Evidence map›Paper›PMID 27689922›Full record

ArticleRadiology2017

Yield of CT Pulmonary Angiography in the Emergency Department When Providers Override Evidence-based Clinical Decision Support.

Zihao Yan, Ivan K Ip, Ali S Raja, Anurag Gupta, Joshua M Kosowsky, Ramin Khorasani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Zihao YanFrom the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.).
Ivan K IpFrom the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.).
Ali S RajaFrom the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.).
Anurag GuptaFrom the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.).
Joshua M KosowskyFrom the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.).
Ramin KhorasaniFrom the Center for Evidence-Based Imaging (Z.Y., I.K.I., A.S.R., A.G., R.K.), Department of Radiology (A.S.R., A.G., R.K.), Department of Medicine (I.K.I.), and Department of Emergency Medicine (A.G., J.M.K.), Brigham and Women's Hospital, Harvard Medical School, 20 Kent St, 2nd Floor, Boston, MA 02120; and Department of Emergency Medicine, Massachusetts General Hospital, Boston, Mass (A.S.R.).
Harvard University · USMassachusetts General Hospital · US

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Impact of decision support and accountability tools on adoption of evidenceUC4EB012952 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KHORASANI, RAMIN · 2010 to 2010
$1.5M
NIBIB NIH HHS UC4 EB012952NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

Purpose To determine the frequency of, and yield after, provider overrides of evidence-based clinical decision support (CDS) for ordering computed tomographic (CT) pulmonary angiography in the emergency department (ED). Materials and Methods This HIPAA-compliant, institutional review board-approved study was performed at a tertiary care, academic medical center ED with approximately 60 000 annual visits and included all patients who were suspected of having pulmonary embolism (PE) and who underwent CT pulmonary angiography between January 1, 2011, and August 31, 2013. The requirement to obtain informed consent was waived. Each CT order for pulmonary angiography was exposed to CDS on the basis of the Wells criteria. For patients with a Wells score of 4 or less, CDS alerts suggested d-dimer testing because acute PE is highly unlikely in these patients if d-dimer levels are normal. The yield of CT pulmonary angiography (number of positive PE diagnoses/total number of CT pulmonary angiographic examinations) was compared in patients in whom providers overrode CDS alerts (by performing CT pulmonary angiography in patients with a Wells score ≤4 and a normal d-dimer level or no d-dimer testing) (override group) and those in whom providers followed Wells criteria (CT pulmonary angiography only in patients with Wells score >4 or ≤4 with elevated d-dimer level) (adherent group). A validated natural language processing tool identified positive PE diagnoses, with subsegmental and/or indeterminate diagnoses removed by means of chart review. Statistical analysis was performed with the χ

Indexed as

Computed Tomography AngiographyDecision Support Systems, ClinicalEmergency Service, HospitalEvidence-Based MedicineFemaleHumansMaleMiddle AgedPulmonary ArteryPulmonary Embolism

Identifiers

PMID27689922
PMCPMC5330300
OpenAlexW2527035297

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.