Evidence map›Paper›PMID 37789703›Full record

SynthesisEpidemiologic reviews2023

"We adjusted for race": now what? A systematic review of utilization and reporting of race in American Journal of Epidemiology and Epidemiology, 2020-2021.

Monica E Swilley-Martinez, Serita A Coles, Vanessa E Miller, Ishrat Z Alam, Kate Vinita Fitch, Theresa H Cruz, Bernadette Hohl, Regan Murray, Shabbar I Ranapurwala

Abstract readSystematic Review
In one paragraph

Synthesis in Epidemiologic reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Layoffs in automobile manufacturing and mortality among remaining workers.Journal of epidemiology and community health · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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.

Monica E Swilley-MartinezDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7435, United States.
Serita A ColesDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7440, United States.
Vanessa E MillerInjury Prevention Research Center, University of North Carolina, Chapel Hill, NC 27599, United States.
Ishrat Z AlamDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7435, United States.
Kate Vinita FitchDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7435, United States.
Theresa H CruzPrevention Research Center, Department of Pediatrics, Health Sciences Center, University of New Mexico, Albuquerque, NM 87131, United States.
Bernadette HohlPenn Injury Science Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6021, United States.
Regan MurrayCenter for Public Health and Technology, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, United States.
Shabbar I RanapurwalaDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7435, United States.ORCID 0000-0002-3944-3912

Funding

Innovations in Suicide Prevention Research (INSPIRE)R01MH124752 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PENCE, BRIAN W, RANAPURWALA, SHABBAR I · 2020 to 2023
$3.2M
NCIPC CDC HHS R01 CE003009NIMH NIH HHS R01 MH124752
6 · The paper itself

Abstract

Race is a social construct, commonly used in epidemiologic research to adjust for confounding. However, adjustment of race may mask racial disparities, thereby perpetuating structural racism. We conducted a systematic review of articles published in Epidemiology and American Journal of Epidemiology between 2020 and 2021 to (1) understand how race, ethnicity, and similar social constructs were operationalized, used, and reported; and (2) characterize good and poor practices of utilization and reporting of race data on the basis of the extent to which they reveal or mask systemic racism. Original research articles were considered for full review and data extraction if race data were used in the study analysis. We extracted how race was categorized, used-as a descriptor, confounder, or for effect measure modification (EMM)-and reported if the authors discussed racial disparities and systemic bias-related mechanisms responsible for perpetuating the disparities. Of the 561 articles, 299 had race data available and 192 (34.2%) used race data in analyses. Among the 160 US-based studies, 81 different racial categorizations were used. Race was most often used as a confounder (52%), followed by effect measure modifier (33%), and descriptive variable (12%). Fewer than 1 in 4 articles (22.9%) exhibited good practices (EMM along with discussing disparities and mechanisms), 63.5% of the articles exhibited poor practices (confounding only or not discussing mechanisms), and 13.5% were considered neither poor nor good practices. We discuss implications and provide 13 recommendations for operationalization, utilization, and reporting of race in epidemiologic and public health research.

Indexed as

EthnicityPublic HealthBiasData CollectionHumansSystemic RacismUnited Statesadjustmentconfoundingdiscriminationeffect modificationethnicityrace

Identifiers

PMID37789703
PMCPMC12098948

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.