Evidence map›Paper›PMID 28258467›Full record

ArticleJournal of immigrant and minority health2018

Diabetes in Immigrant Tibetan Muslims in Kashmir, North India.

Mirza Shohiab Ur Riyaz, Majid Khalil Rather, Parvaiz A Koul

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In one paragraph

Article in Journal of immigrant and minority health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
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

3 authors at 1 institution in 1 country.

Mirza Shohiab Ur RiyazDepartment of Internal and Pulmonary Medicine, Sheri Kashmir Institute of Medical Sciences, Srinagar, 190011, J&K, India.
Majid Khalil RatherDepartment of Internal and Pulmonary Medicine, Sheri Kashmir Institute of Medical Sciences, Srinagar, 190011, J&K, India.
Parvaiz A KoulDepartment of Internal and Pulmonary Medicine, Sheri Kashmir Institute of Medical Sciences, Srinagar, 190011, J&K, India. parvaizk@gmail.com.ORCID http://orcid.org/0000-0002-1700-9285
Sher-i-Kashmir Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tibetan Muslims have migrated from Lhasa (3000 m altitude) to Srinagar, India (altitude 1500 m) about 55 years back. We set out to study the prevalence of diabetes and prediabetes among this immigrant population. All consenting adults aged ≥18 years were questioned about a previous history of diabetes or any other medical history. Anthropometric data were recorded. Fasting blood glucose was measured in duplicate by Accu-check glucometer and HbA1C levels were measured. Of the 281 participants, 26 (9.25%) had diabetes whereas 46 (16.4%) had pre-diabetes; 24 reporting doctor-diagnosed diabetes. Participants with diabetes/pre-diabetes were more likely to be obese, smokers and hypertensive. Multiple logistic regression analysis revealed age to be significantly associated with a higher prevalence of diabetes. One in four adults ≥18 years among Tibetan Muslims have diabetes or prediabetes. Migration to lower altitude could have contributed to this high prevalence.

Indexed as

Abdominal FatAdolescentAdultAgedAged, 80 and overBlood GlucoseBody Weights and MeasuresCross-Sectional StudiesDiabetes Mellitus, Type 2Emigrants and ImmigrantsFemaleGlycated HemoglobinHumansIndiaIslamLogistic ModelsBlood GlucoseGlycated HemoglobinDiabetesHigh altitudePre-diabetesTibetans

Identifiers

PMID28258467
OpenAlexW2594119327

What OpenQuestion holds

Textmetadata
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.