Evidence map›Paper›PMID 32784833›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Evaluation of MicroRNAs as Non-Invasive Diagnostic Markers in Urinary Cells from Patients with Suspected Prostate Cancer.

Angelika Borkowetz, Andrea Lohse-Fischer, Jana Scholze, Ulrike Lotzkat, Christian Thomas, Manfred P Wirth, Susanne Fuessel, Kati Erdmann

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.0field-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

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

  1. Pooled it
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  6. Review
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  9. Article
  10. The Role of miRNA in Ovarian Cancer: an Overview.Reproductive sciences (Thousand Oaks, Calif.) · 2022
    Review
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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

8 authors at 2 institutions in 1 country.

Angelika BorkowetzDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Andrea Lohse-FischerDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Jana ScholzeDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Ulrike LotzkatDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Christian ThomasDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Manfred P WirthDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Susanne FuesselDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.
Kati ErdmannDepartment of Urology, Technische Universität Dresden, 01307 Dresden, Germany.ORCID 0000-0003-3717-3637
German Cancer Research Center · DETechnische Universität Dresden · DE

Funding

German Cancer Consortium -Technische Universität Dresden MeDDriveStart 60.392
6 · The paper itself

Abstract

Currently used tumor markers for early diagnosis of prostate cancer (PCa) are often lacking sufficient specificity and sensitivity. Therefore, the diagnostic potential of selected microRNAs in comparison to serum PSA levels and PSA density (PSAD) was explored. A panel of 12 PCa-associated microRNAs was quantified by qPCR in urinary sediments from 50 patients with suspected PCa undergoing prostate biopsy, whereupon PCa was detected in 26 patients. Receiver operating characteristic (ROC) curve analyses revealed a potential for non-invasive urine-based PCa detection for miR-16 (AUC = 0.744,

Indexed as

biomarkerbiopsydiagnosismicroRNAnon-invasiveprostate cancerPSAPSA densityurinary cellsurine

Identifiers

PMID32784833
PMCPMC7460346
OpenAlexW3048221737

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.