Evidence mapPaperPMID 31889772Full record

ArticleEthnicity & disease2019

Can Precision Medicine Reduce the Burden of Diabetes?

Wylie Burke, Susan Brown Trinidad, David Schenck

Open access · bronzeAbstract read
In one paragraph

Article in Ethnicity & disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Precision Health Care Elements, Definitions, and Strategies for Patients with Diabetes: A Literature Review.International journal of environmental research and public health · 2021
    Review
  4. Article
  5. Article
  6. 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

3 authors at 2 institutions in 1 country.

Wylie BurkeDepartment of Bioethics and Humanities, University of Washington, Seattle, WA.
Susan Brown TrinidadDepartment of Bioethics and Humanities, University of Washington, Seattle, WA.
David SchenckEthics Program, Medical University of South Carolina, Charleston, SC.
University of Washington · USMedical University of South Carolina · US

Funding

NHGRI NIH HHS R01 HG008605
6 · The paper itself

Abstract

Precision medicine is a new health care concept intended to hasten progress toward individualized treatment and, in so doing, to improve everyone's opportunity to enjoy good health. Yet, this concept pays scant attention to opportunities for change in the social determinants that are the major drivers of health. Precision medicine research is likely to generate improvements in medical care but may have the unintended consequence of worsening existing disparities in health care access. For prevention, precision medicine emphasizes comprehensive risk prediction and individual efforts to accomplish risk reduction. The application of the precision medicine vision to type 2 diabetes, a growing threat to population health, fails to acknowledge collective responsibility for a health-promoting society.

Indexed as

Quality ImprovementDiabetes Mellitus, Type 2Health Services AccessibilityHumansNeeds AssessmentPopulation HealthPrecision MedicineSocial Determinants of HealthDiabetesGeneticsPrecision MedicineSocial Determinants of Health

Identifiers

PMID31889772
PMCPMC6919975
OpenAlexW2996049050

What Socratic 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 Socratic graph.