Evidence map›Paper›PMID 26142129›Full record

ArticleJournal of genetic counseling2002

Factors Influencing Men's Interest in Gene Testing for Prostate Cancer Susceptibility.

Duane D Culler, Judy Silberg, Lauren Vanner-Nicely, Joy L Ware, Colleen Jackson-Cook, Joann Bodurtha

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of genetic counseling, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Review
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

6 authors at 2 institutions in 1 country.

Duane D CullerCenter for Human Genetics, University Hospitals of Cleveland, Cleveland, Ohio, duane.culler@uhhs.com.
Judy Silberg
Lauren Vanner-Nicely
Joy L Ware
Colleen Jackson-Cook
Joann Bodurtha
Virginia Commonwealth University · USCenter for Human Genetics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interest in genetic testing for inherited cancer susceptibility is high in the general population. Women at risk for BRCA1 and BRCA2 mutations represent the best-studied population undergoing genetic testing for cancer susceptibility. However, it is unclear whether factors influencing interest in genetic testing in women are directly applicable to men. We designed a study to examine factors associated with men's interest in genetic testing to identify prostate cancer susceptibility. Our sample consisted of 267 men present in waiting rooms of a urology clinic in an urban area. We examined whether the concept of "monitoring" could be used to predict the interest of men in a genetic test for prostate cancer susceptibility. Our results indicated that "monitoring" trait was positively associated with interest in genetic testing in these men, but principally for patients rather than nonpatients. Moreover we found that monitoring was associated with over estimation of risk in those men with prostate cancer. Other factors found to influence interest in genetic testing included recommendation by a doctor, family history of prostate cancer, and cost. This study indicated that interest in genetic testing and estimation of risk is influenced by a complex interaction between both psychological factors (monitoring) and nonbehavioral factors (such as patient status, cost, and doctor recommendation).

Identifiers

PMID26142129
OpenAlexW146533688

What OpenQuestion holds

Textmetadata
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.