Evidence map›Paper›PMID 36707316›Full record

ArticleTrends in genetics : TIG2023

People with disability and privacy in precision medicine research: what's at stake?

Supriya Lal Kapur, Maya Sabatello

Open access · greenAbstract read
In one paragraph

Article in Trends in genetics : TIG, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Supriya Lal KapurCenter for Precision Medicine and Genomics, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.
Maya SabatelloCenter for Precision Medicine and Genomics, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA; Division of Ethics, Department of Medical Humanities and Ethics, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: ms4075@cumc.columbia.edu.
Columbia University Irving Medical Center · US

Funding

Disability, diversity and trust in precision medicine research: stakeholdersengagementR01HG010868 · NHGRI · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI SABATELLO, MAYA · 2020 to 2023
$3.5M
NHGRI NIH HHS R01 HG010868
6 · The paper itself

Abstract

Re-identification from data used in precision medicine research is presumed to create minimal risk but may disproportionately impact health disparity populations. We consider plausible privacy risks and the negative ramifications thereof for people with disabilities, the largest health disparity population in the USA, and suggest measures to address these concerns.

Indexed as

Persons with DisabilitiesPrecision MedicineHumansPrivacyhealth disparities populationpeople with disabilitiesprecision medicine researchprivacy risks

Identifiers

PMID36707316
PMCPMC10240978
OpenAlexW4317940530

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.