Evidence map›Paper›PMID 40406570›Full record

ArticleEJHaem2025

Gender Disparity in Enrollment in Clinical Trials for Hairy Cell Leukemia Treatments in the Last 40 Years.

Oscar F Borja-Montes, Anna Bode, Tomas Escobar-Gil, Alejandro Toro-Pedroza, Narandranath Epperla, Leslie A Andritsos

Abstract read
In one paragraph

Article in EJHaem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Oscar F Borja-MontesDepartment of Internal Medicine University of New Mexico Albuquerque New Mexico USA.ORCID https://orcid.org/0000-0003-3569-9360
Anna BodeDepartment of Internal Medicine University of New Mexico Albuquerque New Mexico USA.
Tomas Escobar-GilDepartment of Internal Medicine University of New Mexico Albuquerque New Mexico USA.
Alejandro Toro-PedrozaFundación Valle Del Lili, ICESI University Cali Colombia.
Narandranath EpperlaDivision of Hematology and Hematologic Malignancies Huntsman Cancer Institute, University of Utah Salt Lake USA.ORCID https://orcid.org/0000-0002-8216-3457
Leslie A AndritsosDepartment of Hematology University of New Mexico Albuquerque New Mexico USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hairy Cell Leukemia (HCL) is a B-cell lymphoproliferative disorder that predominantly affects males, yet recent evidence suggests a notable gender participation gap in HCL clinical trials. This study aims to characterize that disparity and explore potential factors contributing to the under-enrollment of females. Methods: In this descriptive, retrospective study, we searched EMBASE, PUBMED, Cochrane Central, and ClinicalTrials.gov from January 1983 to December 2023 for publications on clinical trials (CT) in HCL, descriptive statistical analysis of all the sociodemographic variables was performed. Results: We analyzed 57 clinical trials totaling 4595 HCL patients, with 79.1% male and 20.9% female participants. The male-to-female ratio declined from 5.91 (1983-1993) to 4.19 (2014-2023). Although the gender gap narrowed over time, female participation slightly decreased to 19.2% in the most recent period (2014-2023). Conclusions: Female enrollment in HCL clinical trials remains disproportionately low compared to incidence rates, underscoring the need to address underlying barriers to improve equity in clinical research and treatment outcomes. Trial Registration: The authors have confirmed clinical trial registration is not needed for this submission.

Indexed as

B‐lymphocytesclinical trialsGender disparityhairy cell leukemia

Identifiers

PMID40406570
PMCPMC12096315

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.