Evidence map›Paper›PMID 36523268›Full record

ArticleBrain communications2022

Polygenic coronary artery disease association with brain atrophy in the cognitively impaired.

Eric de Silva, Carole H Sudre, Josephine Barnes, Marzia A Scelsi, Andre Altmann, Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. 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 1 country.

Eric de SilvaCentre for Medical Image Computing, University College London, London, UK.
Carole H SudreCentre for Medical Image Computing, University College London, London, UK.
Josephine BarnesDementia Research Centre, UCL Queen Square Institute of Neurology, London, UK.
Marzia A ScelsiCentre for Medical Image Computing, University College London, London, UK.
Andre AltmannCentre for Medical Image Computing, University College London, London, UK.ORCID https://orcid.org/0000-0002-9265-2393
Alzheimer’s Disease Neuroimaging Initiative
University College London · GBKing's College London · GBUCL Biomedical Research Centre · GBUK Dementia Research Institute · GB

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
EPA EP-W-17-011Medical Research Council MC_UU_00019/3Medical Research Council MC_UU_00019/4NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

While a number of low-frequency genetic variants of large effect size have been shown to underlie both cardiovascular disease and dementia, recent studies have highlighted the importance of common genetic variants of small effect size, which, in aggregate, are embodied by a polygenic risk score. We investigate the effect of polygenic risk for coronary artery disease on brain atrophy in Alzheimer's disease using whole-brain volume and put our findings in context with the polygenic risk for Alzheimer's disease and presumed small vessel disease as quantified by white-matter hyperintensities. We use 730 subjects from the Alzheimer's disease neuroimaging initiative database to investigate polygenic risk score effects (beyond

Indexed as

Alzheimer’s diseasebrain atrophycoronary artery diseasepolygenic risk scorewhite-matter hyperintensities

Identifiers

PMID36523268
PMCPMC9746681
OpenAlexW4311303732

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.