Evidence map›Paper›PMID 41835934›Full record

ArticleHealth matrix (Cleveland, Ohio : 1991)2018

Needles, Haystacks and Next-Generation Genetic Sequencing.

Teneille R Brown

Abstract read
In one paragraph

Article in Health matrix (Cleveland, Ohio : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Teneille R Brown† Teneille R. Brown, J.D. is a Professor of Law at the University of Utah, S.J Quinney College of Law, and an adjunct Professor of Internal Medicine in the Division of Medical Ethics and Humanities at the University of Utah.

Funding

Utah Center of Excellence in ELSI Research: UCEERRM1HG009037 · NHGRI · UNIVERSITY OF UTAH · PI ROTHWELL, ERIN, TABERY, JAMES · 2016 to 2024
$8.0M
UCEER: Utah Center for Excellence in ELSI Research P20P20HG007249 · NHGRI · UNIVERSITY OF UTAH · PI BOTKIN, JEFFREY R. · 2013 to 2015
$777k
NHGRI NIH HHS P20 HG007249NHGRI NIH HHS RM1 HG009037
6 · The paper itself

Abstract

Genetic testing is becoming more frequent and the results more complex. Not infrequently, genetic testing conducted for one purpose reveals information about other features of the genome that may be of clinical significance. These unintended findings have been referred to as "incidental" or "secondary" findings. In 2013, the American College of Medical Genetics ("ACMG") recommended that clinical laboratories inform people if their genetic analyses indicate that they have certain secondary mutations. These mutations were selected because they probably cause a serious disease, which is treatable, and may go undetected. The ACMG's recommendations galvanized critical responses by the genetics and ethics community. One of the most important open questions concerns the scope of negligence liability for clinical laboratories if they failed to provide any of these SFs to patients who never requested them. To answer this question, this article argues that while there might be an

Identifiers

PMID41835934
PMCPMC12981692

What OpenQuestion holds

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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.