Evidence map›Paper›PMID 27102026›Full record

ArticleGlobal heart2016

Is the "South Asian Phenotype" Unique to South Asians?: Comparing Cardiometabolic Risk Factors in the CARRS and NHANES Studies.

Shivani A Patel, Roopa Shivashankar, Mohammed K Ali, R M Anjana, M Deepa, Deksha Kapoor, Dimple Kondal, Garima Rautela, V Mohan, K M Venkat Narayan and 5 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Global heart, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Obesity in South and Southeast Asia-A new consensus on care and management.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Guideline
  3. Trial
  4. Trial
  5. Article
  6. Optimizing Nutrition Strategies for Diabetes Management in India: An Expert Opinion.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Global epidemiology of dyslipidaemias.Nature reviews. Cardiology · 2021
    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

15 authors at 4 institutions in 4 countries.

Shivani A PatelCentre for Control of Chronic Conditions, New Delhi, India; Global Diabetes Research Center, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: s.a.patel@emory.edu.
Roopa ShivashankarCentre for Control of Chronic Conditions, New Delhi, India; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.
Mohammed K AliCentre for Control of Chronic Conditions, New Delhi, India; Global Diabetes Research Center, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
R M AnjanaDepartment of Diabetology, Madras Diabetes Research Foundation, Chennai, India.
M DeepaDepartment of Diabetology, Madras Diabetes Research Foundation, Chennai, India; Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India.
Deksha KapoorCentre for Control of Chronic Conditions, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.
Dimple KondalCentre for Control of Chronic Conditions, New Delhi, India; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.
Garima RautelaCentre for Control of Chronic Conditions, New Delhi, India; Public Health Foundation of India, New Delhi, India.
V MohanDepartment of Diabetology, Madras Diabetes Research Foundation, Chennai, India.
K M Venkat NarayanCentre for Control of Chronic Conditions, New Delhi, India; Global Diabetes Research Center, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
M Masood KadirAga Khan University, Karachi, Pakistan.
Zafar FatmiAga Khan University, Karachi, Pakistan.
Dorairaj PrabhakaranCentre for Control of Chronic Conditions, New Delhi, India; Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India.
Nikhil TandonCentre for Control of Chronic Conditions, New Delhi, India; Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
CARRS Investigators
Centre for Chronic Disease Control · INMadras Diabetes Research Foundation · INAga Khan University · PKEmory University · US

Funding

Interdisciplinary research training: NCD epidemiology and prevention in IndiaD43HD065249 · NICHD · CENTRE FOR CHRONIC DISEASE CONTROL · PI NARAYAN, KABAYAM M VENKAT, TANDON, NIKHIL · 2009 to 2013
$1.2M
NHLBI NIH HHS HHSN268200900026CNICHD NIH HHS D43 HD065249
6 · The paper itself

Abstract

backgroundIn the context of rising obesity in South Asia, it is unclear whether the "South Asian phenotype"(described as high glucose, low high-density lipoprotein cholesterol, and high triglycerides at normal ranges of body weight) continues to be disproportionately exhibited by contemporary South Asians relative to other race/ethnic groups.

objectivesWe assessed the distinctiveness of the South Asian cardiometabolic profile by comparing the prevalence of combined high glucose, high triglycerides, and low high-density lipoprotein cholesterol (combined dysglycemia and dyslipidemia) in resident South Asians with 4 race/ethnic groups in the United States (Asians, black persons, Hispanics, and white persons) overall and by body mass index (BMI) category.

methodsSouth Asian data were from the 2010 to 2011 Center for Cardiometabolic Risk Reduction in South Asia Study, representative of Chennai and New Delhi, India and Karachi, Pakistan. U.S. data were from the 2011 to 2012 National Health and Nutrition Examination Survey, representative of the U.S. POPULATION: Combined dysglycemia and dyslipidemia was defined as fasting blood glucose ≥126 mg/dl and triglyceride/high-density lipoprotein cholesterol ratio >4. Logistic regression was used to estimate the relative odds and 95% confidence intervals of combined dysglycemia and dyslipidemia associated with each race/ethnic group (referent, U.S. white persons). Models were estimated among adults aged 20 to 79 years by sex and BMI category and accounted for age, education, and tobacco use. Data from 8,448 resident South Asians, 274 U.S. Asians, 404 U.S. black persons, 308 U.S. Hispanics, and 703 U.S. white persons without previously known diabetes were analyzed.

resultsIn the normal body weight range of BMI 18.5 to 24.9 kg/m(2), the prevalence of combined dysglycemia and dyslipidemia among men and women, respectively, was 33% and 11% in resident South Asians, 15% and 1% in U.S. Asians, 5% and 2% in U.S. black persons, 11% and 2% in U.S. Hispanics, and 8% and 2% in U.S. white persons. Compared with U.S. whites persons, South Asians were more likely to present with combined dysglycemia and dyslipidemia at all categories of BMI for men and at BMI 18.5 to 29.9 for women in adjusted models. The most pronounced difference between South Asians and U.S. white persons was observed at normal weight (adjusted odds ratio: 4.98; 95% confidence interval: 2.46 to 10.07 for men) (adjusted odds ratio: 9.09; 95% confidence interval: 2.48 to 33.29 for women).

conclusionsBetween 8% and 15% of U.S. men and 1% and 2% of U.S. women of diverse race/ethnic backgrounds exhibited dysglycemia and dyslipidemia at levels of body weight considered "healthy," consistent with the cardiometabolic profile described as the "South Asian Phenotype." Urban South Asians, however, were 5 to 9 times more likely to exhibit dysglycemia and dyslipidemia in the "healthy" BMI range compared with any other U.S. race/ethnic group.

Indexed as

AsianBlack or African AmericanHispanic or LatinoWhite PeopleAdultAgedBlood GlucoseBody Mass IndexCholesterol, HDLDyslipidemiasFemaleHumansHyperglycemiaHypertriglyceridemiaIndiaMaleBlood GlucoseCholesterol, HDLTriglycerides

Identifiers

PMID27102026
PMCPMC4841915
OpenAlexW2335807471

What OpenQuestion holds

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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.