Evidence map›Paper›PMID 31267841›Full record

ReviewPersonalized medicine2019

Current applications of precision medicine: a bibliometric analysis.

Jessica R Williams, Dalia Lorenzo, John Salerno, Vivian M Yeh, Victoria B Mitrani, Sunil Kripalani

Abstract readReview
In one paragraph

Review in Personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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.

Jessica R WilliamsSchool of Nursing, University of North Carolina at Chapel Hill, NC 27599, USA.
Dalia LorenzoSchool of Nursing & Health Studies, University of Miami, FL 33146, USA.
John SalernoDepartment of Behavioral & Community Health, School of Public Health, University of Maryland College Park, MD 20742, USA.
Vivian M YehCenter for Clinical Quality & Implementation Research, Vanderbilt University Medical Center, TN 37203, USA.
Victoria B MitraniSchool of Nursing & Health Studies, University of Miami, FL 33146, USA.
Sunil KripalaniCenter for Clinical Quality & Implementation Research, Vanderbilt University Medical Center, TN 37203, USA.

Funding

Training and Mentoring CoreU54MD010722 · NIMHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILKINS, CONSUELO HOPKINS · 2016 to 2020
$11.9M
NIMHD NIH HHS U54 MD010722
6 · The paper itself

Abstract

A bibliometric analysis was conducted to describe trends in the publication of precision medicine literature over time. Searches identified 5552 articles with exponential growth from 2012 to 2018. Most were published in medical specialty journals, particularly oncology. Precision medicine definitions focused on tailored/individualized/personalized treatments and genetics/biology. Little attention was given to social and environmental determinants of health and health disparities. To fulfill the promise of precision medicine to positively impact broad populations, work is needed to develop the science of precision medicine for addressing health disparities and social and environmental determinants of health. While some precision medicine definitions include all factors that contribute to individual differences in health (e.g., genes, environments and lifestyles), future empirical work that includes and integrates all three areas is also required.

Indexed as

Precision MedicineBibliometricsHealthcare DisparitiesHumansMedical OncologyPublicationsbibliometric analysisenvironmental determinants of healthhealth disparitieshealth equitypersonalized medicineprecision healthprecision medicinesocial determinants of healthsystematic review

Identifiers

PMID31267841
PMCPMC6954820

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.