Evidence map›Paper›PMID 41126903›Full record

ArticleIntegrative medicine research2026

The impact of shared decision-making on patient-reported outcomes in Traditional Chinese Medicine in Shanghai, China: a cross-sectional study using structural equation modeling.

Fuming Li, Shimeng Liu, Yue Teng, Liu Liu, Juntao Yan, Yingyao Chen, Yan Wei

Abstract read
In one paragraph

Article in Integrative medicine research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

7 authors.

Fuming LiSchool of Public Health, Fudan University, Shanghai, China.
Shimeng LiuSchool of Public Health, Fudan University, Shanghai, China.
Yue TengYueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Liu LiuSchool of Public Health, Fudan University, Shanghai, China.
Juntao YanSchool of Public Health, Fudan University, Shanghai, China.
Yingyao ChenSchool of Public Health, Fudan University, Shanghai, China.
Yan WeiSchool of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Shared decision-making (SDM) is increasingly recognized as a preferred model for cancer care, yet its relationship with patient-reported outcomes remains unclear in the context of Traditional Chinese Medicine (TCM). This study examined the associations of SDM with decision-making satisfaction, treatment decision usefulness, and health-related quality of life (HRQoL) in TCM. Methods: This multicenter cross-sectional study was conducted among lung cancer patients treated with TCM anti-cancer injections in Shanghai, China. Participants completed questionnaires assessing SDM, decision-making satisfaction, treatment decision usefulness, and HRQoL. Structural equation modeling was conducted to examine the hypothetical model. Results: A total of 347 participants (46.1% female, 64.8 ± 8.7 years) were included. Using the EQ-5D-5 L index value to represent HRQoL, SDM not only directly positively affected both decision-making satisfaction ( Conclusions: SDM plays a positive role in improving decision-making satisfaction, treatment decision usefulness, and HRQoL among patients receiving TCM. These findings indicate its intrinsic value in patient-provider interactions and its associated benefits, potentially fostering the practice of SDM in TCM.

Indexed as

Lung cancerPatient-reported outcomesShared decision-makingStructural equation modelTraditional chinese medicine

Identifiers

PMID41126903
PMCPMC12538429

What OpenQuestion holds

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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.