Evidence map›Paper›PMID 34737206›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

Validation of Self-reported Cancer Diagnoses Using Medicare Diagnostic Claims in the US Health and Retirement Study, 2000-2016.

Megan A Mullins, Jasdeep S Kler, Marisa R Eastman, Mohammed Kabeto, Lauren P Wallner, Lindsay C Kobayashi

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Examining the relevance of gait speed resiliencies to different stressors: the ARIC Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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  4. Multidimensional functional limitations in American cancer survivors: Characteristics and their effects on survival and healthcare utilization.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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 at 1 institution in 1 country.

Megan A MullinsCenter for Improving Patient and Population Health, University of Michigan, Ann Arbor, Michigan. mamull@umich.edu.ORCID 0000-0003-2753-9068
Jasdeep S KlerDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.ORCID 0000-0003-1259-0055
Marisa R EastmanDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan.
Mohammed KabetoDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Lauren P WallnerCancer Control and Population Sciences Program, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0002-1279-8617
Lindsay C KobayashiCancer Control and Population Sciences Program, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-2725-3107
University of Michigan · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
Interdisciplinary Research Training Center in Cancer Care DeliveryT32CA236621 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lauren P Wallner · 2020 to 2026
$2.8M
Education and cancer-related cognitive decline during agingR03CA241841 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOBAYASHI, LINDSAY C · 2019 to 2020
$156k
NCI NIH HHS P30 CA046592NCI NIH HHS R03 CA241841NCI NIH HHS T32 CA236621NIA NIH HHS P30 AG012846NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundThe US Health Retirement Study (HRS) is an ongoing population-representative cohort of US adults ages >50 with rich data on health during aging. Self-reported cancer diagnoses have been collected since 1998, but they have not been validated. We compared self-reported cancer diagnoses in HRS interviews against diagnostic claims from linked Medicare records.

methodsUsing HRS-Medicare linked data, we examined the validity of first incident cancer diagnoses self-reported in biennial interviews from 2000 to 2016 against ICD-9 and ICD-10 diagnostic claim records as the gold standard. Data were from 8,242 HRS participants ages ≥65 with 90% continuous enrollment in fee-for-service Medicare. We calculated the sensitivity, specificity, and κ for first incident invasive cancer diagnoses (all cancers combined, and each of bladder, breast, colorectal/anal, uterine, kidney, lung, and prostate cancers) cumulatively over the follow-up and at each biennial study interview.

resultsOverall, self-reports of first incident cancer diagnoses from 2000 to 2016 had 73.2% sensitivity and 96.2% specificity against Medicare claims (κ = 0.73). For specific cancer types, sensitivities ranged from 44.7% (kidney) to 75.0% (breast), and specificities ranged from 99.2% (prostate) and 99.9% (bladder, uterine, and kidney). Results were similar in sensitivity analyses restricted to individuals with 100% continuous fee-for-service Medicare enrollment and when restricted to individuals with at least 24 months of Medicare enrollment.

conclusionsSelf-reported cancer diagnoses in the HRS have reasonable validity for use in population-based research that is maximized with linkage to Medicare. IMPACT: These findings inform the use of the HRS for population-based cancer and aging research.

Indexed as

Self ReportAgedAged, 80 and overCohort StudiesFemaleHumansInsurance Claim ReviewMaleMedicareMiddle AgedNeoplasmsRetirementUnited States

Identifiers

PMID34737206
PMCPMC8755623
OpenAlexW3208519806

What OpenQuestion holds

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LicenceTDM
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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.