Evidence map›Paper›PMID 42445914›Full record

ArticleFrontiers in public health2026

Empirical study on psychosocial factors in liver cancer treatment: implications for medical student education in shared decision-making.

Minling Cao, Ming Lin, Yanmei Deng, Junmin Jiang

Abstract read
In one paragraph

Article in Frontiers in public health, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Minling CaoDepartment of Hepatology, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ming LinDepartment of Hepatology, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yanmei DengDepartment of Hepatology, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Junmin JiangDepartment of Hepatology, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the impact of psychosocial factors on hepatocellular carcinoma (HCC) treatment decisions, guideline adherence, and patient survival, and to derive empirical insights for shared decision-making (SDM) training in medical education. Methods: In this single-center retrospective cohort study, we analyzed data from 1,928 patients with primary HCC. We collected baseline characteristics, psychosocial factors (payment method, psychological anxiety), treatment choices, and overall survival. Guideline adherence was determined based on the BCLC staging system. Results: Payment method and psychological anxiety were independent predictors of both treatment selection and guideline adherence ( Conclusion: Psychosocial factors are significant drivers of deviation from clinical guidelines in HCC care, creating a complex relationship with survival outcomes. The paradoxical survival benefit observed in non-adherent BCLC-B patients underscores the limitations of a one-size-fits-all guideline approach and highlights the necessity for individualized, patient-centered care. These findings provide a strong empirical foundation for integrating SDM and psychosocial assessment into medical curricula.

Indexed as

Carcinoma, HepatocellularDecision Making, SharedEducation, MedicalLiver NeoplasmsStudents, MedicalAdultAgedAnxietyFemaleGuideline AdherenceHumansMaleMiddle AgedRetrospective Studiesguideline adherencehepatocellular carcinomapsychosocial factorsshared decision-makingtreatment decision-making

Identifiers

PMID42445914
PMCPMC13357611

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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.