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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".