Evidence map›Paper›PMID 33119199›Full record

ArticleCancer2021

Role of implicit bias in pediatric cancer clinical trials and enrollment recommendations among pediatric oncology providers.

Dylan E Graetz, Arshia Madni, Jeffrey Gossett, Guolian Kang, Janice A Sabin, Victor M Santana, Carolyn L Russo

Abstract readMulticenter Study
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Implementation of a Healthcare Implicit Bias Training across Three Oncology Care Settings.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Unconscious Bias among Health Professionals: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  6. Article
  7. The most vulnerable pediatric cancer patients.Lancet regional health. Americas · 2023
    Article
  8. Article
  9. Moving Beyond Patient-Level Drivers of Racial/Ethnic Disparities in Childhood Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  10. Article
  11. 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

7 authors.

Dylan E GraetzDepartment of Oncology, St. Jude Children's Research Hospital and Comprehensive Cancer Center, Memphis, Tennessee.ORCID 0000-0002-4541-6910
Arshia MadniDepartment of Oncology, St. Jude Children's Research Hospital and Comprehensive Cancer Center, Memphis, Tennessee.
Jeffrey GossettDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee.
Guolian KangDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee.
Janice A SabinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington.
Victor M SantanaDepartment of Oncology, St. Jude Children's Research Hospital and Comprehensive Cancer Center, Memphis, Tennessee.ORCID 0000-0003-0320-5776
Carolyn L RussoDepartment of Hematology, St. Jude Children's Research Hospital, Memphis, Tennessee.ORCID 0000-0002-8034-7260

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
NCI NIH HHS P30 CA021765
6 · The paper itself

Abstract

backgroundProvider implicit bias can negatively affect clinician-patient communication. In the current study, the authors measured implicit bias training among pediatric oncology providers and exposure to implicit association tests (IATs). They then assessed associations between IATs for race and socioeconomic status (SES) and recommendations for clinical trial enrollment.

methodsA prospective multisite study was performed to measure implicit bias among oncology providers at St. Jude Children's Research Hospital and affiliate clinics. An IAT was used to assess bias in the domains of race and SES. Case vignettes were used to determine an association between bias and provider recommendation for trial enrollment. Data were analyzed using Student t tests or Wilcoxon tests for comparisons and Jonckheere-Terpstra tests were used for association.

resultsOf the 105 total participants, 95 (90%) had not taken an IAT and 97 (92%) had no prior implicit bias training. A large effect was found for (bias toward) high SES (Cohen d, 1.93) and European American race (Cohen d, 0.96). The majority of participants (90%) had a vignette score of 3 or 4, indicating recommendation for trial enrollment for most or all vignettes. IAT and vignette scores did not significantly differ between providers at St. Jude Children's Research Hospital or affiliate clinics. No association was found between IAT and vignette scores for race (P = .58) or SES (P = .82).

conclusionsThe authors noted a paucity of prior exposure to implicit bias self-assessments and training. Although these providers demonstrated preferences for high SES and European American race, this did not appear to affect recommendations for clinical trial enrollment as assessed by vignettes.

Indexed as

Hospitals, PediatricSocial ClassAttitude of Health PersonnelChildClinical Decision-MakingClinical Trials as TopicHealthcare DisparitiesHumansNeoplasmsOncologistsPediatriciansPhysician-Patient RelationsProspective StudiesRacismUnited StatesWhite Peopleclinical trialsenrollmentimplicit association testsimplicit biaspediatric oncology

Identifiers

PMID33119199
PMCPMC7790838

What OpenQuestion holds

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LicenceCC BY-NC
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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.