Evidence map›Paper›PMID 39969615›Full record

ReviewNeurosurgical review2025

Racial, ethnic, and socioeconomic disparities in clinical trial reporting for metastatic spine tumors: An exploration of North American studies.

Ali Haider Bangash, Rose Fluss, Ananth S Eleswarapu, Mitchell S Fourman, Yaroslav Gelfand, Saikiran G Murthy, Reza Yassari, Rafael De la Garza Ramos

Abstract readReview
In one paragraph

Review in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ali Haider BangashSpine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID http://orcid.org/0000-0002-8256-3194
Rose FlussDepartment of Neurosurgery, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Ananth S EleswarapuDepartment of Orthopedic Surgery, Montefiore Medical Center, Albert Einstein College of Medicine, 3316 Rochambeau Avenue, 3rd floor, Bronx, NY, USA.ORCID http://orcid.org/0000-0002-8946-3647
Mitchell S FourmanSpine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID http://orcid.org/0000-0001-5886-546X
Yaroslav GelfandSpine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Saikiran G MurthySpine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Reza YassariSpine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
Rafael De la Garza RamosSpine Research Group, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA. rdelag@montefiore.org.ORCID http://orcid.org/0000-0002-5536-2514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to evaluate the reporting of racial, ethnic, and socioeconomic data in clinical trials exploring the management of metastatic spine disease (MSD).

methodsWe undertook a cross-sectional analysis of North American completed and published clinical trials registered on ClinicalTrials.gov exploring the management of patients with MSD. Data on patient demographics, trial characteristics, reporting of race and ethnicity, distribution of racial and ethnic groups, and reporting of socioeconomic measures was extracted from ClinicalTrials.gov and related publications identified through PubMed and Google Scholar searches. An exploratory data analysis was performed, followed by Pearson's Chi-square and binary logistic regression analyses to explore associations of covariates with racioethnic reporting.

resultsOut of 158 completed trials, only 8% (12 of 158) met inclusion criteria with published results. These 12 trials included a total of 1,568 patients with a mean age of 61 years. Almost half (42%; (5 of 12)) of trials did not report race, while only 17% (2 of 12) of trials reported ethnicity. In trials reporting complete racial data (n = 5), 77% (377 of 493) patients were White, 15% (n = 73) Black or African American, and 4% (n = 19) Asian. American Indian/Alaska Native and Native Hawaiian/Other Pacific Islander patients were severely underrepresented (0.4% and 0.2%, respectively). Of the two trials reporting ethnicity, 94% (479 of 514) patients were Not Hispanic or Latino. Sponsoring body of the trial, trial phase, intervention type, number of trial patients, or mean age of patients were not significantly associated with racioethnic reporting. Notably, no trial reported any measures of socioeconomic status.

conclusionOur review revealed significant gaps in the reporting of racial, ethnic, and socioeconomic data in MSD clinical trials, with substantial underrepresentation of minority groups. This underrepresentation limits the generalizability of trial findings and may perpetuate health disparities. Coordinated efforts from researchers, clinicians, policymakers, and funding bodies are needed to improve diversity in future trials. Strategies such as targeted outreach, community engagement, and more inclusive eligibility criteria should be implemented to ensure that trial populations better reflect the diversity of MSD patients in the general population.

Indexed as

Clinical Trials as TopicHealthcare DisparitiesSpinal NeoplasmsAgedCross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedNorth AmericaRacial GroupsSocioeconomic Disparities in HealthSocioeconomic FactorsDiversityEmploymentInsuranceMetastatic spine diseaseRaceSocioeconomic statusVulnerability

Identifiers

PMID39969615
PMCPMC11839828

What OpenQuestion holds

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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.