Evidence map›Paper›PMID 40100466›Full record

SynthesisSleep & breathing = Schlaf & Atmung2025

Comparative efficacy of interventions for insomnia in cancer patients: a systematic review and network meta-analysis.

Xuehong Sun, Yushu Zhang, Zhi Lu, Zhilong Shu, Kui Zhang, Yijiu Chen

Abstract readSystematic ReviewComparative StudyNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Sleep & breathing = Schlaf & Atmung, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Xuehong SunDepartment of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Yushu ZhangDepartment of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Zhi LuDepartment of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Zhilong ShuDepartment of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Kui ZhangDepartment of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China. cheungque@163.com.ORCID 0000-0003-2769-1940
Yijiu ChenDepartment of Forensic Pathology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China. newman-zhk@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer-related insomnia demonstrates twice the prevalence observed in the general population, with significant implications for disease progression. This network meta-analysis systematically compares the therapeutic efficacy of diverse interventions for managing insomnia in oncological populations.

methodsWe systematically queried four biomedical databases (PubMed, Embase, Medbase, and Web of Science) for eligible studies assessing insomnia interventions in cancer patients. Primary outcomes encompassed standardized metrics: Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), sleep onset latency (SOL), wake after sleep onset (WASO), total sleep time (TST), and sleep efficiency (SE). A frequentist approach with random-effects model was employed for comparative effectiveness analysis.

resultsThe analysis incorporated 21 studies with sample sizes ranging from 16 to 255 participants. Comparative evaluation against standard care revealed that both cognitive behavioral therapy for insomnia (CBT-I) (MD = - 3.04, 95%CI[- 4.49,-1.59]) and electroacupuncture (MD = - 3.80, 95%CI[- 6.50,-1.09]) produced clinically meaningful reductions in ISI scores, while CBT-I (MD = 2.71%, 95%CI[0.89,4.53]) and Tai Chi (MD = 5.26%, 95%CI[0.41,10.11]) exhibited statistically significant improvements in sleep efficiency metrics.

conclusionsCBT-I emerges as an evidence-based intervention for ameliorating insomnia severity and optimizing sleep efficiency in cancer patients. Complementary modalities including electroacupuncture and Tai Chi present viable alternatives. Methodological limitations necessitate future rigorously designed trials to strengthen clinical recommendations.

Indexed as

Cognitive Behavioral TherapyNeoplasmsSleep Initiation and Maintenance DisordersHumansTreatment OutcomeCBT-IElectroacupunctureInsomniaNetwork meta-analysisTai Chi

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.