Evidence map›Paper›PMID 32180247›Full record

ArticlePaediatric and perinatal epidemiology2020

Defining maternal obesity in studies of birth outcomes: Comparing ICD-9 codes at delivery and measures on the birth certificate.

Elizabeth Wall-Wieler, Barbara Abrams, Jonathan M Snowden, Suzan L Carmichael

Open access · greenAbstract read
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Article in Paediatric and perinatal epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Elizabeth Wall-WielerDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-2480-8875
Barbara AbramsDivision of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, CA, USA.
Jonathan M SnowdenSchool of Public Health, Oregon Health & Science University-Portland State University, Portland, OR, USA.ORCID 0000-0002-9566-3047
Suzan L CarmichaelDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · USBerkeley Public Health Division · USPortland State University · US

Funding

Severe Maternal Morbidity: An Investigation of Racial-Ethnic Disparities, Social Disadvantage & Maternal WeightR01NR017020 · NINR · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL · 2018 to 2026
$5.2M
CIHR Banting Postdoctoral FellowshipNIH HHS NR017020NINR NIH HHS R01 NR017020
6 · The paper itself

Abstract

backgroundUsing ICD-9 codes underestimates the prevalence of obesity in adults; however, the validity of these codes in studies of pregnancy-related outcomes is not known.

objectivesTo compare classification of maternal obesity based on ICD-9 codes in hospital discharge records versus data from birth certificates in the same women, examine predictors of agreement, and assess how associations between obesity and two birth outcomes differ by source of weight data.

methodsThis population-based study included 2 329 145 California births between 2007 and 2012. We compared data on obesity from childbirth hospital discharge records (ICD-9 codes for obesity) and birth certificates (pre-pregnancy body mass index (BMI) calculated from weight and height) and identified predictors of agreement between the two sources. Logistic regression models assessed whether the two definitions of obesity resulted in different estimates of the associations of obesity with caesarean birth and large-for-gestational age.

resultsOverall, 464 754 women (20.0%) had obesity based on their pre-pregnancy BMI while only 100 002 (4.3%) had an obesity-related ICD-9 code. The sensitivity of ICD-9-based obesity was low at 16.2%; however, obesity codes were highly specific at 98.7%, with a negative predictive value of 82.5% and a positive predictive value of 75.2%. Among women with obesity identified by the birth certificate, those with pre-pregnancy and pregnancy-related complications (eg diabetes and hypertension) were more likely to have an obesity-related diagnosis in their delivery hospital discharge record. Using ICD-9 codes overestimated the association of obesity with caesarean birth and newborn large-for-gestational age.

conclusionsICD-9 codes in childbirth discharge records captured only one in five women with pre-pregnancy obesity. Sensitivity varied by maternal characteristics and conditions. This misclassification resulted in bias when examining the association of obesity and pregnancy-related outcomes.

Indexed as

Birth CertificatesInternational Classification of DiseasesAdultCaliforniaCesarean SectionFemaleFetal MacrosomiaHumansInfant, NewbornLogistic ModelsPregnancyPregnancy in ObesityPregnancy OutcomeYoung Adultmisclassificationobesitypregnancy

Identifiers

PMID32180247
PMCPMC7483732
OpenAlexW3012099370

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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.