Evidence map›Paper›PMID 41081917›Full record

ArticleJournal of cancer research and clinical oncology2025

Exploring determinants of fear of cancer recurrence in postoperative colorectal cancer patients: a random forest model approach.

Jiazhao Wu, Yihong Cao, Lifeng Yao, Li Chen, Lijuan Xu

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2025. 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

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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jiazhao Wu *Department of Nursing, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Yihong Cao *Department of Nursing, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Lifeng YaoDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Li ChenDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. chenliacyx@163.com.ORCID http://orcid.org/0009-0008-4771-2917
Lijuan XuDepartment of Nursing, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. jfdzlyy2006@163.com.ORCID http://orcid.org/0009-0008-3600-830X

Funding

Huhang Nursing Research Fund of Shanghai Anticancer Association SACA-HH202309
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is common in China, and many postoperative patients experience fear of cancer recurrence (FCR), which negatively affects mental health and quality of life. Predictors of FCR remain underexplored, and traditional regression may overlook complex interactions, whereas random forest (RF) modeling allows robust variable selection. PURPOSE: To assess FCR prevalence and identify associated factors using a RF model.

methodsBetween November 2023 and May 2024, 314 postoperative colorectal cancer patients were enrolled at Fudan University Shanghai Cancer Center. Data were collected using the Brief Illness Perception Questionnaire (BIPQ), Cognitive Emotion Regulation Questionnaire (CERQ), Social Support Rating Scale (SSRS), and Social Constraints Scale-15 (SCS-15). Predictors were ranked using a random forest model and confirmed via binary logistic regression.

resultsHigh FCR was reported by 58.9% of patients. Key predictors (> 5%) included illness perception, negative and positive emotion regulation, social support, social constraints, age, and income. Univariate analyses showed strong associations for BIPQ, CERQ-maladaptive (CERQ-M), SCS-15 (P < 0.001), with income, SSRS, and CERQ-adaptive (CERQ-A) also significant (P < 0.05). Logistic regression confirmed BIPQ, SCS-15, and CERQ-M predicted FCR. Age, despite > 5%, was not independently significant, likely due to adjustment for other psychosocial factors and complex interactions.

conclusionA substantial proportion of CRC survivors experience high FCR. Illness perceptions, social constraints, and maladaptive coping are key determinants. Integrating psychosocial screening and targeted interventions into postoperative care may reduce FCR and improve quality of life.

Indexed as

Colorectal NeoplasmsFearNeoplasm Recurrence, LocalAdultAgedChinaFemaleHumansMaleMiddle AgedPostoperative PeriodQuality of LifeRandom ForestSocial SupportSurveys and QuestionnairesCRCDeterminantsFCRRF algorithm

Identifiers

PMID41081917
PMCPMC12518193

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.