Evidence map›Paper›PMID 32944536›Full record

ReviewTranslational andrology and urology2020

Clinical predictive factors in prostatic artery embolization for symptomatic benign prostatic hyperplasia: a comprehensive review.

Fei Sun, Vanesa Lucas-Cava, Francisco Miguel Sánchez-Margallo

Open access · diamondAbstract readReview
In one paragraph

Review in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Fei SunJesus Uson Minimally Invasive Surgery Centre, Caceres, Spain.
Vanesa Lucas-CavaJesus Uson Minimally Invasive Surgery Centre, Caceres, Spain.
Francisco Miguel Sánchez-MargalloJesus Uson Minimally Invasive Surgery Centre, Caceres, Spain.
Centro de Cirugía de Mínima Invasión Jesús Usón · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostatic artery embolization (PAE) has been established as a routine treatment for symptomatic benign prostatic hyperplasia (BPH) all over the world. With increasing clinical experience in the last decade, investigators have sufficient data to assess predictive factors with the purpose to guide patient selection and counseling for PAE or to individualize therapeutic plans after PAE. This paper is a comprehensive review to introduce the concept of clinical predictors and give a systemic classification of various predictive factors in PAE. The authors review each individual factor and its predictive capability and discuss the possible reasons for the inconsistent or conflicting findings in the literature. Based on current evidence, the baseline prostate volume, in particular the transition zone volume and transition zone index; 24 h post-PAE prostate-specific antigen (PSA) level; and prostate infarction and prostate volume reduction at 1-3 months have potential in prediction of treatment outcomes. Patients with Adenomatous-dominant BPH or with indwelling bladder catheter before PAE may have more benefits from PAE. Baseline intravesical prostatic protrusion (IPP), C-reactive protein (CRP) level at 48 h and early detection of prostate infarct at 1 day and 1 week after PAE need further investigating.

Indexed as

benign prostatic hyperplasia (BPH)lower urinary tract symptoms (LUTS)predictive factorsProstatic artery embolization (PAE)

Identifiers

PMID32944536
PMCPMC7475690
OpenAlexW3048186904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.