Efficacy and safety of microbiota-targeted therapeutics in autoimmune and inflammatory rheumatic diseases: protocol for a systematic review and meta-analysis of randomised controlled trials
Bibliographic record
Abstract
INTRODUCTION: An abnormal composition of gut bacteria along with alterations in microbial metabolites and reduced gut barrier integrity has been associated with the pathogenesis of chronic autoimmune and inflammatory rheumatic diseases (AIRDs). The aim of the systematic review, for which this protocol is presented, is to evaluate the clinical benefits and potential harms of therapies targeting the intestinal microbiota and/or gut barrier function in AIRDs to inform clinical practice and future research. METHODS AND ANALYSIS: This protocol used the reporting guidelines from the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocol. We will search Embase (Ovid), Medline (Ovid) and the Cochrane Library (Central) for reports of randomised controlled trials of patients diagnosed with an AIRD. Eligible interventions are therapies targeting the intestinal microbiota and/or gut barrier function including probiotics, synbiotics, faecal microbiota transplantation, live biotherapeutic products and antibiotics with the intent to modify disease activity in AIRDs. The primary outcome of the evidence synthesis will be based on the primary endpoint of each trial. Secondary efficacy outcomes will be evaluated and selected from the existing core domain sets of the individual diseases and include the following domains: disease control, patient global assessment, physician global assessment, health-related quality of life, fatigue, pain and inflammation. Harms will include the total number of withdrawals, withdrawals due to adverse events, number of patients with serious adverse events, disease flares and deaths. A meta-analysis will be performed for each outcome domain separately. Depending on the type of outcome, the quantitative synthesis will encompass both ORs and standardised mean differences with corresponding 95% CIs. ETHICS AND DISSEMINATION: No ethics approval will be needed for this systematic review. We will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to disseminate the study results through a peer-reviewed publication. PROSPERO REGISTRATION NUMBER: CRD42025644244.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.091 | 0.154 |
| Meta-epidemiology (narrow) | 0.009 | 0.006 |
| Meta-epidemiology (broad) | 0.030 | 0.037 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.052 | 0.007 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".