Evidence map›Paper›PMID 29844697›Full record

ReviewPharmacogenomics and personalized medicine2018

Emerging biomarkers in the diagnosis of prostate cancer.

Xavier Filella, Esther Fernández-Galan, Rosa Fernández Bonifacio, Laura Foj

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
13.6field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Biomarkers for Prostate Cancer: From Diagnosis to Treatment.Diagnostics (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Xavier FilellaDepartment of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain.
Esther Fernández-GalanDepartment of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain.
Rosa Fernández BonifacioDepartment of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain.
Laura FojDepartment of Biochemistry and Molecular Genetics (CDB), Hospital Clínic, IDIBAPS, Barcelona, Catalonia, Spain.
Hospital Clínic de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the second most common cancer in men worldwide. A large proportion of PCa are latent, never destined to progress or affect the patients' life. It is of utmost importance to identify which PCa are destined to progress and which would benefit from an early radical treatment. Prostate-specific antigen (PSA) remains the most used test to detect PCa. Its limited specificity and an elevated rate of overdiagnosis are the main problems associated with PSA testing. New PCa biomarkers have been proposed to improve the accuracy of PSA in the management of early PCa. Commercially available biomarkers such as PCA3 score, Prostate Health Index (PHI), and the four-kallikrein panel are used with the purpose of reducing the number of unnecessary biopsies and providing information related to the aggressiveness of the tumor. The relationship with PCa aggressiveness seems to be confirmed by PHI and the four-kallikrein panel, but not by the PCA3 score. In this review, we also summarize new promising biomarkers, such as PSA glycoforms,

Indexed as

four-kallikrein panelmiRNAsPCA3PHIprostate cancerPSA

Identifiers

PMID29844697
PMCPMC5961643
OpenAlexW2803246515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.