Evidence map›Paper›PMID 34834583›Full record

ArticleJournal of personalized medicine2021

Evaluation of the Predictive Role of Blood-Based Biomarkers in the Context of Suspicious Prostate MRI in Patients Undergoing Prostate Biopsy.

Pawel Rajwa, Nicolai A Huebner, Dadjar I Hostermann, Nico C Grossmann, Victor M Schuettfort, Stephan Korn, Fahad Quhal, Frederik König, Hadi Mostafaei, Ekaterina Laukhtina and 10 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

20 authors.

Pawel RajwaDepartment of Urology, Medical University of Silesia, 41-800 Zabrze, Poland.
Nicolai A HuebnerDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-1256-1927
Dadjar I HostermannDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Nico C GrossmannDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-8698-6461
Victor M SchuettfortDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Stephan KornDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Fahad QuhalDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Frederik KönigDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Hadi MostafaeiDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Ekaterina LaukhtinaDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-8953-0272
Keiichiro MoriDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Reza Sari MotlaghDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Takafumi YanagisawaDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-7410-0712
Abdulmajeed AydhDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-6078-6816
Piotr BryniarskiDepartment of Urology, Medical University of Silesia, 41-800 Zabrze, Poland.ORCID 0000-0002-7203-9006
Benjamin PradereDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-7768-8558
Andrzej ParadyszDepartment of Urology, Medical University of Silesia, 41-800 Zabrze, Poland.
Pascal A BaltzerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Bernhard GrubmüllerDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.
Shahrokh F ShariatDepartment of Urology, Medical University of Vienna, 1090 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess the predictive value of pre-biopsy blood-based markers in patients undergoing a fusion biopsy for suspicious prostate magnetic resonance imaging (MRI). We identified 365 consecutive patients who underwent MRI-targeted and systematic prostate biopsy for an MRI scored Prostate Imaging-Reporting and Data System Version (PI-RADS) ≥ 3. We evaluated the neutrophil/lymphocyte ratio (NLR), derived neutrophil/lymphocyte ratio (dNLR), platelet/lymphocyte ratio (PLR), systemic immune inflammation index (SII), lymphocyte/monocyte ratio (LMR,) de Ritis ratio, modified Glasgow Prognostic Score (mGPS), and prognostic nutrition index (PNI). Uni- and multivariable logistic models were used to analyze the association of the biomarkers with biopsy findings. The clinical benefits of biomarkers implemented in clinical decision-making were assessed using decision curve analysis (DCA). In total, 69% and 58% of patients were diagnosed with any prostate cancer and Gleason Grade (GG) ≥ 2, respectively. On multivariable analysis, only high dNLR (odds ratio (OR) 2.61, 95% confidence interval (CI) 1.23-5.56,

Indexed as

biopsydNLRMRINLRPNIprostate cancer

Identifiers

PMID34834583
PMCPMC8625876

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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.