Evidence map›Paper›PMID 42719052›Full record

ArticleFrontiers in oncology2026

Effects of embedded micro-mindfulness on psychological symptoms in patients with advanced cancer receiving palliative care: a prospective controlled study.

Qin Zhang, Qianer Li, Aiping Deng, Dan Yang, Dan Jia

Abstract read
In one paragraph

Article in Frontiers in oncology, 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Qin ZhangOutpatient Department, West China Hospital, Sichuan University, Chengdu, China.
Qianer LiOutpatient Department, West China Hospital, Sichuan University, Chengdu, China.
Aiping DengOutpatient Department, West China Hospital, Sichuan University, Chengdu, China.
Dan YangLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Dan JiaOutpatient Department, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate changes in psychological distress, anxiety and depressive symptoms, sleep problems, and pain intensity associated with participation in an embedded micro-mindfulness program among patients with advanced cancer receiving palliative care, and to explore factors associated with psychological symptom response. Methods: This single-center, prospective, non-randomized observational study included 243 patients with advanced cancer receiving palliative care at West China Hospital. Patients who participated in the departmental micro-mindfulness program in addition to usual care comprised the MM group (n = 121), whereas those who received usual care without participating in the program comprised the UC group (n = 122). Outcomes were assessed at baseline and weekly for 4 weeks. Primary outcomes were anxiety and depressive symptoms assessed using the GAD-7 and PHQ-9, respectively. Secondary outcomes included psychological distress assessed using the Distress Thermometer (DT), sleep problems assessed using the two-item Insomnia Severity Index (ISI-2), and pain intensity assessed using the Numeric Rating Scale (NRS). Results: Baseline characteristics were comparable between groups. Significant group × time interactions were observed for GAD-7 (P = 0.001), PHQ-9 (P = 0.002), DT (P < 0.001), and ISI-2 (P < 0.001), with greater reductions over time observed in the MM group. The group × time interaction for NRS was not significant (P = 0.371). In the MM group, 73 patients (60.3%) achieved psychological symptom response. Conclusion: Embedded micro-mindfulness was associated with greater improvements in anxiety, depressive symptoms, psychological distress, and sleep problems, but not pain intensity. These findings support further evaluation of this brief program as a supportive-care strategy for patients with advanced cancer receiving palliative care.

Indexed as

advanced canceranxiety and depressionmicro-mindfulnesspalliative carepsychological symptoms

Identifiers

PMID42719052
PMCPMC13553871

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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.