Evidence map›Paper›PMID 34495542›Full record

ArticleAdvances in experimental medicine and biology2021

Glycosylation and Cardiovascular Diseases.

Hesam Dashti, Maria Angelica Pabon Porras, Samia Mora

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. TheBiomolecules · 2023
    Article
  9. High-Throughput Glycomic Methods.Chemical reviews · 2022
    Review
  10. Changes in Serum IgG Glycosylation Patterns for Abdominal Aortic Aneurysm Patients.Journal of cardiovascular development and disease · 2022
    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 1 country.

Hesam Dashti *Center for Lipid Metabolomics, Divisions of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Maria Angelica Pabon Porras *Center for Lipid Metabolomics, Divisions of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Samia MoraCenter for Lipid Metabolomics, Divisions of Cardiovascular and Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. smora@bwh.harvard.edu.
Harvard University · USBrigham and Women's Hospital · US

Funding

Patient Centered Approaches to Preventing ASCVD EventsK24HL136852 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMIA MORA · 2018 to 2026
$1.1M
NHLBI NIH HHS K24 HL136852
6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the leading cause of death worldwide, accounting for approximately 18 million deaths in 2017. Coronary artery disease is the predominant cause of death from CVD, followed by stroke. Owing to recent technological advancements, glycans and glycosylation patterns of proteins have been investigated in association with CVD risk factors and clinical events. These studies have found significant associations of glycans as biomarkers of systemic inflammation and major CVD risk factors and events. While more limited, studies have also shown that glycans may be useful for monitoring response to anti-inflammatory therapies and may be responsive to changes in lifestyle, particularly in patients with chronic inflammatory diseases. Glycans capture summative risk information related to inflammatory, immune, and signaling pathways and are promising biomarkers for CVD risk prediction and therapeutic monitoring.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseBiomarkersGlycosylationHumansRisk FactorsBiomarkersBiomarkersCardiovascular diseaseGlycosylationImmunoglobulin GInflammationPrevention

Identifiers

PMID34495542
OpenAlexW3198032026

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.