ArticleChinese medicine2021
Assessment of the reporting quality of randomised controlled trials of massage.
Article in Chinese medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Suboptimal reporting of randomized controlled trials on non-pharmacological therapies in Chinese medicine.Frontiers of medicine · 2024Pooled it
- Comparative effectiveness of Tuina therapy versus manual physical therapy for knee osteoarthritis: a randomized controlled trial.BMC complementary medicine and therapies · 2025Trial
- Two decades of surgical randomized controlled trials: worldwide trends in volume and methodological quality.The British journal of surgery · 2023Review
- Reporting quality of randomized controlled trials of angina pectoris with integrated traditional Chinese and western medicine interventions: a cross-sectional study.BMC medical research methodology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
objectiveTo assess the reporting quality of randomised controlled trials (RCTs) of massage, particularly whether necessary elements related to massage interventions were adequately reported.
methodsA total of 8 electronic databases were systematically searched for massage RCTs published in English and Chinese from the date of their inception to June 22, 2020. Quality assessment was performed using three instruments, namely the CONSORT (Consolidated Standards of Reporting Trials) 2010 Checklist (37 items), the CONSORT Extension for NPT (Nonpharmacologic Treatments) 2017 checklist (18 items), and a self-designed massage-specific checklist (16 items) which included massage rationale, intervention and control group details. Descriptive statistics were additionally used to analyse the baseline characteristics of included trials.
resultsA total of 2,447 massage RCTs were identified, of which most (96.8%) were distributed in China. For the completeness of CONSORT, NPT Extension, and massage-specific checklists, the average reporting percentages were 50%, 10% and 45%, respectively. Of 68 assessed items in total (exclusion of 3 repeated items on intervention), 42 were poorly presented, including 18 CONSORT items, 15 NPT items, and 9 massage-specific items. Although the overall quality of reporting showed slightly improvement in articles published after 2010, the international (English) journals presented a higher score of the CONSORT and NPT items, while the Chinese journals were associated with the increased score of massage-specific items.
conclusionThe quality of reporting of published massage RCTs is variable and in need of improvement. Reporting guideline "CONSORT extension for massage" should be developed.
Indexed as
Identifiers
What OpenQuestion holds
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.