Evidence map›Paper›PMID 42223854›Full record

ArticleJournal of cancer survivorship : research and practice2026

Comparative efficacy of e-health interventions on symptom burden in patients with cancer: A network meta-analysis of randomized controlled trials.

Liyang Duan, Shu Zhang, Linna Li, Xiaolin Hu

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Article in Journal of cancer survivorship : research and practice, 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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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

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5 · Who and what money

Authors and funding

4 authors.

Liyang Duan *West China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shu Zhang *West China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Linna LiWest China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaolin HuWest China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, China. huxiaolin@wchscu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the efficacy of different delivery formats of e-health interventions in improving symptom burden in patients with cancer.

methodsA network meta-analysis of randomized controlled trials was conducted. Six databases were searched from inception to December 30, 2025. Two reviewers independently screened the studies and extracted the data. The quality of included studies was evaluated via the Cochrane risk of bias tool RoB 2. A pairwise meta-analysis and a network meta-analysis were performed sequentially to determine the efficacy of different delivery formats of e-health interventions in improving symptom burden in patients with cancer.

resultsA total of 23 studies were included, covering six different delivery formats of e-health interventions. The app-based e-health interventions significantly improved symptom burden in patients with cancer relative to video-based e-health interventions and the control group. In terms of the network ranking results, app-based e-health interventions, website-based e-health interventions, and telephone-based e-health interventions ranked as the top three in improving symptom burden in patients with cancer.

conclusionsThis NMA revealed that app-based, website-based, and telephone-based e-health interventions ranked among the top three in terms of efficacy for improving symptom burden in patients with cancer. IMPLICATIONS FOR CANCER SURVIVORS: These findings highlight the potential of e-health interventions in cancer symptom management and suggest that these promising interventions can be applied in clinical practice in the future.

Indexed as

CancerE-healthNetwork meta-analysisSymptom burdenSystematic review

Identifiers

PMID42223854

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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.