Evidence map›Paper›PMID 24701578›Full record

ReviewBioMed research international2014

The role of single nucleotide polymorphisms in predicting prostate cancer risk and therapeutic decision making.

Thomas Van den Broeck, Steven Joniau, Liesbeth Clinckemalie, Christine Helsen, Stefan Prekovic, Lien Spans, Lorenzo Tosco, Hendrik Van Poppel, Frank Claessens

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 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. An overview of remote monitoring methods in biodiversity conservation.Environmental science and pollution research international · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Genetic variants ofAmerican journal of cancer research · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Tissue-based biomarkers in prostate cancer.Expert review of precision medicine and drug development · 2017
    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

9 authors.

Thomas Van den BroeckDepartment of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium ; Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium.ORCID 0000-0002-7237-7160
Steven JoniauDepartment of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium.
Liesbeth ClinckemalieLaboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium.
Christine HelsenLaboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium.
Stefan PrekovicLaboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium.ORCID 0000-0002-7051-9321
Lien SpansLaboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium.
Lorenzo ToscoDepartment of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium.ORCID 0000-0003-3975-876X
Hendrik Van PoppelDepartment of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium.
Frank ClaessensLaboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium.ORCID 0000-0002-8676-7709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is a major health care problem because of its high prevalence, health-related costs, and mortality. Epidemiological studies have suggested an important role of genetics in PCa development. Because of this, an increasing number of single nucleotide polymorphisms (SNPs) had been suggested to be implicated in the development and progression of PCa. While individual SNPs are only moderately associated with PCa risk, in combination, they have a stronger, dose-dependent association, currently explaining 30% of PCa familial risk. This review aims to give a brief overview of studies in which the possible role of genetic variants was investigated in clinical settings. We will highlight the major research questions in the translation of SNP identification into clinical practice.

Indexed as

Decision MakingPolymorphism, Single NucleotideHumansMaleProstatic NeoplasmsRisk Factors

Identifiers

PMID24701578
PMCPMC3950427

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.