Evidence map›Paper›PMID 23938598›Full record

ArticleMedical care2016

Validity of Race, Ethnicity, and National Origin in Population-based Cancer Registries and Rapid Case Ascertainment Enhanced With a Spanish Surname List.

Lisa C Clarke, Rudolph P Rull, John Z Ayanian, Robert Boer, Dennis Deapen, Dee W West, Katherine L Kahn

Abstract readValidation Study
In one paragraph

Article in Medical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Review
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

7 authors.

Lisa C Clarke*Epidemiology Program, County of Marin, San Rafael, CA†School of Community Health Sciences, University of Nevada, Reno, Reno, NV‡Department of Health Research and Policy, Stanford School of Medicine, Stanford, CA§Brigham and Women's Hospital∥Department of Health Policy, Harvard Medical School, Boston, MA¶Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands#Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive, Cancer Center, University of Southern California, Los Angeles**Cancer Prevention Institute of California, Fremont††The RAND Corporation, Santa Monica‡‡UCLA School of Medicine, Los Angeles, CA.
Rudolph P Rull
John Z Ayanian
Robert Boer
Dennis Deapen
Dee W West
Katherine L Kahn

Funding

PROPENSITY SCORES IN HIERARCHICAL MODELSU01CA093344 · NCI · DANA-FARBER CANCER INSTITUTE · PI AYANIAN, JOHN Z., FOUAD, MONA N. · 2001 to 2011
$19.5M
RAND-UCLA CanCORS PDCR ApplicationU01CA093348 · NCI · RAND CORPORATION · PI KAHN, KATHERINE LESLIE · 2001 to 2008
$7.3M
NCI NIH HHS U01 CA093344NCI NIH HHS U01 CA093348
6 · The paper itself

Abstract

backgroundAccurate information regarding race, ethnicity, and national origins is critical for identifying disparities in the cancer burden.

objectivesTo examine the use of a Spanish surname list to improve the quality of race-related information obtained from rapid case ascertainment (RCA) and to estimate the accuracy of race-related information obtained from cancer registry records collected by routine reporting. SUBJECTS: Self-reported survey responses of 3954 participants from California enrolled in the Cancer Care Outcomes Research and Surveillance Consortium. MEASURES: Sensitivity, specificity, positive predictive value, and percent agreement. We used logistic regression to identify predictors of underreporting and overreporting of a race/ethnicity.

resultsUse of the Spanish surname list increased the sensitivity of RCA for Latino ethnicity from 37% to 83%. Sensitivity for cancer registry records collected by routine reporting was ≥95% for whites, blacks, and Asians, and specificity was high for all groups (86%-100%). However, patterns of misclassification by race/ethnicity were found that could lead to biased cancer statistics for specific race/ethnicities. Discordance between self-reported and registry-reported race/ethnicity was more likely for women, Latinos, and Asians.

conclusionsMethods to improve race and ethnicity data, such as using Spanish surnames in RCA and instituting data collection guidelines for hospitals, are needed to ensure minorities are accurately represented in clinical and epidemiological research.

Indexed as

Healthcare DisparitiesCaliforniaData CollectionFemaleHispanic or LatinoHumansMaleNeoplasmsPopulation SurveillanceRegistries

Identifiers

PMID23938598
PMCPMC4449309

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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.