Evidence map›Paper›PMID 22874797›Full record

ReviewJournal of human hypertension2013

Proteomics in hypertension.

D M Carty, E Schiffer, C Delles

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of human hypertension, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06208501 (The Predictive Role of Proteomics in Blood Pressure Response of Hypertensive Patients Undergoing Renal Denervation.), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.4field-weighted citation impact, top 39% 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.

NCT06208501 unknown statusnot on this mapstarted 2023, after this paper: background citation

The Predictive Role of Proteomics in Blood Pressure Response of Hypertensive Patients Undergoing Renal Denervation.

TypeobservationalSponsorHippocration General HospitalRan2023 to 2025Enrolled100ConditionsHypertension, Renal Denervation, ProteomicsArmsUrine sample for proteomic analysis, ABPM, OBPM
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Pre-emptive medicine for hypertension and its prospects.Hypertension research : official journal of the Japanese Society of Hypertension · 2019
    Review
  6. Review
  7. Article
  8. The Future of "Omics" in Hypertension.The Canadian journal of cardiology · 2017
    Review
  9. Review
  10. Article
  11. 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

3 authors at 2 institutions in 2 countries.

D M CartyBHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
E Schiffer
C Delles
University of Glasgow · GBMosaiques Diagnostics and Therapeutics (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomics, the study of the proteins making up the proteome, has emerged in recent years as an important tool in several different fields of medical research for early disease detection, for assessment of response to treatment and for unravelling underlying pathophysiological mechanisms. Although the majority of patients with hypertension are treated in a similar manner, the causes underlying the condition are diverse, and often poorly understood. Genetic studies have implicated several different candidate genes, but it may be that examination of the 'downstream' products of genes, the proteins, will help to improve understanding of the link between the environmental and genetic effects that contribute towards development of hypertension. Proteomic studies can be performed quickly and reliably on several different sample types including plasma and urine, requiring minimal pre-test preparation. In this review, we will compare the different analytical platforms and technical issues involved in proteomic analysis. We will discuss existing studies of proteomics in hypertension, as well as related conditions such as renal disease, pre-eclampsia and coronary artery disease. We will also explore potential future applications of proteomics-based research, which may ultimately lead to improved population screening, monitoring of therapy and early detection of target organ damage.

Indexed as

ProteomicsBiomarkersEarly DiagnosisHumansHypertensionPredictive Value of TestsPrognosisProteinsReproducibility of ResultsBiomarkersProteins

Identifiers

PMID22874797
OpenAlexW1979214497

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.