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Record W4415526840 · doi:10.2196/73317

Exclusive Effects of Moxibustion on Gut Microbiota: Protocol for a Focused Systematic Review and Meta-Analysis

2025· article· en· W4415526840 on OpenAlexvenueno aff
X. Zhang, Yueyue Guo, Qianli Zang

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)MoxibustionAlternative medicineBridging (networking)MicrobiomeGut microbiomeMEDLINE

Abstract

fetched live from OpenAlex

Background: The gut microbiota (GM) plays a critical role in systemic health, influencing immune, metabolic, and neurological functions. There is emerging evidence suggesting that moxibustion, a traditional thermal therapy, may modulate the GM to restore microbial homeostasis, yet its exclusive effects remain undifferentiated from those of combined therapies such as acupuncture. Previous meta-analyses lack mechanistic specificity, necessitating a focused evaluation of moxibustion's impact on microbial ecology. Objective: This systematic review and meta-analysis aims to quantify moxibustion-induced changes in GM diversity, taxonomic composition, and functional metabolites (eg, short-chain fatty acids). Methods: We will systematically search the PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang, and VIP databases from inception to December 31, 2024, using keywords such as "moxibustion," "gut microbiota," and "intestinal flora." Eligible preclinical (animal) and clinical (human) studies evaluating stand-alone moxibustion interventions on the GM will be included. Primary outcomes include microbial α diversity indexes (Shannon and Simpson) and relative abundance of key taxa (eg, Firmicutes and Bacteroidetes). Risk of bias will be assessed using the Systematic Review Center for Laboratory Animal Experimentation risk-of-bias tool for animal studies and the modified Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies criteria for human trials. Pooled effect estimates for continuous outcomes (eg, diversity indexes and taxa ratios) will be calculated using the ratio of means with 95% CIs. Statistical analyses will be conducted in RevMan (version 5.4) and R (metafor package), with data archived on Figshare for reproducibility. Results: As of March 2025, the literature search and screening have been completed, and 31 studies meeting the inclusion criteria have been identified. The comprehensive analysis is scheduled to be completed by October 2025, with results anticipated to be published in late 2025. On the basis of previous work, an anticipated result is that moxibustion may reduce pathogenic genera such as Ruminococcus while enhancing beneficial genera, effects that are expected to be associated with improved intestinal barrier integrity and anti-inflammatory responses. Conclusions: This protocol provides a rigorous framework to evaluate moxibustion's unique role in GM modulation, bridging traditional medicine with microbiome science. The results will inform optimized, nonpharmacological strategies for managing microbiome-associated chronic diseases and guide future research priorities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.048
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.053
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.077
Meta-epidemiology (narrow)0.0070.004
Meta-epidemiology (broad)0.0270.035
Bibliometrics0.0120.010
Science and technology studies0.0030.003
Scholarly communication0.0070.006
Open science0.0040.005
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0530.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.161
GPT teacher head0.558
Teacher spread0.397 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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