Evidence map›Paper›PMID 41357919›Full record

ArticleWorld journal of psychiatry2025

Influencing factors and predictive model construction of anxiety and depression in patients with cervical cancer.

Zhi-Jia Xie, Hao Zhang, Ru-Yue Ma, Hai-Lan Su

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Article in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Zhi-Jia XieDepartment of Gynaecology, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People's Hospital), Suzhou 215200, Jiangsu Province, China.
Hao ZhangDepartment of Psychiatry, Suzhou Wujiang District Mental Rehabilitation Hospital, Suzhou 215200, Jiangsu Province, China.
Ru-Yue MaDepartment of Gynaecology, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People's Hospital), Suzhou 215200, Jiangsu Province, China.
Hai-Lan SuDepartment of Gynaecology, Suzhou Ninth Hospital Affiliated to Soochow University (Suzhou Ninth People's Hospital), Suzhou 215200, Jiangsu Province, China. shl20250618@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnxiety and depression are highly prevalent among patients with cervical cancer (CC). However, few studies have systematically analyzed the psychological effects of tumor stage, treatment methods, and related factors on these patients, or developed predictive models for these outcomes.

aimTo identify factors influencing anxiety and depression in patients with CC and construct predictive models.

methodsWe retrospectively analyzed data from 119 patients with CC treated at the Gynecology Department of Suzhou Ninth People's Hospital between January 2017 and May 2025. Clinical data, psychological hope levels at diagnosis, and Self-Rating Anxiety Scale and Self-Rating Depression Scale scores during treatment were collected. Influencing factors were identified, and predictive models were developed. The model performance was evaluated using receiver operating characteristic (ROC) curves and the Hosmer-Lemeshow goodness-of-fit test.

resultsDuring treatment, 64.71% of the patients experienced anxiety and 52.10% experienced depression. Significant differences in family income, tumor stage, treatment modality, and hope level were observed between patients with and without anxiety/depression (

conclusionFamily income, tumor stage, treatment method, and hope level are key determinants of anxiety and depression in patients with CC. Predictive models incorporating these factors can effectively assess risk of anxiety and depression during treatment.

Indexed as

AnxietyCervical cancerDepressionInfluencing factorsPrediction model

Identifiers

PMID41357919
PMCPMC12679189

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