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Record W4416257187 · doi:10.21037/tau-2025-421

Histological prostatitis and its influence on benign prostatic hyperplasia: a systematic review and meta-analysis

2025· article· en· W4416257187 on OpenAlexaboutno aff
Yichao Wu, Yaoyao Yao, Yonghong Fu, X. D. Yu, Lianying Song, Yaosheng Zhang

Bibliographic record

VenueTranslational Andrology and Urology · 2025
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
Fundersnot available
KeywordsProstatitisPathogenesisProstate diseaseProstateClinical significance

Abstract

fetched live from OpenAlex

Background: Inflammation is considered one of the potential etiological factors in the development and progression of benign prostatic hyperplasia (BPH). However, whether inflammation plays a critical role in the onset or progression of BPH remains controversial. Therefore, we conducted this systematic review and meta-analysis to comprehensively evaluate the impact of histological prostatitis on BPH. Methods: We systematically searched cohort and cross-sectional studies published up to April 2025 in PubMed, the Cochrane Library, Embase, and Web of Science. The quality of the included cohort studies was assessed using the Newcastle-Ottawa Scale (NOS), and cross-sectional studies was evaluated with the Joanna Briggs Institute (JBI) checklist. Data were extracted on prostate volume (PV), International Prostate Symptom Score (IPSS), prostate-specific antigen (PSA), maximum urinary flow rate (Qmax), and residual urine volume (RUV). The effect sizes were pooled using the weighted mean difference (WMD) with corresponding 95% confidence intervals (CIs). Results: A total of 11 studies were included, comprising 6 cohort studies and 5 cross-sectional studies, with a combined sample of 3,135 patients. In cross-sectional studies, compared with patients with BPH alone, those with BPH combined with histological prostatitis had an increase of 1.50 ng/mL in PSA level (95% CI: 0.09 to 2.91; I2=91%; P<0.05), an increase of 3.92 points in IPSS score (95% CI: 2.20 to 5.64; I2=28%; P<0.00001), and an increase of 13.78 mL in PV (95% CI: 10.00 to 17.56; I2=0%; P<0.00001). Qmax decreased by 1.56 mL/s (95% CI: −3.44 to 0.32; I2=80%; P=0.10), with no statistically significant difference. In cohort studies, compared with patients with BPH alone, those with BPH combined with histological prostatitis showed an increase of 1.19 ng/mL in PSA level (95% CI: 0.37 to 2.02; I2=28%; P<0.05), an increase of 10.24 mL in PV (95% CI: 0.79 to 19.69; I2=89%; P<0.05), and a decrease of 2.42 mL/s in Qmax (95% CI: −3.44 to −1.40; I2=65%; P<0.00001). Changes in IPSS (95% CI: −1.33 to 6.22; I2=97%; P=0.20) and RUV (95% CI: −1.66 to 18.07; I2=39%; P=0.10) were not statistically significant. Conclusions: Histological prostatitis may play a promoting role in the progression of BPH. Compared to patients with BPH alone, those with coexisting histological prostatitis exhibited higher PSA levels, higher IPSS, larger PV, and lower Qmax. Therefore, the clinical significance of histological prostatitis should not be overlooked, and it ought to be considered as an important factor in the clinical management of urological patients. Future large-scale prospective studies are warranted to clarify its role in the pathogenesis of BPH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.330
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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