Therapeutic Potential of Banana Pseudo- Stem Extracts: A Systematic Review and Meta-Analysis of Antioxidant, Anti- Inflammatory, Antimicrobial, and Anti- Urolithiatic Properties with Risk of Bias Assessment
Bibliographic record
Abstract
Banana pseudo-stem, a farming waste, may contain bioactive compounds with therapeutic properties. Due to its antioxidant, anti-inflammatory, antibacterial, and anti-urolithiatic properties, banana pseudo-stem extracts may help manage chronic diseases, infections, and kidney stones, according to recent research A complete synthesis of research must evaluate banana pseudo-stem extract efficacy and safety. Objectives: This systematic review and meta-analysis analyse banana pseudo-stem extracts' antioxidant, anti-inflammatory, antibacterial, and anti-urolithiatic properties. A risk of bias evaluation will evaluate the evidence's quality and reliability. Method: PubMed, Scopus, and Web of Science for banana pseudo-stem extract medical studies. Randomised controlled trials, cohort studies, case-control studies, and preclinical animal studies qualify. Two independent reviewers will examine publications, extract data, and assess bias using the Cochrane Risk of Bias tool for RCTs and the Newcastle-Ottawa Scale for observational studies. Pooled effect sizes will be derived from quantitative data using random-effects meta-analysis. Subgroup analyses will use extraction, dosage, and study population. We will use the I² statistic to quantify heterogeneity and conduct sensitivity experiments as appropriate. Result: Antioxidant capacity, inflammatory marker lowering, antibacterial capabilities, and anti-urolithiatic potential (e.g., urinary oxalate and crystal count) are key outcomes. Secondary outcomes of banana pseudo-stem extract treatment include safety, adverse events, and quality of life. Conclusion: This review will synthesise banana pseudo-stem extracts' therapeutic effects for future study and clinical use. Research will promote banana pseudo-stem as a plant-based therapy and identify gaps. Keywords: Banana pseudo-stem, Therapeutic potential, Antioxidant activity, Anti-inflammatory effects, Antimicrobial properties, Anti-urolithiatic effects, Bioactive compounds, Herbal medicine, Chronic disease management, Sustainable healthcare, Traditional remedies
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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 | 0.024 | 0.052 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.026 | 0.050 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".