Evidence map›Paper›PMID 40323589›Full record

ArticleJNCI cancer spectrum2025

Accuracy of self-reported exam indications for breast cancer screening.

Erin J Aiello Bowles, Hongyuan Gao, Lynn E Fleckenstein, Perla Bravo, Michael G Nash, Bryan Comstock, Chris Neslund-Dudas, Jin Mou, Larry G Kessler

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2025. 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
–field-weighted citation impact
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.

  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

9 authors.

Erin J Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.ORCID 0000-0001-6287-7391
Hongyuan GaoKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.ORCID 0000-0001-9068-2364
Lynn E FleckensteinKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, United States.ORCID 0009-0008-9533-7015
Perla BravoDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0009-0007-0426-8572
Michael G NashDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0000-0003-1950-5837
Bryan ComstockDepartment of Biostatistics, School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0000-0003-2599-1608
Chris Neslund-DudasDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, United States.ORCID 0000-0002-2506-1964
Jin MouInstitute for Research and Innovation, MultiCare Health System, Tacoma, WA, United States.ORCID 0000-0001-8350-3292
Larry G KesslerDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.

Funding

Centers for Disease Prevention and Control 5U48DP006398-02-00NCCDPHP CDC HHS U48 DP006398
6 · The paper itself

Abstract

We validated updated National Health Interview Survey questions on mammography indications compared with electronic health records (EHRs). We asked 244 Kaiser Permanente Washington members ages 40-74 years and eligible for breast cancer screening to self-report their most recent mammogram reason by using a series of new hierarchical yes/no questions. We first asked if they had the mammogram because of a health problem, then as a follow-up test, and last for screening. We compared self-reported reasons with 2 EHR datasets: procedure/diagnostic codes and radiologist-defined indications. Self-reported exams for a health problem had 89.2% agreement with codes and 92.2% agreement with radiologist-defined indications. Self-reported exams for follow-up had 87.5% agreement with codes and 89.3% agreement with radiologist-defined indications. Self-reported exams for screening had 91.4% agreement with codes and 95.7% agreement with radiologist-defined indications. Self-reported mammogram indications have good agreement with procedure/diagnostic codes and radiologist-reported indications, when asked using this novel hierarchical approach.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyMass ScreeningSelf ReportAdultAgedElectronic Health RecordsFemaleHumansMiddle AgedWashington

Identifiers

PMID40323589
PMCPMC12124912

What OpenQuestion holds

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LicenceCC BY-NC
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.