Evidence map›Paper›PMID 27792187›Full record

ReviewInternational journal of molecular sciences2016

Prostate Cancer Detection and Prognosis: From Prostate Specific Antigen (PSA) to Exosomal Biomarkers.

Xavier Filella, Laura Foj

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Urinary microRNAs expression in prostate cancer diagnosis: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Pooled it
  2. Pooled it
  3. Diagnosis accuracy of PCA3 level in patients with prostate cancer: a systematic review with meta-analysis.International braz j urol : official journal of the Brazilian Society of Urology
    Pooled it
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  6. Urine-Based Machine Learning Assay Detects Prostate Cancer.Diagnostics (Basel, Switzerland) · 2026
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3 more citing papers are in PubMed but not listed here.

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

2 authors.

Xavier FilellaDepartment of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, C/Villarroel, 170, 08036 Barcelona, Catalonia, Spain. xfilella@clinic.cat.
Laura FojDepartment of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, C/Villarroel, 170, 08036 Barcelona, Catalonia, Spain. lfoj@clinic.cat.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate specific antigen (PSA) remains the most used biomarker in the management of early prostate cancer (PCa), in spite of the problems related to false positive results and overdiagnosis. New biomarkers have been proposed in recent years with the aim of increasing specificity and distinguishing aggressive from non-aggressive PCa. The emerging role of the prostate health index and the 4Kscore is reviewed in this article. Both are blood-based tests related to the aggressiveness of the tumor, which provide the risk of suffering PCa and avoiding negative biopsies. Furthermore, the use of urine has emerged as a non-invasive way to identify new biomarkers in recent years, including the

Indexed as

AnimalsAntigens, NeoplasmBiomarkers, TumorExosomesHumansMaleMicroRNAsOncogene FusionPrognosisProspective StudiesProstateProstate-Specific AntigenProstatic NeoplasmsSerine EndopeptidasesTranscriptional Regulator ERGAntigens, NeoplasmBiomarkers, TumorERG protein, humanMicroRNAsprostate cancer antigen 3, humanProstate-Specific AntigenSerine EndopeptidasesTMPRSS2 protein, humanTranscriptional Regulator ERG4Kscorebiomarkerexosomal biomarkersmiRNAsPCA3 scoreprostate cancer detectionprostate health indexprostate specific antigen (PSA)

Identifiers

PMID27792187
PMCPMC5133785

What OpenQuestion holds

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Registered trials

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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.