Evidence map›Paper›PMID 25656656›Full record

ArticlePharmacoepidemiology and drug safety2015

Accuracy of ICD-9-CM coding to identify small for gestational age newborns.

Kelesitse Phiri, Sonia Hernandez-Diaz, Lawrence C Tsen, Karen M Puopolo, John D Seeger, Brian T Bateman

Abstract readHistorical Article
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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15citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kelesitse PhiriDepartment of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Sonia Hernandez-Diaz
Lawrence C Tsen
Karen M Puopolo
John D Seeger
Brian T Bateman

Funding

Comparative safety & effectiveness of antihypertensive medications in pregnancyK08HD075831 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BATEMAN, BRIAN THOMAS · 2013 to 2017
$717k
NICHD NIH HHS K08 HD075831NICHD NIH HHS K08HD075831
6 · The paper itself

Abstract

purposeThis study aimed to evaluate the accuracy of the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code for small for gestational age (SGA) recorded in administrative healthcare records using birthweight and gestational age information recorded in electronic medical records.

methodsWe used billing and medical records from women aged 13-55 years who delivered at a tertiary care center in the USA between 2004 and 2011. Information on birthweight, gestational age at birth, and ICD-9-CM code for SGA, 656.5x, was abstracted from the database. Each infant's birthweight percentile for gestational age was calculated on the basis of published US references; infants below the 10th percentile were classified as SGA. The performance characteristics of SGA ICD-9-CM diagnosis code against SGA classification based on birthweight and gestational age were calculated, for all deliveries and by strata of demographic and delivery characteristics.

resultsWe identified 51 292 singleton live birth deliveries. The prevalence of SGA infants calculated from birthweight and gestational age at birth was higher (13%) than the prevalence based on ICD-9-CM code (2%). Sensitivity of the SGA ICD-9-CM code was 14.2%, specificity was 99.7%, positive predictive value was 86.8%, and negative predictive value was 88.4%. Stratification by demographic and delivery characteristics yielded similar results.

conclusionsIdentification of SGA infants using ICD-9-CM code, 656.5x, from administrative healthcare records has low sensitivity but high specificity; the accuracy did not differ across demographic and delivery characteristics. Thus, although this source of information would underestimate the prevalence of SGA, it could produce valid relative risk estimates.

Indexed as

Infant, Small for Gestational AgeAdolescentAdultBirth WeightDatabases, FactualDiagnostic Techniques, Obstetrical and GynecologicalFemaleHistory, 21st CenturyHumansInternational Classification of DiseasesMiddle Agedgestational agehealthcare recordsICD-9-CM codespharmacoepidemiologysensitivitysmall for gestational agespecificity

Identifiers

PMID25656656
PMCPMC4533984

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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.