ReviewIntegrative medicine research2025
Acupuncture for cancer-related insomnia: An evidence mapping.
Review in Integrative medicine research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acupuncture shows promise in treating cancer-related insomnia (CRI); however, the evidence level for its effectiveness remains low. This study systematically examined research quality and used evidence mapping (EM) to map and present evidence information to identify gaps and inform future research. Methods: Two reviewers searched eight databases from inception to May 2024, screened eligible randomized controlled trials (RCTs), and extracted key characteristics from included studies. The quality of studies was assessed using the Cochrane Risk of Bias 2.0 (RoB 2.0) tool, and key characteristics visualized EM. Finally, Acupoint data were systematically summarized. Results: 37 RCTs were included in this study. RoB 2.0 results showed only three studies at "low risk," while most had notable quality issues. EM indicated that common comparisons involved manual acupuncture (MA), alone or combined, versus sleep medications. Measures involved six assessment tools, with Pittsburgh Sleep Quality Index (PSQI) most frequently used. Meanwhile, EM revealed considerable uncertainty regarding acupuncture for CRI efficacy. Acupoint analysis identified Yintang (GV24+), Shenting (GV24), Baihui (GV20), Sanyinjiao (SP6), Neiguan (PC6), and Shenmen (HT7) as core acupoints. Analysis identified five key gaps: study reliability, participant selection, placebo effect, outcome measurement, and acupoint selection. Conclusions: Research on acupuncture for CRI has various gaps, and more high-quality evidence is still needed. This study comprehensively mapped the current evidence on acupuncture for CRI and identified five key gaps, providing directions and references for future research. Protocol registration: INPLASY, INPLASY202460052.
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Registered trials
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