Evidence map›Paper›PMID 27872083›Full record

ReviewClinical chemistry2017

Biomarkers and Genetics in Peripheral Artery Disease.

Surovi Hazarika, Brian H Annex

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Biomarker Analysis from the Compass Claudication Study - Rivaroxaban for Intermittent Claudication.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Multi-omics integration predicts 17 disease incidences in the UK Biobank.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Evaluation of Plasma Biomarkers for Causal Association With Peripheral Artery Disease.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Role of G-Proteins and GPCRs in Cardiovascular Pathologies.Bioengineering (Basel, Switzerland) · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. The Role of Circulating Biomarkers in Peripheral Arterial Disease.International journal of molecular sciences · 2021
    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.

Surovi HazarikaDivision of Cardiovascular Medicine and Robert Bernie Cardiovascular Research Center, University of Virginia, Charlottesville, VA.
Brian H AnnexDivision of Cardiovascular Medicine and Robert Bernie Cardiovascular Research Center, University of Virginia, Charlottesville, VA. bha4n@hscmail.mcc.virginia.edu.
University of Virginia · US

Funding

Role of micro-RNA's in PADK08HL130573 · NHLBI · UNIVERSITY OF VIRGINIA · PI HAZARIKA, SUROVI · 2016 to 2017
$193k
NHLBI NIH HHS K08 HL130573
6 · The paper itself

Abstract

backgroundPeripheral artery disease (PAD) is highly prevalent and there is considerable diversity in the initial clinical manifestation and disease progression among individuals. Currently, there is no ideal biomarker to screen for PAD, to risk stratify patients with PAD, or to monitor therapeutic response to revascularization procedures. Advances in human genetics have markedly enhanced the ability to develop novel diagnostic and therapeutic approaches across a host of human diseases, but such developments in the field of PAD are lagging. CONTENT: In this article, we will discuss the epidemiology, traditional risk factors for, and clinical presentations of PAD. We will discuss the possible role of genetic factors and gene-environment interactions in the development and/or progression of PAD. We will further explore future avenues through which genetic advances can be used to better our understanding of the pathophysiology of PAD and potentially find newer therapeutic targets. We will discuss the potential role of biomarkers in identifying patients at risk for PAD and for risk stratifying patients with PAD, and novel approaches to identification of reliable biomarkers in PAD. SUMMARY: The exponential growth of genetic tools and newer technologies provides opportunities to investigate and identify newer pathways in the development and progression of PAD, and thereby in the identification of newer biomarkers and therapies.

Indexed as

BiomarkersHumansPeripheral Arterial DiseaseRisk FactorsBiomarkers

Identifiers

PMID27872083
PMCPMC5475367
OpenAlexW2553803200

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.