SynthesisJournal of general internal medicine2024
The Landscape of Care for Women Veterans with Cancer: An Evidence Map.
Synthesis in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Gynecologic cancers in veterans and military service members compared to non-veterans, 2004-2021: A National cancer database study.Gynecologic oncology reports · 2026Article
- Impact of gynecological cancers on women's mental health.World journal of psychiatry · 2024Article
- Characteristics of women Veterans with incident breast and gynecologic cancers in the Veterans Health Administration.Women's health (London, England)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWomen are the fastest growing veteran group in the US and the number of women veterans (WVs) with cancer is rising; however, little is known about this population. Cancer care for WVs is complex and it is essential to understand their unique needs and care coordination challenges to provide evidence-based care. The purpose of this review is to map the quantity, distribution, and characteristics of literature describing cancer and its treatment among WVs.
methodsWe searched MEDLINE (via PubMed), Embase (Elsevier), and Web of Science Core Collection (Clarivate) from inception through January, 2024. Publications were eligible that reported gender-specific data on any aspect of cancer care among WVs. Data was abstracted by a single investigator with over-reading.
resultsForty-six reports were included; 44 were observational and 19 had a women-only sample. There were no interventional reports and no qualitative reports had a patient sample. Breast cancer was the most commonly addressed (n = 19). There were six additional reports on sex-specific cancers. Many reports used large VA databases or previous trial data, creating the potential for patient overlap between reports. Among VA-specific areas of interest, only three reports evaluated the potential implications of racial differences and only two included a transgender population. No reports examined the effects of toxic exposures on cancer. Within the NCI Cancer Control Continuum, crosscutting areas were more commonly represented; over half (25) of the reports addressed epidemiology. There were few reports on focus areas and little overlap between focus and crosscutting areas. DISCUSSION: Existing literature provides an inadequate understanding of the population of WVs with cancer. There is scant information regarding the population of WVs with cancer, their care preferences or experiences, or how to best identify and address unmet healthcare needs. It is imperative to expand research to provide evidence-based care for this population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.