Evidence map›Paper›PMID 36583244›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2023

Validation of Self-Reported Cancer Diagnoses by Respondent Cognitive Status in the U.S. Health and Retirement Study.

Megan A Mullins, Mohammed Kabeto, Lauren P Wallner, Lindsay C Kobayashi

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Megan A MullinsPeter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0003-2753-9068
Mohammed KabetoDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Lauren P WallnerDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Lindsay C KobayashiCancer Control and Population Sciences Program, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-2725-3107
University of Michigan · USThe University of Texas Southwestern Medical Center · 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
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 R03 CA241841NCI NIH HHS T32 CA236621NCI NIH HHS T32-CA-236621NIA NIH HHS P30 AG012846NIA NIH HHS U01 AG009740NIA NIH HHS U01AG009740
6 · The paper itself

Abstract

backgroundCancer and dementia are becoming increasingly common co-occurring conditions among older adults. Yet, the influence of participant cognitive status on the validity of self-reported data among older adults in population-based cohorts is unknown. We thus compared self-reported cancer diagnoses in the U.S. Health and Retirement Study (HRS) against claims from linked Medicare records to ascertain the validity of self-reported diagnoses by participant cognitive and proxy interview status.

methodsUsing data from HRS participants aged ≥67 who had at least 90% continuous enrollment in fee-for-service Medicare, we examined the validity of self-reported first incident cancer diagnoses from biennial HRS interviews against diagnostic claim records in linked Medicare data (reference standard) for interviews from 2000 to 2016. Cognitive status was classified as normal, cognitive impairment no dementia (CIND), or dementia using the Langa-Weir method. We calculated the sensitivity, specificity, and κ for cancer diagnosis.

resultsOf the 8 280 included participants, 23.6% had cognitive impairment without dementia (CIND) or dementia, and 10.7% had a proxy respondent due to an impairment. Self-reports of first incident cancer diagnoses for participants with normal cognition had 70.2% sensitivity and 99.8% specificity (κ = 0.79). Sensitivity declined substantially with cognitive impairment and proxy response (56.7% for CIND, 53.0% for dementia, 60.0% for proxy respondents), indicating poor validity for study participants with CIND, dementia, or a proxy respondent.

conclusionsSelf-reported cancer diagnoses in the U.S. HRS have poor validity for participants with cognitive impairment, dementia, or a proxy respondent. Population-based cancer research among older adults will be strengthened with linkage to Medicare claims.

Indexed as

Cognition DisordersCognitive DysfunctionNeoplasmsAgedCognitionHumansMedicareRetirementSelf ReportUnited StatesCognitionDementiaSelf-reported diagnosesSensitivitySpecificityValidation

Identifiers

PMID36583244
PMCPMC10329217
OpenAlexW4313312999

What OpenQuestion holds

Textmetadata
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.