Evidence map›Paper›PMID 37523192›Full record

ArticleJAMA internal medicine2023

National Estimates of the Adult Diabetes Care Continuum in India, 2019-2021.

Jithin Sam Varghese, Ranjit Mohan Anjana, Pascal Geldsetzer, Nikkil Sudharsanan, Jennifer Manne-Goehler, Harsha Thirumurthy, Soura Bhattacharyya, K M Venkat Narayan, Viswanathan Mohan, Nikhil Tandon and 1 more

Open access · greenAbstract read
In one paragraph

Article in JAMA internal medicine, 2023. 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
3.2field-weighted citation impact, top 7% 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, 16 citations in OpenAlex.

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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

11 authors at 9 institutions in 3 countries.

Jithin Sam VargheseEmory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia.
Ranjit Mohan AnjanaMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California.
Nikkil SudharsananProfessorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany.
Jennifer Manne-GoehlerDivision of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Harsha ThirumurthyDepartment of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Soura BhattacharyyaLattice Innovations, New Delhi, India.
K M Venkat NarayanEmory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia.
Viswanathan MohanMadras Diabetes Research Foundation and Dr Mohan's Diabetes Specialities Centre, Chennai, India.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
Mohammed K AliEmory Global Diabetes Research Center of Woodruff Health Sciences Center and Emory University, Atlanta, Georgia.
Emory University · USAll India Institute of Medical Sciences · INDr. Mohan's Diabetes Specialities Centre · INHarvard University · USHeidelberg University · DEMadras Diabetes Research Foundation · INStanford University · USUniversity of Pennsylvania · USWoodruff Health Sciences Center · US

Funding

Preventing Weight Gain and Diabetes in People with HIV in South AfricaK23DK125162 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNE-GOEHLER, JENNIFER · 2020 to 2024
$986k
NIDDK NIH HHS K23 DK125162
6 · The paper itself

Abstract

Importance: Diabetes is widespread and treatable, but little is known about the diabetes care continuum (diagnosis, treatment, and control) in India and how it varies at the national, state, and district levels. Objective: To estimate the adult population levels of diabetes diagnosis, treatment, and control in India at national, state, and district levels and by sociodemographic characteristics. Design, Setting, and Participants: In this cross-sectional, nationally representative survey study from 2019 to 2021, adults in India from 28 states, 8 union territories, and 707 districts were surveyed for India's Fifth National Family Health Survey (NFHS-5). The survey team collected data on blood glucose among all adults (18-98 years) who were living in the same household as eligible participants (pregnant or nonpregnant female individuals aged 15-49 years and male individuals aged 15-54 years). The overall sample consisted of 1 895 287 adults. The analytic sample was restricted to those who either self-reported having diabetes or who had a valid measurement of blood glucose. Exposures: The exposures in this survey study were district and state residence; urban vs rural residence; age (18-39 years, 40-64 years, or ≥65 years); sex; and household wealth quintile. Main Outcomes and Measures: Diabetes was defined by self-report or high capillary blood glucose (fasting: ≥126 mg/dL [to convert to mmol/L, multiply by 0.0555]; nonfasting: ≥220 mg/dL). Among respondents who had previously been diagnosed with diabetes, the main outcome was the proportion treated based on self-reported medication use and the proportion controlled (fasting: blood glucose <126 mg/dL; nonfasting: ≤180 mg/dL). The findings were benchmarked against the World Health Organization (WHO) Global Diabetes Compact targets (80% diagnosis; 80% control among those diagnosed). The variance in indicators between and within states was partitioned using variance partition coefficients (VPCs). Results: Among 1 651 176 adult respondents (mean [SD] age, 41.6 [16.4] years; 867 896 [52.6%] female) with blood glucose measures, the proportion of individuals with diabetes was 6.5% (95% CI, 6.4%-6.6%). Among adults with diabetes, 74.2% (95% CI, 73.3%-75.0%) were diagnosed. Among those diagnosed, 59.4% (95% CI, 58.1%-60.6%) reported taking medication, and 65.5% (95% CI, 64.5%-66.4%) achieved control. Diagnosis and treatment were higher in urban areas, older age groups, and wealthier households. Among those diagnosed in the 707 districts surveyed, 246 (34.8%) districts met the WHO diagnosis target, while 76 (10.7%) districts met the WHO control target. Most of the variability in diabetes diagnosis (VPC, 89.1%), treatment (VPC, 85.9%), and control (VPC, 95.6%) were within states, not between states. Conclusions and Relevance: In this survey study, the diabetes care continuum in India is represented by considerable district-level variation, age-related disparities, and rural-urban differences. Surveillance at the district level can guide state health administrators to prioritize interventions and monitor achievement of global targets.

Identifiers

PMID37523192
PMCPMC10391358
OpenAlexW4385406240

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.