Is There a Link Between Non-Alcoholic Fatty Liver Disease and Benign Prostate Hyperplasia/Lower Urinary Tract Symptoms: A Systematic Review and a Meta-Analysis
Bibliographic record
Abstract
Background:Prostatic growth has been thought to be the systemic manifestation of some metabolic derangements in recent studies. Nonalcoholic fatty liver disease (NAFLD), a hepatic manifestation of the metabolic syndrome, might be closely linked with benign prostate hyperplasia and lower urinary tract symptoms (BPH/LUTS). Several studies have been conducted regarding NAFLD and BPH/LUTS association. However, the results are yet to reach a clear conclusion. We aimed to gather these studies' results to make a more robust analysis through a systematic review and meta-analysis. Methods:We systematically searched Pubmed-Medline, Cochrane Library, and Science Direct databases. We excluded all experimental studies, case reports, and reviews. Our search was restricted to the English language. We used standard mean difference for BPH/LUTS-related parameters. We identified the study qualities by the Newcastle–Ottawa Scale. We conducted a publication bias analysis. Results:A total of six studies involving 7089 participants fulfilled the inclusion criteria. Our meta-analysis revealed that patients with NAFLD have larger prostate volume [0.553 (0.303–0.802), P ˂ 0.001; Q = 97.41; P-value for heterogeneity = P < 0.0001; I 2 = 94.86%]. However, the summary effect size of the other parameters of BPH/LUTS (prostate-specific antigen and international prostate symptom score) computed in our meta-analysis did not yield significant results. Conclusions:The prostate size was larger in patients with NAFLD, but the meta-analysis did not reach a significant result for LUTS among the studies. These results should be tested with well-designed studies, in particular, to clarify the association of LUTS with NAFLD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".