Evidence map›Paper›PMID 41491170›Full record

ArticleScientific reports2026

Exploring the influencing factors of subjective cognitive function in patients with advanced cancer pain: a cross-sectional study utilizing latent profile analysis.

Hongyu Zhu, Xi Ke, Yunzhen Pen, Meiqun Lin, Huiqun Chen, Rong Qi, Huiyu Luo

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Hongyu ZhuFujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420, Fuma Road, Fuzhou, China.
Xi KeFujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420, Fuma Road, Fuzhou, China.
Yunzhen PenFujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420, Fuma Road, Fuzhou, China.
Meiqun LinThe School of Nursing, Fujian Medical University, Fuzhou, Fujian, China.
Huiqun ChenFujian Vocational College of Bioengineering, Fuzhou, Fujian, China.
Rong QiFujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420, Fuma Road, Fuzhou, China. 13720834628@163.com.
Huiyu LuoFujian Cancer Hospital & Fujian Medical University Cancer Hospital, No. 420, Fuma Road, Fuzhou, China. fjsluohuiyu@163.com.

Funding

Natural Science Foundation of Fujian Province of China 2023J011241
6 · The paper itself

Abstract

Subjective cognitive function in patients with advanced cancer pain is frequently overlooked in clinical practice. The study employs latent profile analysis to categorize subjective cognitive function subtypes in patients suffering from advanced cancer pain and examines the factors influencing these subtypes. A survey involving 220 patients with advanced cancer pain utilized a general information questionnaire, the functional assessment of cancer therapy-cognitive (FACT-Cog) scale, the numerical rating scale (NRS), the patient health questionnaire-9 (PHQ-9), and the generalized anxiety disorder-7 (GAD-7). Latent profile analysis was applied to classify subjective cognitive function, and multiple logistic regression analysis was used to determine the influencing factors for each category. Out of 220 questionnaires, all were valid. The average FACT-Cog score was 90.20 (SD = 22.69), with 24.5% of patients exhibiting cognitive impairment. The PHQ-9 score averaged 9.21 (SD = 6.17), and the GAD-7 score averaged 8.02 (SD = 4.16). Latent profile analysis identified three subjective cognitive function groups: High subjective cognitive function group (7 patients, 3.2%), medium subjective cognitive function group (162 patients, 73.6%), and low subjective cognitive function group (51 patients, 23.2%). Depression, anxiety, age, education level, average 24-hour NRS score, and breakthrough pain frequency were identified as significant influencing factors across the subjective cognitive function profiles. The subjective cognitive function of patients with advanced cancer pain demonstrates distinct classification characteristics, primarily influenced by depression, anxiety, age, education level, pain scores, and the frequency of breakthrough pain. When devising cancer pain management strategies, it is crucial to develop targeted subjective cognitive interventions tailored to the specific profiles of these patients.

Indexed as

Cancer PainCognitionCognitive DysfunctionNeoplasmsAdultAgedAnxietyCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedPain MeasurementSurveys and QuestionnairesAnxietyCancer painDepressionLatent profile analysisSubjective cognitive function

Identifiers

PMID41491170
PMCPMC12769483

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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.