Evidence map›Paper›PMID 37915037›Full record

ArticleBMC women's health2023

Characteristics and survival of patients with gynecological cancers who refuse radiotherapy: a retrospective cohort study.

Shuangli Zhang, Jie He, Jun Liu

Abstract read
In one paragraph

Article in BMC women's health, 2023. 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

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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

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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. Review
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

3 authors.

Shuangli ZhangDepartment of Gynecology, Beijing Ditan Hospital, Capital Medical University, No.8 Jingshun East Street, Chaoyang District, Beijing, 100200, China.
Jie HeDepartment of Gynecology, Beijing Liangxiang Hospital, Capital Medical University, Beijing, 102401, China.
Jun LiuDepartment of Gynecology, Beijing Ditan Hospital, Capital Medical University, No.8 Jingshun East Street, Chaoyang District, Beijing, 100200, China. liujuncmu@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiotherapy improves survival for many cancer patients. However, some patients still refuse radiotherapy despite the recommendations of their physicians. We aimed to investigate the impact of refusing recommended radiotherapy on overall survival in patients with gynecological cancers (GC) and attempted to describe what characteristics are associated with the refusal of radiotherapy.

methodsData were extracted from the Surveillance, Epidemiology and End Result (SEER) database for patients who were diagnosed with GC and recommended for radiotherapy between 1988 and 2016. Kaplan-Meier and multivariate Cox regression analyses were utilized to analyze the impact of refusal of radiotherapy on overall survival. Univariate and multivariate logistic regression analyses were used to identify characteristics associated with refusal of radiotherapy.

resultsIn total, 1,226 of 208,093 patients (0.6%) refused radiotherapy. Multivariate Cox regression analysis showed that refusal of radiotherapy was associated with poorer overall survival in GC patients with stage I/II [hazard ratio (HR) = 1.64; 95% confidence interval (CI), 1.50-1.79], but may not affect overall survival in patients with stage III/IV (HR = 1.03; 95%CI, 0.84-1.25). Multivariate logistic regression analysis demonstrated that factors such as older age (40-65 years, > 65 years), unmarried status (divorced, single, widowed), higher foreign-born rate (1.87-2.82%, 1.51-2.19), refusal of surgery (recommended but not performed), and higher grade (poorly differentiated, undifferentiated/anaplastic) may increase the likelihood of refusing radiotherapy (all P < 0.05). Factors that may reduce the likelihood of refusing radiotherapy include higher income (> 42,810$), lower grade (well-differentiated), primary site of ovarian cancer, and no/unknown chemotherapy (all P < 0.05).

conclusionRefusal of radiotherapy is related to worse overall survival in GC patients with stage I/II, and many characteristics may affect a patient's choice of refusal of radiotherapy.

Indexed as

NeoplasmsTreatment RefusalHumansMultivariate AnalysisProportional Hazards ModelsRetrospective StudiesGynecological cancersOverall survivalRefusal of radiotherapyStage

Identifiers

PMID37915037
PMCPMC10621229

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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.