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α‐blockers, antibiotics and anti‐inflammatories have a role in the management of chronic prostatitis/chronic pelvic pain syndrome

2012· review· en· W2114827666 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Urology · 2012
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineProstatitisChronic prostatitis/chronic pelvic pain syndromeAntibioticsPlaceboRandomized controlled trialChronic bacterial prostatitisChronic painPelvic painInternal medicineClinical trialIntensive care medicinePhysical therapyProstateSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

UNLABELLED: Study Type - Therapy (systematic review) Level of Evidence 1a. What's known on the subject? and What does the study add? Individual clinical trials evaluating antibiotics, anti-inflammatories and α-blockers for the treatment of chronic prostatitis/chronic pelvic pain syndrome have shown only modest or even no benefits for patients compared with placebo, yet we continue to use these agents in selected patients with some success in clinical practice. This network meta-analysis of current evidence from all available randomized placebo-controlled trials with similar inclusion criteria and outcome measures shows that these '3-As' of chronic prostatitis/chronic pelvic pain syndrome treatment (antibiotics, anti-inflammatories and α-blockers) do offer benefits to some patients, particularly if we use them strategically in selected individuals. OBJECTIVES: To provide an updated network meta-analysis mapping α-blockers, antibiotics and anti-inflammatories (the 3-As) in chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS). • To use the results of this meta-analysis to comment on the role of the 3-As in clinical practice. PATIENTS AND METHODS: We updated a previous review including only randomized controlled studies employing the National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) as one of the outcomes to compare treatment effects in CP/CPPS patients. • A longitudinal mixed regression model (network meta-analysis) was applied to indirectly assess multiple treatment comparisons (i.e. α-blockers, antibiotics, anti-inflammatory/immune modulation therapies, α-blockers plus antibiotics, and placebo). RESULTS: Nineteen studies (1669 subjects) were eligible for analysis. • α-blockers, antibiotics and anti-inflammatory/immune modulation therapies were associated with significant improvement in symptoms when compared with placebo, with mean differences of total CPSI of -10.8 (95% CI -13.2 to -8.3; P < 0.001), -9.7 (95% CI -14.2 to -5.3; P < 0.001) and -1.7 (95% CI -3.2 to -0.2; P= 0.032) respectively, while α-blockers plus antibiotics resulted in the greatest CPSI difference (-13.6, 95% CI -16.7 to -10.6; P < 0.001). • With respect to responder analysis compared with placebo, anti-inflammatories showed the greatest response rates (risk ratio 1.7, 95% CI 1.4-2.1; P < 0.001) followed by α-blockers (risk ratio 1.4, 95% CI 1.1-1.8; P= 0.013) and antibiotics (risk ratio 1.2, 95% CI 0.7-1.9; P= 0.527). CONCLUSIONS: α-blockers, antibiotics and/or anti-inflammatory/immune modulation therapy appear to be beneficial for some patients with CP/CPPS. • The magnitude of effect and the disconnect between mean CPSI decrease and response rates compared with placebo suggest that directed multimodal therapy, rather than mono-therapy, with these agents should be considered for optimal management of CP/CPPS.

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.

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.944
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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