Evidence map›Paper›PMID 36777473›Full record

ArticleInternational journal of diabetes in developing countries2023

Incidence and predictors of metabolic syndrome in Asian-Indians: a 10-year population-based prospective cohort study.

Satyam Singh Jayant, Rahul Gupta, Ashu Rastogi, Naresh Sachdeva, Sant Ram, Pinaki Dutta, Anil Bhansali, Sanjay Kumar Bhadada

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of diabetes in developing countries, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. A Longitudinal Assessment of Metabolic Syndrome.Journal of clinical medicine · 2025
    Article
  2. Review
  3. Incidence of Metabolic Syndrome and Its Risk Factors in Elderly with Nonalcoholic Fatty Liver Disease.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    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

8 authors.

Satyam Singh Jayant *Department of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.
Rahul Gupta *Department of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.
Ashu Rastogi *Department of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.
Naresh SachdevaDepartment of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.
Sant RamDepartment of Biochemistry, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Pinaki DuttaDepartment of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.
Anil BhansaliDepartment of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.
Sanjay Kumar BhadadaDepartment of Endocrinology, Diabetes and Metabolism, Postgraduate Institute of Medical Education and Research (PGIMER), 8, Nehru Extension Block, Chandigarh, 160012 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic syndrome represents aggregation of risk factors associated with an increased risk of developing type 2 diabetes mellitus (DM) and atherosclerotic cardiovascular disease (ASCVD). Assessing its incidence is an effective way for estimating the future burden of DM and ASCVD and understanding their secular trends and effect of public health measures on halting the evolution of risk factors. The present study aimed to estimate the incidence of metabolic syndrome and its predictors using a population-based cohort. Methods: A subset of Chandigarh Urban Diabetes Study cohort ( Results: In the followed-up individuals ( Conclusion: Asian-Indians have a high incidence rate of metabolic syndrome, which is associated with sedentary lifestyle and consequent central obesity.

Indexed as

Asian-IndiansDiabetes mellitusHypertensionMetabolic syndrome

Identifiers

PMID36777473
PMCPMC9903260

What OpenQuestion holds

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Registered trials

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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.