Evidence map›Paper›PMID 26847245›Full record

ReviewBlood2016

Personalized medicine in thrombosis: back to the future.

Srikanth Nagalla, Paul F Bray

Open access · greenAbstract readReview
In one paragraph

Review in Blood, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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  7. Article
  8. Article
  9. A comprehensive review ofFrontiers in pharmacology · 2022
    Review
  10. Donor genetic variants as risk factors for thrombosis after liver transplantation: A genome-wide association study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Article
  11. Review
  12. Article
  13. Article
  14. 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

2 authors at 1 institution in 1 country.

Srikanth NagallaThe Cardeza Foundation for Hematologic Research and the Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Paul F BrayThe Cardeza Foundation for Hematologic Research and the Department of Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA.
Thomas Jefferson University · US

Funding

Variation in platelet function: the genetics of platelet gene expressionR01HL102482 · NHLBI · UNIVERSITY OF UTAH · PI BRAY, PAUL F. · 2010 to 2018
$4.6M
Genetic regulation of racial differences in platelet reactivityR01MD007880 · NIMHD · UNIVERSITY OF UTAH · PI BRAY, PAUL F. · 2013 to 2017
$1.9M
NHLBI NIH HHS R01 HL102482NIMHD NIH HHS R01 MD007880
6 · The paper itself

Abstract

Most physicians believe they practiced personalized medicine prior to the genomics era that followed the sequencing of the human genome. The focus of personalized medicine has been primarily genomic medicine, wherein it is hoped that the nucleotide dissimilarities among different individuals would provide clinicians with more precise understanding of physiology, more refined diagnoses, better disease risk assessment, earlier detection and monitoring, and tailored treatments to the individual patient. However, to date, the "genomic bench" has not worked itself to the clinical thrombosis bedside. In fact, traditional plasma-based hemostasis-thrombosis laboratory testing, by assessing functional pathways of coagulation, may better help manage venous thrombotic disease than a single DNA variant with a small effect size. There are some new and exciting discoveries in the genetics of platelet reactivity pertaining to atherothrombotic disease. Despite a plethora of genetic/genomic data on platelet reactivity, there are relatively little actionable pharmacogenetic data with antiplatelet agents. Nevertheless, it is crucial for genome-wide DNA/RNA sequencing to continue in research settings for causal gene discovery, pharmacogenetic purposes, and gene-gene and gene-environment interactions. The potential of genomics to advance medicine will require integration of personal data that are obtained in the patient history: environmental exposures, diet, social data, etc. Furthermore, without the ritual of obtaining this information, we will have depersonalized medicine, which lacks the precision needed for the research required to eventually incorporate genomics into routine, optimal, and value-added clinical care.

Indexed as

Gene-Environment InteractionHigh-Throughput Nucleotide SequencingThrombosisHumansPrecision Medicine

Identifiers

PMID26847245
PMCPMC4891951
OpenAlexW2395093477

What OpenQuestion 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 OpenQuestion graph.