Evidence map›Paper›PMID 29302549›Full record

ArticleJournal of family medicine and primary care

Validity of Indian Diabetes Risk Score and its association with body mass index and glycosylated hemoglobin for screening of diabetes in and around areas of Lucknow.

Mohammad Mustufa Khan, Gyanendra Kumar Sonkar, Roshan Alam, Sudhir Mehrotra, M Salman Khan, Ajay Kumar, Satyendra Kumar Sonkar

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. A Systematic Narrative Review onEndocrine, metabolic & immune disorders drug targets · 2024
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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

7 authors at 3 institutions in 1 country.

Mohammad Mustufa KhanDepartment of Biochemistry, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, Uttar Pradesh, India.
Gyanendra Kumar SonkarDepartment of Biochemistry, King George's Medical University, Lucknow, Uttar Pradesh, India.
Roshan AlamDepartment of Biochemistry, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, Uttar Pradesh, India.
Sudhir MehrotraDepartment of Medicine, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, Uttar Pradesh, India.
M Salman KhanDepartment of Biosciences, Integral University, Lucknow, Uttar Pradesh, India.
Ajay KumarDepartment of Biochemistry, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, Uttar Pradesh, India.
Satyendra Kumar SonkarDepartment of Medicine, Hemodialysis Unit, King George's Medical University, Lucknow, Uttar Pradesh, India.
Integral University · INInstitute of Medical Sciences · INKing George's Medical University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study aimed to assess the validity of Indian Diabetes Risk Score (IDRS) and its association with body mass index (BMI) and glycosylated hemoglobin (HbA1c) for screening of diabetes and obesity. METHODOLOGY: A cross-sectional study was designed, and samples were randomly enrolled from Lucknow and its adjoining areas. Totally, 405 subjects were included in the study. We used diabetes risk factors (age, waist circumference, physical activity, and family history of diabetes) for screening of diabetes and abdominal obesity (AO) and BMI for screening of general obesity. HbA1c was used for confirming the diabetes patients in this population. Statistical analysis was applied to all data using SPSS software (version 20.0).

resultsAll 405 subjects were assessed for diabetic risk factors, BMI, and glycated hemoglobin. Of these, 56.3% subjects were aged ≥50 years. 1° and 2° AO was found in 47.9% and 40% subjects, respectively. About 27.1% subjects were found to have sedentary lifestyle, and 72.6% were found to have no family history of diabetes. According to IDRS, 272 subjects (67.2%) were found at high risk of diabetes (score ≥60). Based on BMI calculation, 198 subjects were obese, of which 79.3% were found at high risk for diabetes. A significant association was found between subjects with higher risk score and BMI (

conclusionOur study fully supports the validity of IDRS, as it can be used as a cost-effective tool for primary mass screening of diabetes. Moreover, its combination with BMI value and HbA1c can be used for strict monitoring for diabetes and obesity at primary health care centers to reduce the early development of diabetes complications and severe obesity comorbidities.

Indexed as

Body mass indexdiabetesdiabetes risk factorsglycosylated hemoglobinobesity

Identifiers

PMID29302549
PMCPMC5749088
OpenAlexW2778104193

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.