Evidence map›Paper›PMID 24825577›Full record

ArticleBJU international2015

Baseline characteristics predict risk of progression and response to combined medical therapy for benign prostatic hyperplasia (BPH).

Michael A Kozminski, John T Wei, Jason Nelson, David M Kent

Open access · greenAbstract read
In one paragraph

Article in BJU international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 8 pooled it
2.5field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 8 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  14. Comparison ofFrontiers in urology · 2025
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  18. A Novel Nomogram Based on Initial Features to Predict BPH Progression.International journal of environmental research and public health · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Michael A KozminskiDepartment of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
John T Wei
Jason Nelson
David M Kent
University of Michigan–Ann Arbor · USTufts Medical Center · USTufts University · US

Funding

Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
Value of Personalized Risk InformationU01NS086294 · NINDS · TUFTS MEDICAL CENTER · PI KENT, DAVID M, NEUMANN, PETER · 2013 to 2017
$2.6M
NCATS NIH HHS 1U01 TR001064NCATS NIH HHS UL1 TR001064NIAAA NIH HHS U01 AA022802NINDS NIH HHS U01 NS086294
6 · The paper itself

Abstract

objectiveTo better risk stratify patients, using baseline characteristics, to help optimise decision-making for men with moderate-to-severe lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia (BPH) through a secondary analysis of the Medical Therapy of Prostatic Symptoms (MTOPS) trial. PATIENTS AND

methodsAfter review of the literature, we identified potential baseline risk factors for BPH progression. Using bivariate tests in a secondary analysis of MTOPS data, we determined which variables retained prognostic significance. We then used these factors in Cox proportional hazard modelling to: i) more comprehensively risk stratify the study population based on pre-treatment parameters and ii) to determine which risk strata stood to benefit most from medical intervention.

resultsIn all, 3047 men were followed in MTOPS for a mean of 4.5 years. We found varying risks of progression across quartiles. Baseline BPH Impact Index score, post-void residual urine volume, serum prostate-specific antigen (PSA) level, age, American Urological Association Symptom Index score, and maximum urinary flow rate were found to significantly correlate with overall BPH progression in multivariable analysis.

conclusionsUsing baseline factors permits estimation of individual patient risk for clinical progression and the benefits of medical therapy. A novel clinical decision tool based on these analyses will allow clinicians to weigh patient-specific benefits against possible risks of adverse effects for a given patient.

Indexed as

5-alpha Reductase InhibitorsAzasteroidsDisease ProgressionDrug Therapy, CombinationHumansMalePredictive Value of TestsPrognosisProstate-Specific AntigenProstatic HyperplasiaRisk FactorsTreatment OutcomeUrinary Retention5-alpha Reductase InhibitorsAzasteroidsProstate-Specific Antigenbenign prostatic hyperplasia (BPH)lower urinary tract symptoms (LUTS)risk factors

Identifiers

PMID24825577
PMCPMC4231026
OpenAlexW1491256997

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.