Evidence map›Paper›PMID 30714689›Full record

Trial reportCancer medicine2019

A system-based intervention to reduce Black-White disparities in the treatment of early stage lung cancer: A pragmatic trial at five cancer centers.

Samuel Cykert, Eugenia Eng, Paul Walker, Matthew A Manning, Linda B Robertson, Rohan Arya, Nora S Jones, Dwight E Heron

Abstract readClinical TrialMulticenter StudyPragmatic Clinical Trial
In one paragraph

Trial report in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Patient navigation programmes for symptomatic lung cancer patients: a scoping review.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Systematic Review of Interventions Addressing Racial and Ethnic Disparities in Cancer Care and Health Outcomes.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Pooled it
  3. Effect of an Antiracism Intervention on Racial Disparities in Time to Lung Cancer Surgery.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
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  15. Inequity in Cancer and Cancer Care Delivery in the United States.Hematology/oncology clinics of North America · 2024
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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

8 authors.

Samuel CykertDivision of General Medicine and Clinical Epidemiology, The Center for Health Promotion and Disease Prevention, The Lineberger Cancer Center, The University of North Carolina School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0003-2037-6809
Eugenia EngDepartment of Health Behavior, The Gilling's School of Global Public Health, Chapel Hill, North Carolina.
Paul WalkerLeo Jenkins Cancer Center, Brody School of Medicine - East Carolina University, Greenville, North Carolina.
Matthew A ManningCone Health Cancer Center, Greensboro, North Carolina.
Linda B RobertsonUPMC Hillman Cancer Center, Pittsburgh, Pennsylvania.
Rohan AryaPalmetto Health and the University of South Carolina School of Medicine, Columbia, South Carolina.
Nora S JonesThe Partnership Project, Greensboro, North Carolina.
Dwight E HeronDepartment of Radiation Oncology, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania.ORCID 0000-0001-6282-1806

Funding

Accountability for Cancer Care through Undoing Racism and Equity (ACCURE)R01CA150980 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CYKERT, SAMUEL NMN, ENG, EUGENIA · 2012 to 2017
$2.9M
NCI NIH HHS R01 CA150980
6 · The paper itself

Abstract

backgroundAdvances in early diagnosis and curative treatment have reduced high mortality rates associated with non-small cell lung cancer. However, racial disparity in survival persists partly because Black patients receive less curative treatment than White patients.

methodsWe performed a 5-year pragmatic, trial at five cancer centers using a system-based intervention. Patients diagnosed with early stage lung cancer, aged 18-85 were eligible. Intervention components included: (1) a real-time warning system derived from electronic health records, (2) race-specific feedback to clinical teams on treatment completion rates, and (3) a nurse navigator. Consented patients were compared to retrospective and concurrent controls. The primary outcome was receipt of curative treatment.

resultsThere were 2841 early stage lung cancer patients (16% Black) in the retrospective group and 360 (32% Black) in the intervention group. For the retrospective baseline, crude treatment rates were 78% for White patients vs 69% for Black patients (P < 0.001); difference by race was confirmed by a model adjusted for age, treatment site, cancer stage, gender, comorbid illness, and income-odds ratio (OR) 0.66 for Black patients (95% CI 0.51-0.85, P = 0.001). Within the intervention cohort, the crude rate was 96.5% for Black vs 95% for White patients (P = 0.56). Odds ratio for the adjusted analysis was 2.1 (95% CI 0.41-10.4, P = 0.39) for Black vs White patients. Between group analyses confirmed treatment parity for the intervention.

conclusionA system-based intervention tested in five cancer centers reduced racial gaps and improved care for all.

Indexed as

Black or African AmericanWhite PeopleAdolescentAdultAgedAged, 80 and overFemaleHealthcare DisparitiesHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingOutcome Assessment, Health CarePatient CareYoung Adultcancer disparitieshealth equityinterventionpragmatic trialsystems change

Identifiers

PMID30714689
PMCPMC6434214

What OpenQuestion holds

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LicenceCC BY
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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.