Evidence map›Paper›PMID 41451069›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Predictive Ability of the Indian Diabetes Risk Score in the Evaluation of Diabetes Risk among Urban Adults of Raipur: A Cross-sectional Study.

Ekta Krishna, Anjali Pal, Abhiruchi Galhotra, Arvind Shukla, Madhusudan Prasad Singh, Vijay Kumar

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ekta KrishnaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Patna, Bihar, India.
Anjali PalDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Abhiruchi GalhotraDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Arvind ShuklaDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Madhusudan Prasad SinghDepartment of Pharmacology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Vijay KumarDepartment of Radiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Indian Diabetes Risk Score (IDRS) is a cost-effective and noninvasive screening tool that plays an important role in the early detection and risk-stratification of diabetes, and thus immediate referrals to health centers for further assessment and management of the individuals. Methods: The study involved 422 urban adults, aged 30 and older, who came under the field practice area of a tertiary hospital. Using a prevalidated questionnaire, data on sociodemographics, anthropometrics, physical measurement (like blood pressure), biochemical measurement (random blood sugar), and IDRS components were obtained. Univariate and multivariate logistic regression analyses were performed to identify the predictors. The cut-off for the risk score for undiagnosed diabetes risk assessment was evaluated using the area under the curve (AUC) and the receiver-operating characteristic (ROC). Results: The average age of participants in this study is 46.1 years (±11.8). Out of the total participants, 50.7% were females, while 49.3% were males. According to IDRS, 20.3% of participants were found to be at high risk of diabetes, 56.2% at moderate risk, and 23.5% at low risk. Among the factors that significantly predicted increased diabetes risk according to IDRS were age, high salt consumption, female gender, and higher body mass index. With a 0.68 AUC, the IDRS exhibited an 86.6% sensitivity at a cut-off value of ≥30 and a 28.1% specificity. The study observed maximum sensitivity (60.6%) and specificity (69.5%) at a cut-off of 45, as further shown by evaluating Youden's index (30.1%). Conclusions: With optimal performance at a cut-off of ≥45, the IDRS reasonably identified 76.5% of urban adults with moderate-to-high risk for diabetes. Integration of routine IDRS screening in primary healthcare in resource-limited settings, along with counseling on lifestyle modification, can increase its utility in risk stratification and referral.

Indexed as

diabetesDiabetes risk scoreROC curvescreening

Identifiers

PMID41451069
PMCPMC12735370

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.