Evidence map›Paper›PMID 27297129›Full record

ReviewAsian journal of andrology

Clinical validity and utility of genetic risk scores in prostate cancer.

Brian T Helfand, James Kearns, Carly Conran, Jianfeng Xu

Open access · goldAbstract readReview
In one paragraph

Review in Asian journal of andrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Determining the role of genetic risk scores in symptomatic cancer detection.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. African-American Prostate Cancer Disparities.Current urology reports · 2017
    Review
  15. Article
  16. 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.

Brian T HelfandDepartment of Surgery, NorthShore University HealthSystem, Program for Personalized Cancer Care, Evanston, IL 60201, USA.
James KearnsDepartment of Surgery, NorthShore University HealthSystem, Program for Personalized Cancer Care, Evanston, IL 60201, USA.
Carly ConranDepartment of Surgery, NorthShore University HealthSystem, Program for Personalized Cancer Care, Evanston, IL 60201, USA.
Jianfeng XuDepartment of Surgery, NorthShore University HealthSystem, Program for Personalized Cancer Care, Evanston, IL 60201, USA.
NorthShore University HealthSystem · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current issues related to prostate cancer (PCa) clinical care (e.g., over-screening, over-diagnosis, and over-treatment of nonaggressive PCa) call for risk assessment tools that can be combined with family history (FH) to stratify disease risk among men in the general population. Since 2007, genome-wide association studies (GWASs) have identified more than 100 SNPs associated with PCa susceptibility. In this review, we discuss (1) the validity of these PCa risk-associated SNPs, individually and collectively; (2) the various methods used for measuring the cumulative effect of multiple SNPs, including genetic risk score (GRS); (3) the adequate number of SNPs needed for risk assessment; (4) reclassification of risk based on evolving numbers of SNPs used to calculate genetic risk, (5) risk assessment for men from various racial groups, and (6) the clinical utility of genetic risk assessment. In conclusion, data available to date support the clinical validity of PCa risk-associated SNPs and GRS in risk assessment among men with or without FH. PCa risk-associated SNPs are not intended for diagnostic use; rather, they should be used the same way as FH. Combining GRS and FH can significantly improve the performance of risk assessment. Improved risk assessment may have important clinical utility in targeted PCa testing. However, clinical trials are urgently needed to evaluate this clinical utility as well as the acceptance of GRS by patients and physicians.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideGenome-Wide Association StudyGenotypeHumansMaleProstatic NeoplasmsRisk Assessment

Identifiers

PMID27297129
PMCPMC4955171
OpenAlexW2401849207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.