Evidence map›Paper›PMID 31168725›Full record

ReviewCurrent urology reports2019

BPH: Why Do Patients Fail Medical Therapy?

Zeynep G Gul, Steven A Kaplan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Analysis of Gene Polymorphisms in Benign Prostate Hyperplasia Patients Receiving Combination Therapy of Alpha Blocker (a-Blocker) and 5-Alpha Reductase Inhibitor (5-ARI).Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025
    Article
  9. Machine Learning to Predict Prostate Artery Embolization Outcomes.Cardiovascular and interventional radiology · 2024
    Article
  10. Review
  11. Article
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

2 authors.

Zeynep G GulDepartment of Urology, Icahn School of medicine at Mount Sinai, 5 East 98th Street, 6th floor, New York, NY, 10029-6574, USA.
Steven A KaplanDepartment of Urology, Icahn School of medicine at Mount Sinai, 5 East 98th Street, 6th floor, New York, NY, 10029-6574, USA. steven.kaplan@mountsinai.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this article, we review why patients may fail medical therapy for benign prostatic hyperplasia (BPH) and by doing so, gain a better understanding of the disease process and how to optimize the care of these patients. RECENT

findingsA growing body of literature has attempted to better characterize the various mechanisms by which patients develop BPH as well as identify predictors of disease progression and treatment failure. BPH is a heterogenous disease process. A more personalized approach to treatment, including patient selection for medical or surgical management, would allow us to optimize patient care.

Indexed as

Drug ResistanceTreatment Failure5-alpha Reductase InhibitorsAdrenergic alpha-AntagonistsAge FactorsClinical Trials as TopicDisease ProgressionDrug Therapy, CombinationHumansMaleObesityPhosphodiesterase 5 InhibitorsProstate-Specific AntigenProstatic HyperplasiaProstatitis5-alpha Reductase InhibitorsAdrenergic alpha-AntagonistsPhosphodiesterase 5 InhibitorsProstate-Specific Antigen5alpha-reductase inhibitorsAlpha-blockersBenign prostatic hyperplasiaClinical trial resultsMedical therapyPredictors of treatment failure

Identifiers

What OpenQuestion holds

Textmetadata
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.