Evidence map›Paper›PMID 35477781›Full record

ArticleJournal of the National Cancer Institute2022

An Evaluation of Sex- and Gender-Based Analyses in Oncology Clinical Trials.

Mathew Hall, Vaishali A Krishnanandan, Matthew C Cheung, Natalie G Coburn, Barbara Haas, Kelvin K W Chan, Michael J Raphael

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  4. Claims of sex-dependent effects in the behavioral and brain sciences are infrequently supported by valid statistical comparisons.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

7 authors.

Mathew HallDepartment of General Internal Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Vaishali A KrishnanandanDivision of Hematology/Medical Oncology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Matthew C CheungDivision of Hematology/Medical Oncology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Natalie G CoburnDepartment of General Surgery, University of Toronto, Toronto, Ontario, Canada.
Barbara HaasDepartment of General Surgery, University of Toronto, Toronto, Ontario, Canada.
Kelvin K W ChanDivision of Hematology/Medical Oncology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Michael J RaphaelDivision of Hematology/Medical Oncology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-3301-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to evaluate whether sex- and gender-based analyses and proper sex and gender terminology were used in oncology trials leading to regulatory drug approval.

methodsThe Food and Drug Administration (FDA) Hematology/Oncology Approvals and Safety Notifications page was used to identify all anticancer therapies that received FDA approval between 2012 and 2019. The trials used to support FDA drug approval were collected along with all available supplemental tables and study protocols. Documents were reviewed to determine if there was a plan to analyze results according to sex and gender and to determine if consistent sex and gender terminology were used.

resultsWe identified 128 randomized, controlled trials corresponding to a cancer medicine, which received FDA approval. No study specified how sex and gender were collected or analyzed. No study reported any information on the gender of participants. Sex and gender terminology were used inconsistently at least once in 76% (97 of 128) of studies. Among the 102 trials for nonsex-specific cancer sites, 89% (91 of 102) presented disaggregated survival outcome data by sex. No study presented disaggregated toxicity data by sex or gender.

conclusionThe majority of pivotal clinical trials in oncology fail to account for the important distinction between sex and gender and conflate sex and gender terminology. More rigor in designing clinical trials to include sex- and gender-based analyses and more care in using sex and gender terms in the cancer literature are needed. These efforts are essential to improve the reproducibility, generalizability, and inclusiveness of cancer research.

Indexed as

Drug ApprovalNeoplasmsFemaleHumansMaleMedical OncologyReproducibility of ResultsUnited StatesUnited States Food and Drug Administration

Identifiers

PMID35477781
PMCPMC9360459

What OpenQuestion holds

Textmetadata
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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.