Evidence map›Paper›PMID 33461471›Full record

ReviewCurrent diabetes reviews2021

Genetic and Non-genetic Determinants of Cardiovascular Disease in South Asians.

Shiwali Goyal, Dharambir K Sanghera

Open access · greenAbstract readReview
In one paragraph

Review in Current diabetes reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Incident Cardiovascular Disease Risk among Older Asian, Native Hawaiian and Pacific Islander Breast Cancer Survivors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    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

2 authors at 1 institution in 1 country.

Shiwali GoyalDepartment of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Dharambir K SangheraDepartment of Pediatrics, Section of Genetics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
University of Oklahoma Health Sciences Center · US

Funding

Genome, Metabolome, Ancestry and Diabetes Health DisparityR01DK118427 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI DUGGIRALA, RAVINDRANATH, GORING, HARALD HEINZ HERBERT · 2019 to 2023
$2.5M
Genome-wide Association Scan to Identify Risk Genes for Type 2 Diabetes in AsianR01DK082766 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI SANGHERA, DHARAMBIR K. · 2009 to 2011
$2.3M
NIDDK NIH HHS R01 DK082766NIDDK NIH HHS R01 DK118427
6 · The paper itself

Abstract

South Asians (SAs), people from the Indian subcontinent (e.g., India, Pakistan, Bangladesh, Sri Lanka, and Nepal) have a higher prevalence of cardiovascular disease (CVD) and suffer from a greater risk of CVD-associated mortality compared to other global populations. These problems are compounded by the alterations in lifestyles due to urbanization and changing cultural, social, economic, and political environments. Current methods of CV risk prediction are based on white populations that under-estimate the CVD risk in SAs. Prospective studies are required to obtain actual CVD morbidity/mortality rates so that comparisons between predicted CVD risk can be made with actual events. Overwhelming data support a strong influence of genetic factors. Genome-Wide Association Studies (GWAS) serve as a starting point for future genetic and functional studies since the mechanisms of action by which these associated loci influence CVD is still unclear. It is difficult to predict the potential implication of these findings in clinical settings. This review provides a systematic assessment of the risk factors, genetics, and environmental causes of CV health disparity in SAs, and highlights progress made in clinical and genomics discoveries in the rapidly evolving field, which has the potential to show clinical relevance in the near future.

Indexed as

Cardiovascular DiseasesAsian PeopleGenome-Wide Association StudyHumansIndiaRisk FactorsCardiovascular diseasediabetesenvironmentgeneticsrisk factorssouth asians.

Identifiers

PMID33461471
PMCPMC10370262
OpenAlexW3125013195

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.