Evidence map›Paper›PMID 32805198›Full record

ArticleJournal of the American Heart Association2020

Association of Established Blood Pressure Loci With 10-Year Change in Blood Pressure and Their Ability to Predict Incident Hypertension.

Alaitz Poveda, Naeimeh Atabaki-Pasdar, Shafqat Ahmad, Göran Hallmans, Frida Renström, Paul W Franks

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 3 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. 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

6 authors at 4 institutions in 3 countries.

Alaitz PovedaGenetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.
Naeimeh Atabaki-PasdarGenetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.
Shafqat AhmadPreventive Medicine Division Brigham and Women's HospitalHarvard Medical School Boston MA.
Göran HallmansSection for Nutritional Research Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.
Frida RenströmGenetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.
Paul W FranksGenetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.
Lund University · SEHarvard University · USUmeå University · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Genome-wide association studies have identified >1000 genetic variants cross-sectionally associated with blood pressure variation and prevalent hypertension. These discoveries might aid the early identification of subpopulations at risk of developing hypertension or provide targets for drug development, amongst other applications. The aim of the present study was to analyze the association of blood pressure-associated variants with long-term changes (10 years) in blood pressure and also to assess their ability to predict hypertension incidence compared with traditional risk variables in a Swedish population. Methods and Results We constructed 6 genetic risk scores (GRSs) by summing the dosage of the effect allele at each locus of genetic variants previously associated with blood pressure traits (systolic blood pressure GRS (GRS

Indexed as

Genetic LociGenetic VariationBlood PressureFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGuidelines as TopicHumansHypertensionIncidenceMaleMiddle AgedOdds RatioPredictive Value of TestsProspective StudiesRisk Factorsassociationblood pressuregeneticshypertensionincidenceprediction

Identifiers

PMID32805198
PMCPMC7660819
OpenAlexW3047536505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.