The impact of tuberculosis-induced hyperglycemia on pulmonary microbiota and airway mucus secretion in individuals not previously diabetic: A systematic review and meta-analysis protocol
Bibliographic record
Abstract
The lung environment harbours a community of microbes that play a significant role in health and disease, including innate protection against pathogenic microorganisms. Infection with Mycobacterium tuberculosis, psychological stress associated with the tuberculosis (TB) disease, and the metabolites from the rifampicin treatment regimen have been reported to induce hyperglycemia and consequently type 2 diabetes mellitus (T2DM) in individuals not previously diabetic. The high glucose concentration is proposed to alter the composition of the lung microbiota and airway homeostasis, exerting an influence on TB disease and treatment outcomes. In this systematic review, we propose to synthesize literature on TB-induced hyperglycemia and its impact on lung microbiota and secretion of airway mucus in individuals not previously diabetic. A systematic search will be carried out on PubMed, EMBASE, MEDLINE, PROQUEST, Cochrane, SCOPUS, and manually on Google Scholar and references of relevant articles to identify other studies. We will review published articles that include studies on TB-induced hyperglycemia, pulmonary microbiome, mucin secretion, and (or) airway surface liquid upon TB diagnosis and during treatment. The quality of the study articles will be assessed using the modified Newcastle-Ottawa Scale (NOS). Meta-analysis will be conducted using random effect model for heterogeneity to pool estimates on microbial diversity. Egger's test will be performed to explore any selective reporting bias. The findings of the systematic review and the meta-analysis will be reported as per the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocol guidelines. This protocol was developed and uploaded onto the International Prospective Register of Systematic Reviews (PROSPERO) database, registration number: CRD42024482248.
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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 | 0.045 | 0.059 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.025 | 0.033 |
| Bibliometrics | 0.015 | 0.011 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.003 |
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".