Evidence map›Paper›PMID 34733051›Full record

ArticleAnnals of neurosciences2021

A Prospective Study on Type-2 Diabetic Complications and Efficacy of Integrated Yoga: A Pan India 2017.

Suchitra S Patil, Nagarathna Raghuram, Amit Singh, S K Rajesh, Sabzar Ahmed, Nagendra Hongasandra

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Article in Annals of neurosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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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 1 institution in 1 country.

Suchitra S PatilDepartment of Yoga and Life Science, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, Karnataka, India.
Nagarathna RaghuramDepartment of Yoga and Life Science, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, Karnataka, India.
Amit SinghDepartment of Yoga and Life Science, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, Karnataka, India.
S K RajeshDepartment of Yoga and Physical Science, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, Karnataka, India.
Sabzar AhmedDepartment of Yoga and Life Science, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, Karnataka, India.
Nagendra HongasandraDepartment of Yoga and Life Science, Swami Vivekananda Yoga Anusandhana Samsthana, Bengaluru, Karnataka, India.
Swami Vivekananda Yoga Anusandhana Samsthana · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes (T2DM) contributes to high mortality and morbidity because of its major complications related to kidney, heart, brain, and eyes. It also poses a high risk for mortality because of COVID-19. Studies suggest the possible implications of Yoga in delaying or attenuating such complications. METHODOLOGY: This was a pan-India multi centered cluster-randomized (4 level) two-armed trial in the rural and urban population of all populous states of India. Data were obtained using mobile app in all adults in the household of the selected clusters.

resultsWe report the diabetes related complications in 16623 adults (48% males, 52% females) from 65 districts (1 in 10 districts, 2011 census) of 29 (out of 35) states and Union Territories of India; mean age was 48.2 ± 12.46 years. Out of this 40% lived in rural and 62% in urban locations. In high risk diabetes individuals (scored ≥ 60 points on Indian diabetes risk score key), 18.0% had self-reported history of (peripheral neuropathy, 6.1% had h/o major strokes, 5.5% had minor strokes (transient ischemic episodes), 18.1% had lower limb claudication, 20.5% leg ulcers, 4.4% had h/o cardiac surgery, 4.8% angioplasty, and 15.1% had diabetes retinopathy. Complications were higher in rural than in urban areas, higher in people with extended duration of diabetes. Integrated yoga module for three months (one hour daily) showed significantly better reduction in symptoms related to complications as compared to control group (

conclusionThe alarming high prevalence of complications in diabetes population calls for urgent action, where yoga may show the benefits in reduction of symptoms of complications.

Indexed as

ComplicationsHigh-risk diabetesPrevalence of known and newly diagnosed diabetesYoga

Identifiers

PMID34733051
PMCPMC8558979
OpenAlexW3203740764

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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.