Evidence map›Paper›PMID 39185078›Full record

ReviewAsia-Pacific journal of oncology nursing2024

Intimate partner violence in women with cancer: An integrative review.

Feixia Ni, Tingting Zhou, Lili Wang, Tingting Cai

Abstract readReview
In one paragraph

Review in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Experiences of intimate partner violence among female cancer patients: a meta-synthesis of qualitative research.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Pooled it
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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

4 authors.

Feixia NiDepartment of Nursing, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tingting ZhouDepartment of Nursing, Zhongshan Hospital Xiamen University, Xiamen, China.
Lili WangDepartment of Nursing, Ningbo Medical Center Lihuili Hospital, Ningbo, China.
Tingting CaiSchool of Nursing, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to estimate the incidence of intimate partner violence (IPV) among women cancer survivors and identify associated factors. Methods: Using Whittemore and Knafl's integrative review method, we synthesized literature on the association between IPV and cancer in women. Results: We conducted a comprehensive search of literature published between 2003 and 2024 across eight databases, resulting in 24 English-language articles. These articles included qualitative, quantitative, and mixed-method studies. Our synthesis identified several factors influencing the relationship between IPV and cancer, including sociodemographic factors (e.g., age and income), health-related factors, lifestyle-related factors (such as life experiences and interpersonal relationships), cancer-related factors (including type and treatment), and cancer screening behaviors. Conclusions: The study highlights that various factors contribute to the prevalence of IPV among women with cancer. Particularly vulnerable are younger patients, those with lower incomes, and those with more severe disease manifestations. Healthcare professionals should assess for IPV risk during medical consultations and ensure access to appropriate support services.

Indexed as

CancerIntimate partner violenceRelated factorsWomen

Identifiers

PMID39185078
PMCPMC11339029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.