron D SodicksonMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
Michael H LevHarvard Medical School, Boston, Massachusetts.
Ali S RajaHarvard Medical School, Boston, Massachusetts.
Michael S GeeMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
David C WhiteheadMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.
Marc D SucciMedically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Mass General Brigham, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Overuse of advanced imaging in the emergency department (ED) contributes to higher costs, reduced efficiency, and crowding. Computed tomographic angiography (CTA) is a recommended first-line diagnostic for acute gastrointestinal bleeding (GIB), yet its increasing use may not always improve detection of active bleeding. Objective: To evaluate recent trends in CTA use for suspected GIB in the ED and assess changes in diagnostic yield. Design, Setting, and Participants: This retrospective cohort study included all adult patients who underwent CTA of the abdomen and pelvis for suspected GIB at a 1011-bed urban academic medical center between January 2017 and December 2023. Exposure: Suspected GIB prompting a CTA order in the ED. Main Outcomes and Measures: The primary outcome was the annual number and proportion of GIB-related CTAs among all ED computed tomography (CT) examinations. The secondary outcome was the test-positive proportion (diagnostic yield), defined as the percentage of CTAs showing active bleeding or evidence of hemorrhage. All CTAs were interpreted by board-certified emergency radiologists and reviewed by a fellowship-trained emergency radiologist. Results: Among 954 ED patients (mean [SD] age, 66.7 [6.3] years; 427 female [44.8%]), the number of GIB-related CTA examinations increased from 30 of 32 197 ED CT examinations (0.09%) in 2017 to 288 of 44 423 (0.65%) in 2023. Over the same period, the test-positive proportion declined from 6 of 30 (20.0%) in 2017 to 18 of 288 (6.3%) in 2023. Multivariable analysis showed that more recent calendar year was associated with lower odds of a test-positive examination (OR, 0.84; 95% CI, 0.73-0.96; P = .01), older age with higher odds (OR, 1.02; 95% CI, 1.00-1.04; P = .02), and active cancer with lower odds (OR, 0.35; 95% CI, 0.12-1.00; P = .05). Conclusions and Relevance: CTA use increased substantially over 7 years while diagnostic yield declined. This trend highlights the need to balance the diagnostic benefit of CTA with interpretation time, radiation exposure, and operational strain. These findings support a need for evidence-based ordering criteria and decision-support tools to help guide CTA use in the ED evaluation of gastrointestinal bleeding.

Indexed as

Computed Tomography AngiographyEmergency Service, HospitalGastrointestinal HemorrhageAgedFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID40880086
PMCPMC12397883

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Registered trials

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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.