ArticlePalliative & supportive care2020
What makes one respond to acupuncture for insomnia? Perspectives of cancer survivors.
Article in Palliative & supportive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled 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.
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
5 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Factors influencing the utilization of Traditional Chinese Medicine in cancer treatment: a qualitative meta-synthesis of patient and healthcare professional perspectives.Frontiers in medicine · 2025Pooled it
- Association of Acupuncture and Auricular Acupressure With the Improvement of Sleep Disturbances in Cancer Survivors: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2022Pooled it
- Non-pharmacological Treatment for Elderly Individuals With Insomnia: A Systematic Review and Network Meta-Analysis.Frontiers in psychiatry · 2020Pooled it
- Visualization Analysis of Acupuncture for the Treatment of Insomnia: A Scoping Literature Review Based on an International Database.Medical acupuncture · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveLike any therapy, acupuncture is effective for some patients, while not helpful for others. Understanding from a patients' perspective what makes one respond or not to acupuncture can help guide further intervention development. This study aimed to identify factors that influence the perception of acupuncture's therapeutic effect among cancer survivors with insomnia.
methodWe conducted post-treatment semi-structured interviews with cancer survivors who were randomized to the acupuncture group in a clinical trial for the treatment of insomnia. Survivors were categorized into Responders and Non-Responders to acupuncture treatment based on the change in the Insomnia Severity Index with a reduction of eight points or greater as the cut-off for the response. An integrated approach to data analysis was utilized by merging an a priori set of codes derived from the key ideas and a set of codes that emerged from the data through a grounded theory approach. Codes were examined for themes and patterns.
resultsAmong 28 cancer survivors interviewed, 18 (64%) were classified as Responders. Participants perceived the ability to respond to acupuncture as dependent on treatment that effectively: (1) alleviated co-morbidities contributing to insomnia, (2) supported sleep hygiene practices, and (3) provided a durable therapeutic effect. Acupuncture treatment that did not address one of these themes often detracted from positive treatment outcomes and diminished perceived benefit from acupuncture. SIGNIFICANCE OF
resultsWe identified patient-perceived contributors to response to acupuncture, such as co-morbid medical conditions, adequate support for sleep hygiene practices, and temporary therapeutic relief. Addressing these factors may improve the overall effectiveness of acupuncture for insomnia.
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Registered trials
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.