Evidence map›Paper›PMID 40585312›Full record

ArticleResearch and practice in thrombosis and haemostasis2025

Diagnostic accuracy of the international classification of disease "I26" code to detect acute pulmonary embolism in a surveillance network.

Jeffrey A Kline, Jesse O Wrenn, Mazin F Alam, Alexis N Drinkhorn, Conner D Slotnick, Fawas Shaman, Christopher E Conn, Steven J Korzeniewski, Christopher Kabrhel

Abstract read
In one paragraph

Article in Research and practice in thrombosis and haemostasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jeffrey A KlineDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Jesse O WrennDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Mazin F AlamDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Alexis N DrinkhornDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Conner D SlotnickDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Fawas ShamanDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Christopher E ConnDepartment of Emergency Medicine, Wayne State University, Detroit, Michigan, USA.
Steven J KorzeniewskiDepartment of Family Medicine and Public Health Sciences, Detroit, Michigan, USA.
Christopher KabrhelDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Vanderbilt Interdisciplinary Hospital-Based Systems of Care Research and Training ProgrAm (VISTA)T32HL170986 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SUNIL KRIPALANI, ALAN B STORROW · 2024 to 2026
$1.3M
NHLBI NIH HHS T32 HL170986
6 · The paper itself

Abstract

Background: Emergency departments (EDs) offer a unique platform for a surveillance network for acute pulmonary embolism (PE) using International Classification of Disease (ICD-10) codes extracted from electronic medical records. Objectives: Test the diagnostic accuracy of the I26 "leader" ICD-10 code for the detection of PE in near real-time in a large, ED-based surveillance network. Methods: Standardized structured language queries were deployed at 91 hospitals to extract data, including ICD-10 codes, on a weekly basis from electronic medical records on ED patients with acute respiratory complaints. We used 2 methods for coding computed tomography pulmonary angiogram (CTPA) reports to derive a criterion or gold standard for PE diagnosis: (1) research associates were trained to interpret the CTPA reports, and (2) a validated Regular Expression computer program was used to interpret PE on CTPA reports. These 2 methods were independently adjudicated (PE Results: From 6448 valid CTPA scan reports, 442 (6.8%) were adjudicated as PE Conclusion: For low-latency surveillance of PE diagnosed in EDs, the ICD leader code I26 affords high specificity and high LR(+) for detection of acute PE in the United States but has modest sensitivity.

Indexed as

diagnosiselectronic health recordsemergency medicineepidemiologypulmonary embolismsurveillance

Identifiers

PMID40585312
PMCPMC12205332

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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.