Evidence map›Paper›PMID 24877145›Full record

ReviewBioMed research international2014

Novel tools for prostate cancer prognosis, diagnosis, and follow-up.

Andreas Dimakakos, Athanasios Armakolas, Michael Koutsilieris

Abstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Genes · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Fibromodulin Gene Variants (Disease markers · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. NMR-based metabolomics studies of human prostate cancer tissue.Metabolomics : Official journal of the Metabolomic Society · 2018
    Review
  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

3 authors.

Andreas DimakakosPhysiology Laboratory, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527 Athens, Greece.ORCID 0000-0001-5668-9853
Athanasios ArmakolasPhysiology Laboratory, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527 Athens, Greece.ORCID 0000-0002-5864-1818
Michael KoutsilierisPhysiology Laboratory, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 11527 Athens, Greece.ORCID 0000-0002-3340-9916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate-specific antigen (PSA) is the main diagnostic tool when it comes to prostate cancer but it possesses serious limitations. Therefore, there is an urgent need for more sensitive and specific biomarkers for prostate cancer prognosis and patient follow-up. Recent advances led to the discovery of many novel diagnostic/prognostic techniques and provided us with many worthwhile candidates. This paper briefly reviews the most promising biomarkers with respect to their implementation in screening, early detection, diagnostic confirmation, prognosis, and prediction of therapeutic response or monitoring disease and recurrence; and their use as possible therapeutic targets. This review also examines the possible future directions in the field of prostate cancer marker research.

Indexed as

Antigens, NeoplasmBiomarkers, TumorGPI-Linked ProteinsHumansMaleMonitoring, PhysiologicNeoplasm ProteinsPrognosisProstatic NeoplasmsAntigens, NeoplasmBiomarkers, TumorGPI-Linked ProteinsNeoplasm ProteinsPSCA protein, human

Identifiers

PMID24877145
PMCPMC4024423

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.