Evidence map›Paper›PMID 34934968›Full record

ArticleEuropean urology open science2021

Maria Skydt Lindgren, Philippe Lamy, Sia Viborg Lindskrog, Emil Christensen, Iver Nordentoft, Karin Birkenkamp-Demtröder, Benedicte Parm Ulhøi, Jørgen Bjerggaard Jensen, Lars Dyrskjøt

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Maria Skydt LindgrenDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Philippe LamyDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Sia Viborg LindskrogDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Emil ChristensenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Iver NordentoftDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Karin Birkenkamp-DemtröderDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Benedicte Parm UlhøiDepartment of Pathology, Aarhus University Hospital, Denmark.
Jørgen Bjerggaard JensenDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Lars DyrskjøtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, no biomarkers of response to mitomycin C have been identified in non-muscle-invasive bladder cancer patients. Predictive biomarkers could improve the treatment outcome and eliminate adverse events from unnecessary treatment.

objectiveTo identify and validate predictive biomarkers of chemoresection with mitomycin C. DESIGN SETTING AND

participantsThe intervention group of a randomised controlled trial was identified for analyses. The study was conducted between January 2018 and June 2019 in two major urological departments in Denmark. Patients had a history of Ta low-grade/high-grade disease and were included upon recurrence. The intervention group (58 patients) received chemoresection with mitomycin C. Tumour and reference germline DNA from prior tumours were analysed by whole exome sequencing. Predictive biomarkers were validated in the context of Ta low-grade tumours from the UROMOL study. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Response to chemotherapy (intervention group from the randomised controlled trial) and recurrence-free survival (UROMOL cohort) were measured. Groups were compared using Fisher's exact test and Wilcoxon rank sum test. RESULTS AND LIMITATIONS: Chemoresponse was associated with the mutation status of

conclusionsMutation status of PATIENT SUMMARY: We investigated DNA from noninvasive bladder tumours in order to predict treatment response to chemotherapy. Four biomarkers showed promising results, which should be tested in future studies.

Indexed as

BiomarkersBladder cancerChemoablationChemoresectionIntravesical instillationsMitomycin CNon–muscle-invasive bladder cancerPredictive biomarkersUrothelial carcinoma

Identifiers

PMID34934968
PMCPMC8655384
OpenAlexW3214666252

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.