Evidence map›Paper›PMID 41718816›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Analysis of the current status and influencing factors of cognitive impairment in patients with different cancer types: a cross-sectional study.

Chen Hu, Yanfang Zheng, Xin Wang, Jie Li, Hao Gong, Ziqi Zhang, Shuyan Xing, Jiyu Wang, Yang Yang, Huiyi Lv

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. 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

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10 authors.

Chen Hu *Shanxi Medical University School of Nursing, Taiyuan, 030001, Shanxi, China.
Yanfang Zheng *Shanxi Medical University School of Nursing, Taiyuan, 030001, Shanxi, China.
Xin WangShanxi Medical University School of Nursing, Taiyuan, 030001, Shanxi, China.
Jie LiDepartment of Obstetrics and Gynecology, Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences), Taiyuan, 030032, China.
Hao GongComputer Science and Technology (School of Big Data), Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
Ziqi ZhangSchool of Nursing, Anhui University of Chinese Medicine, Hefei, 230000, China.
Shuyan XingSchool of Basic Medical Sciences, Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
Jiyu WangDepartment of Thoracic Surgery, The First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
Yang YangDepartment of Emergency, The First Hospital of Shanxi Medical University, No.85 Jiefang South Road, Taiyuan, 030001, Shanxi, China. yangyang_880914@163.com.
Huiyi LvDepartment of Rehabilitation, The First Hospital of Shanxi Medical University, No.85 Jiefang South Road, Taiyuan, 030001, Shanxi, China. Lvhuiyi740913@126.com.

Funding

Department of Education of Shanxi Province 20250410Shanxi Provincial Department of Science and Technology 202303021212318
6 · The paper itself

Abstract

objectiveInvestigation of the Prevalence of Cognitive Impairment and Its Influencing Factors in Patients with Different Cancer Types.

methodsA convenience sample of 1,269 cancer patients who were diagnosed and treated at our hospital from May 2024 to December 2024 was enrolled in the study. Assessments included the General Information Questionnaire, the Montreal Cognitive Assessment (MoCA), the Cancer Fatigue Scale (CFS), the Hospital Anxiety and Depression Scale (HADS), the Athens Insomnia Scale (AIS), and the Visual Analog Scale (VAS). Binary logistic regression analysis was used to identify factors influencing cognitive impairment among patients with different cancer types.

resultsThe average MoCA score for the 1,269 cancer patients was 22.71 ± 5.23, and 65.40% of the patients exhibited cognitive impairment. The binary logistic regression analysis indicated that clinical diagnosis, pain intensity, and the presence of depression were significant factors influencing Cognitive impairment (P < 0.05).

conclusionCognitive impairment is highly prevalent in cancer patients, with significant variations observed across different cancer types. Pain and depression are key factors associated with this condition. The findings of this study suggest that in clinical care, routine cognitive screening should be conducted for patients with moderate to severe pain or depressive symptoms to facilitate the early identification of high-risk populations, thereby providing an evidence-based foundation for the delivery of targeted interventions and the improvement of patients' quality of life in the future.

Indexed as

Cognitive DysfunctionNeoplasmsAdultAgedCross-Sectional StudiesDepressionFatigueFemaleHumansLogistic ModelsMaleMiddle AgedPainPrevalenceRisk FactorsSurveys and QuestionnairesCancerCognitive impairmentDepressionInfluencing factorsPain

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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.