Evidence map›Paper›PMID 36388432›Full record

ReviewEuropean urology open science2022

Molecular Biomarkers for the Detection of Clinically Significant Prostate Cancer: A Systematic Review and Meta-analysis.

Tasmania Del Pino-Sedeño, Diego Infante-Ventura, Aythami de Armas Castellano, Pedro de Pablos-Rodríguez, Antonio Rueda-Domínguez, Pedro Serrano-Aguilar, María M Trujillo-Martín

Open access · goldAbstract readReview
In one paragraph

Review in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. METCAM/MUC18 is a Biomarker and Therapeutic Target for Prostate Cancer.Asian Pacific journal of cancer prevention : APJCP · 2025
    Article
  6. Utility of Combining Prostate Health Index and Magnetic Resonance Imaging for the Diagnosis of Prostate Cancer.International journal of urology : official journal of the Japanese Urological Association · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 4 institutions in 1 country.

Tasmania Del Pino-SedeñoCanary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain.
Diego Infante-VenturaCanary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain.
Aythami de Armas CastellanoCanary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain.
Pedro de Pablos-RodríguezDepartment of Urology, Valencian Institute of Oncology Foundation, Valencia, Spain.
Antonio Rueda-DomínguezMedical Oncology Intercenter Unit, Regional and Virgen de la Victoria University Hospitals, IBIMA, Málaga, Spain.
Pedro Serrano-AguilarThe Spanish Network of Agencies for Health Technology Assessment and Services of the National Health System (RedETS), Madrid, Spain.
María M Trujillo-MartínCanary Islands Health Research Institute Foundation (FIISC), Tenerife, Spain.
Health Research Institute of the Balearic Islands · ESSpanish Clinical Research Network · ESFundación Instituto Valenciano de Oncología · ESServicio Canario de la Salud · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Prostate cancer (PCa) is the second most common type of cancer in men. Individualized risk stratification is crucial to adjust decision-making. A variety of molecular biomarkers have been developed in order to identify patients at risk of clinically significant PCa (csPCa) defined by the most common PCa risk stratification systems. Objective: The present study aims to examine the effectiveness (diagnostic accuracy) of blood or urine-based PCa biomarkers to identify patients at high risk of csPCa. Evidence acquisition: A systematic review of the literature was conducted. Medline and EMBASE were searched from inception to March 2021. Randomized or nonrandomized clinical trials, and cohort and case-control studies were eligible for inclusion. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Pooled estimates of sensitivity, specificity, and area under the curve were obtained. Evidence synthesis: Sixty-five studies ( Conclusions: The PHI test has a high diagnostic accuracy rate for csPCa detection, and its incorporation in the diagnostic process could reduce unnecessary biopsies. However, there is a lack of evidence on patient-important outcomes and thus more research is needed. Patient summary: It has been possible to verify that the application of biomarkers could help detect prostate cancer (PCa) patients with a higher risk of poorer evolution. The Prostate Health Index shows an ability to identify 95-100 for every 100 patients suffering from clinically significant PCa who take the test, preventing unnecessary biopsies in 14-33% of men without PCa or insignificant PCa.

Indexed as

Clinically significant cancerMeta-analysisMolecular markersProstatic neoplasmsSystematic review

Identifiers

PMID36388432
PMCPMC9664479
OpenAlexW4309410718

What OpenQuestion holds

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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.