Evidence map›Paper›PMID 34773439›Full record

ArticlePediatric blood & cancer2022

Positive predictive value and sensitivity of ICD-9-CM codes for identifying pediatric leukemia.

Sheila Weinmann, Melanie C Francisco, Marilyn L Kwan, Erin J A Bowles, Alanna Kulchak Rahm, Robert T Greenlee, Natasha K Stout, Jason D Pole, Lawrence H Kushi, Rebecca Smith-Bindman and 1 more

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Article in Pediatric blood & cancer, 2022. 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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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Sheila WeinmannCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA.ORCID 0000-0002-7696-0070
Melanie C FranciscoCenter for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Erin J A BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA.ORCID 0000-0001-6287-7391
Alanna Kulchak RahmCenter for Health Research, Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA.
Robert T GreenleeMarshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, Wisconsin, USA.
Natasha K StoutDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Jason D PoleThe Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0002-0413-5434
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Oakland, California, USA.
Rebecca Smith-BindmanDepartment of Radiology and Biomedical Imaging, Epidemiology and Biostatistics, University of California, San Francisco, California, USA.
Diana L MigliorettiDepartment of Public Health Sciences, University of California, Davis, California, USA.

Funding

Risk of Pediatric and Adolescent Cancer Associated with Medical ImagingR01CA185687 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KWAN, MARILYN L, MIGLIORETTI, DIANA L · 2015 to 2019
$10.0M
Group Health Cancer Research Program Research Specialist AwardR50CA211115 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BOWLES, ERIN JANELLE AIELLO · 2017 to 2021
$919k
NCI NIH HHS R01 CA185687NCI NIH HHS R50 CA211115
6 · The paper itself

Abstract

backgroundTo facilitate community-based epidemiologic studies of pediatric leukemia, we validated use of ICD-9-CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996-2015 and evaluated the additional contributions of procedure codes for diagnosis/treatment. PROCEDURES: Subjects (N = 408) were children and adolescents born in the health systems and enrolled for at least 120 days after the date of the first leukemia ICD-9-CM code or tumor registry diagnosis. The gold standard was the health system tumor registry and/or medical record review. We calculated positive predictive value (PPV) and sensitivity by number of ICD-9-CM codes received in the 120-day period following and including the first code. We evaluated whether adding chemotherapy and/or bone marrow biopsy/aspiration procedure codes improved PPV and/or sensitivity.

resultsRequiring receipt of one or more codes resulted in 99% sensitivity (95% confidence interval [CI]: 98-100%) but poor PPV (70%; 95% CI: 66-75%). Receipt of two or more codes improved PPV to 90% (95% CI: 86-93%) with 96% sensitivity (95% CI: 93-98%). Requiring at least four codes maximized PPV (95%; 95% CI: 92-98%) without sacrificing sensitivity (93%; 95% CI: 89-95%). Across health plans, PPV for four codes ranged from 84-100% and sensitivity ranged from 83-95%. Including at least one code for a bone marrow procedure or chemotherapy treatment had minimal impact on PPV or sensitivity.

conclusionsThe use of diagnosis codes from the electronic health record has high PPV and sensitivity for identifying leukemia in children and adolescents if more than one code is required.

Indexed as

International Classification of DiseasesLeukemiaAdolescentAlgorithmsChildElectronic Health RecordsHumansPredictive Value of Testsadolescentschildrendiagnosis codesleukemiapositive predictive valuesensitivity

Identifiers

PMID34773439
PMCPMC9933870

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