Evidence map›Paper›PMID 40628534›Full record

ArticleAmerican journal of epidemiology2025

Validity of diagnostic codes used to ascertain maternal injuries during pregnancy.

Asma M Ahmed, Riyan Deria, Rosalba Barojas Chavarria, Allie Sakowicz, David Stamilio, Elizabeth T Jensen

Abstract readValidation Study
In one paragraph

Article in American journal of epidemiology, 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. 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

6 authors.

Asma M AhmedDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States.ORCID 0000-0001-8690-2264
Riyan DeriaDoctor of Medicine (MD) Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Rosalba Barojas ChavarriaDepartment of Epidemiology and Community Health, University of North Carolina (UNC) Charlotte, Charlotte, NC, United States.
Allie SakowiczDepartment of Obstetrics and Gynecology, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
David StamilioDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Elizabeth T JensenDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, United States.

Funding

Critical Illness, Injury, and Recovery Research Center
6 · The paper itself

Abstract

Previous research has relied on International Classification of Diseases (ICD) codes to define maternal injuries. However, the validity of these codes remains unclear. We aimed to validate ICD-10 codes used to ascertain maternal injuries using medical chart reviews as the gold standard. A retrospective cohort study of all births occurring at Atrium Health Wake Forest Baptist Medical Center in 2022-2023. We randomly selected 100 subjects with ICD-10-indicated injury and 100 subjects without indication of injury. Two independent reviewers, blinded to the ICD-10-based classification, conducted the chart review. We examined the validity of relevant injury-related codes (V00-Y38; S00-T79; O9A.2-O9A.4) and calculated positive predictive values (PPVs) for different algorithms defined by varying the encounter type and the list of codes used. The algorithm that included all injury-related ICD-10 codes without encounter-type restrictions showed moderate PPV (71% [95% CI, 61%-79%]) and high negative predictive value (96% [90%-98%]). PPV was maximized when including codes V00-Y38 and restricting encounter type to inpatient or emergency department encounters (PPV 100% [93%-100%]). This study characterizes the accuracy of ICD-10-based algorithms for ascertaining maternal injuries during pregnancy. These findings can help improve inference by providing bias parameters for future research.

Indexed as

International Classification of DiseasesPregnancy ComplicationsWounds and InjuriesAdultAlgorithmsFemaleHumansPregnancyReproducibility of ResultsRetrospective Studiescar accidentsdiagnostic codesfallsICD-10 codesmaternal injuriespositive predictive valuePPVvalidation

Identifiers

PMID40628534
PMCPMC12634104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.