Evidence map›Paper›PMID 34761038›Full record

ArticleJournal of education and health promotion2021

Prevalence and predictors of depression in type 2 diabetes mellitus.

Ravi Kant, Poonam Yadav, Shruti Barnwal, Vishal Dhiman, Bruzily Abraham, Kanchan Gawande

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of education and health promotion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A machine learning-based framework for predicting type 2 diabetes mellitus using hematological indices.American heart journal plus : cardiology research and practice · 2026
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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

6 authors at 2 institutions in 1 country.

Ravi KantDepartment of Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Poonam YadavCollege of Nursing, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Shruti BarnwalDepartment of Dermatology, Government Doon Medical College, Dehradun, Uttarakhand, India.
Vishal DhimanDepartment of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Bruzily AbrahamDepartment of Psychiatry, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Kanchan GawandeDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
All India Institute of Medical Sciences Rishikesh · INDoon University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (DM) is a multifactorial disease and can be described as a noncommunicable disease of epidemic magnitude. Little is known about the predictors of depression in this population, especially among the Indian population. This study explores the predictors for depression in patients with type 2 DM. MATERIALS AND

methodsA cross-sectional study was performed for a period of 7 months during 2018-2019. The data were collected from 250 subjects at the diabetic clinic and psychiatry outpatient department of a tertiary care teaching hospital. T2DM with an age group of 18-60 years were included. Exclusion criteria were clinical evidence of any significant Axis I psychiatric disorder according to the International Classification of Diseases-10 Diagnostic Criteria for Research other than depression and substance use disorders. Data were analyzed with multiple linear regression analysis using SPSS-23 version.

resultsMale and female patients were 127 (50.80%) and 123 (49.20%), respectively. The prevalence of depression was 49.20% among 250 patients with T2DM. Female patients had higher depression than male patients. We found age (

conclusionsThe study concludes that females and elderly patients were more affected by depression. The predictors of depression were age, gender, locality, BMI, and FBS among diabetic patients. The findings indicate to screen the patients of T2DM for depression, predominantly female and elderly patients, at regular intervals as per clinical demand.

Indexed as

Agebody mass indexdepressiondiabetesgenderpredictorsprevalence

Identifiers

PMID34761038
PMCPMC8552283
OpenAlexW3204575506

What OpenQuestion holds

Textmetadata
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.