Evidence map›Paper›PMID 26363536›Full record

ReviewSurgical oncology clinics of North America2015

Confidentiality & the Risk of Genetic Discrimination: What Surgeons Need to Know.

Amanda Gammon, Deborah W Neklason

Abstract readReview
In one paragraph

Review in Surgical oncology clinics of North America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. National Estimates of Genetic Testing in Women With a History of Breast or Ovarian Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 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

2 authors.

Amanda GammonDepartment of Internal Medicine, High Risk Cancer Research, Huntsman Cancer Institute at University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112, USA.
Deborah W NeklasonDepartment of Internal Medicine, High Risk Cancer Research, Huntsman Cancer Institute at University of Utah, 2000 Circle of Hope, Salt Lake City, UT 84112, USA. Electronic address: deb.neklason@hci.utah.edu.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
TCF/LEF function during intestinal maintenance and colon tumorigenesisP01CA073992 · NCI · UNIVERSITY OF UTAH · PI JONES, DAVID A · 1998 to 2014
$29.7M
NCI NIH HHS P01 CA073992NCI NIH HHS P30 CA042014
6 · The paper itself

Abstract

In the past decade, laws have been passed to provide legal protections against genetic discrimination. Many members of the public and medical providers are unaware of the legislation, and concerns about genetic privacy can prevent delivery of optimal medical care. Patient health information, including genetic testing and family history, is protected under the Health Insurance Portability and Accountability Act and the Genetic Information Nondiscrimination Act. Additional protections are granted through the Americans with Disabilities Act, state laws, and the Affordable Care Act. Communicating a genetic test result back to a patient is important for medical management decisions and family members.

Indexed as

Genetic Predisposition to DiseaseHealth Knowledge, Attitudes, PracticePatient Protection and Affordable Care ActSurgeonsConfidentialityGenetic TestingHumansSocial DiscriminationGenetic discriminationGenetic Information Nondiscrimination ActGenetic testingHealth Insurance Portability and Accountability ActHereditary cancerLegalPrivacy

Identifiers

PMID26363536
PMCPMC4568442

What OpenQuestion holds

Textmetadata
LicenceTDM
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.