Evidence map›Paper›PMID 37403053›Full record

ArticleBMC cancer2023

Family resilience and its influencing factors among advanced cancer patients and their family caregivers: a multilevel modeling analysis.

Panpan Cui, Jiaoxia Shi, Shifeng Li, Mikiyas Amare Getu, Ruibo Wang, Changying Chen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
20.0field-weighted citation impact, top 1% of its field
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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  7. Family resilience clusters and quality of life in adolescents and young adults with cancer and their caregivers: a dyadic cluster analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  9. Classifying family resilience trajectory of patients undergoing lung cancer surgery: a longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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

6 authors at 4 institutions in 2 countries.

Panpan CuiNursing department, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Jiaoxia ShiMedical Oncology, Jiaozuo People's Hospital, Jiaozuo, China.
Shifeng LiMedical Oncology, Xinyang Central Hospital, Xinyang, China.
Mikiyas Amare GetuSchool of Nursing, Zhengzhou University, Zhengzhou, China.
Ruibo WangSchool of Nursing, Zhengzhou University, Zhengzhou, China.
Changying ChenThe First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, Zhengzhou, China. changying@zzu.edu.cn.ORCID http://orcid.org/0000-0003-2151-7351
Zhengzhou University · CNHenan Institute of Education · CNJiaozuo University · CNXinyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer is highly prevalent worldwide. Family resilience is a positive variable that helps families burdened by advanced cancer to cope effectively. This study aimed to describe the family resilience of advanced cancer patients and caregivers in dyads and identify its influencing factors at the individual and dyadic levels.

methodsThis multisite cross-sectional study was conducted in oncology units in five tertiary hospitals in China. A total of 270 advanced cancer patient-caregiver dyads were recruited between June 2020 and March 2021. Patients' and caregivers' family resilience was measured by the Family Resilience Assessment Scale. Data on potential influencing factors, including demographic and disease-related characteristics as well as family sense of coherence, psychological resilience, perceived social support, symptom burden, and caregiver burden, were collected. Multilevel modeling analysis was adopted to control for the interdependence of the dyads.

resultsA total of 241 dyads were included in the data analysis. The mean ages of patients and caregivers were 53.96 (SD 15.37) and 45.18 (SD 13.79) years, respectively. Most caregivers were spouses and adult children (45.6% and 39.0%, respectively). Patients reported a higher mean family resilience score than caregivers (152.56 vs. 149.87, respectively). Undergoing fewer than two types of treatment and a lower symptom burden of patients predicted higher patient (B = -9.702, -0.134, respectively) and caregiver (B = -5.462, -0.096, respectively) family resilience. Patients also reported higher family resilience under the following conditions: 1) were on a medical insurance plan other than the new rural cooperative medical system (B = 6.089), 2) had a better family sense of coherence (B = 0.415), 3) whose caregivers were unmarried (B = 8.618), perceived lower social support (B = -0.145) and higher psychological resilience (B = 0.313). Caregivers who were ≤ 44 years old (B = -3.221), had similar previous caregiving experience (B = 7.706), and had a stronger family sense of coherence (B = 0.391) reported higher family resilience.

conclusionsOur findings highlight the importance of adopting a dyadic approach when caring for advanced cancer patients and their caregivers. Dyadic longitudinal research is suggested to discover more modifiable factors of family resilience and tailored interventions are needed to obtain optimal dyadic outcomes.

Indexed as

NeoplasmsResilience, PsychologicalAdaptation, PsychologicalAdolescentAdultCaregiversCross-Sectional StudiesFamilyFamily HealthHumansQuality of LifeAdvanced cancerCaregiversDyadsFamily resilienceInfluencing factors

Identifiers

PMID37403053
PMCPMC10320962
OpenAlexW4383067518

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.