Evidence map›Paper›PMID 34072980›Full record

ArticleJournal of clinical medicine2021

Characteristics of the Urinary Proteome in Women with Overactive Bladder Syndrome: A Case-Control Study.

Marianne Koch, Pavel Lyatoshinsky, Goran Mitulovic, Barbara Bodner-Adler, Sören Lange, Engelbert Hanzal, Wolfgang Umek

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors at 3 institutions in 2 countries.

Marianne KochDepartment of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Pavel LyatoshinskyDepartment of Urology, Cantonal Hospital St Gallen, 9007 St Gallen, Switzerland.
Goran MitulovicClinical Institute of Laboratory Medicine and Proteomics Core Facility, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-1964-3965
Barbara Bodner-AdlerDepartment of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-2120-5550
Sören LangeDepartment of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Engelbert HanzalDepartment of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Wolfgang UmekDepartment of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-1710-7712
Medical University of Vienna · ATKarl Landsteiner Society · ATUniversity of St.Gallen · CH

Funding

Medical-scientific fund of the Mayor of the federal capital Vienna 14086
6 · The paper itself

Abstract

Despite an estimated prevalence of 13% in women, the exact etiology of non-neurogenic overactive bladder syndrome is unclear. The aim of our study was to gain a better understanding of the pathophysiology of female overactive bladder syndrome by mapping the urinary proteomic profile. We collected urine samples of 20 patients with overactive bladder syndrome and of 20 controls. We used mass spectrometric analysis for label-free quantitation, Swissprot human database for data search, Scaffold for data allocation and the Reactome Knowledgebase for final pathway enrichment analysis. We identified 1897 proteins at a false discovery rate of 1% and significance level

Indexed as

antimicrobialapoptosiscellular response to stressmass spectrometryoveractive bladder syndromepathophysiologyprotein pathwayproteomicsurine

Identifiers

PMID34072980
PMCPMC8198757
OpenAlexW3164102203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.