Evidence map›Paper›PMID 39786652›Full record

ArticleCancer causes & control : CCC2025

Registry versus claims-based index dates for studies of cancer diagnosis in administrative data.

Sarah E Soppe, Sharon Peacock Hinton, Jamie C Halula, Jennifer L Lund, Chris D Baggett, Sandi L Pruitt, Megan A Mullins, Ellis C Dillon, Matthew E Barclay, Matthew Thompson and 3 more

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Exploring Clinical Pathways to a Metastatic Lung Cancer Diagnosis: A Latent Class Analysis Using North Carolina Multipayer Claims Data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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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

13 authors.

Sarah E SoppeDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sharon Peacock HintonDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jamie C HalulaDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jennifer L LundDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Chris D BaggettDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sandi L PruittPeter O'Donnell School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Megan A MullinsPeter O'Donnell School of Public Health, UT Southwestern Medical Center, Dallas, TX, USA.
Ellis C DillonCenter on Aging, University of Connecticut Health Center, Farmington, CT, USA.
Matthew E BarclayEpidemiology of Cancer Healthcare and Outcomes, Department of Behavioural Science and Health, Institute of Epidemiology and Health Care (IEHC), University College London, London, UK.
Matthew ThompsonDepartment of Family Medicine, University of Washington, Seattle, WA, USA.
Nicholas PettitDepartment of Emergency Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, IN, USA.
Georgios LyratzopoulosEpidemiology of Cancer Healthcare and Outcomes, Department of Behavioural Science and Health, Institute of Epidemiology and Health Care (IEHC), University College London, London, UK.
Caroline A ThompsonDepartment of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. caroline.thompson@unc.edu.

Funding

Diagnosis of Cancer in the Emergency Room - Explaining Persistent Disparities - Diversity SupplementR01CA264176 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THOMPSON, CAROLINE AVERY · 2021 to 2025
$2.0M
American Cancer Society CSDG-23-1025372-01-CPSHCancer Research UK International Alliance for Cancer Early Detection EDDAPA-2022/100002NCATS NIH HHS L30 TR001787NCI NIH HHS R01 CA264176NCI NIH HHS R01-CA-264176Susan G. Komen TREND21686258
6 · The paper itself

Abstract

purposeStudies of healthcare encounters leading to cancer diagnosis have increased over recent years. While some studies examine healthcare utilization before the cancer registry date of diagnosis, relevant pre-diagnosis interactions are not always immediately prior to this date due to date abstraction guidelines. We evaluated agreement of a registry date with a claims-based index and examined Emergency Department (ED) involvement in cancer diagnosis as an example of possible pre-diagnostic healthcare misclassification that could arise from improper date choice.

methodsWe implemented an algorithm to define a claims-based index as the date of the earliest International Classification of Diseases code for the cancer in Medicare and estimated agreement with the date of diagnosis from a North Carolina registry for patients diagnosed aged 66 or older with 16 cancer types from 2008 to 2017 (n = 92,056). We then classified whether each cancer was initially diagnosed through care originating in the ED using each date.

resultsThe index date was identical to the cancer registry date for 47% of patients and preceded the registry date for 28%, with extent of agreement varying by cancer- and patient-specific characteristics. Agreement in ED-involved diagnosis classification using each date varied by cancer site, with sensitivity of classifications using the registry date relative to the index having a minimum of 86% for prostate and kidney cancer.

conclusionStudies assessing healthcare utilization proximal to cancer diagnosis should carefully consider the relevant assessment window and be aware that the use of cancer registry versus claims-based dates may impact variable classification.

Indexed as

Insurance Claim ReviewNeoplasmsRegistriesAgedAged, 80 and overAlgorithmsEmergency Service, HospitalFemaleHumansMaleMedicareNorth CarolinaUnited StatesDiagnosis dateEarly diagnosisEmergency diagnosisRoutes to diagnosisSEER–Medicare

Identifiers

PMID39786652
PMCPMC12173027

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Registered trials

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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.