Evidence map›Paper›PMID 24498483›Full record

ArticleOman medical journal2014

Familial Clustering of Type 2 Diabetes among Omanis.

Sawsan Al-Sinani, Mohammed Al-Shafaee, Ali Al-Mamari, Nicholas Woodhouse, Omaima Al-Shafie, Mohammed Hassan, Said Al-Yahyaee, Sulayma Albarwani, Deepali Jaju, Khamis Al-Hashmi and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oman medical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes.International journal of molecular sciences · 2025
    Article
  3. Review
  4. Analytical Data Review to Determine the Factors Impacting Risk of Diabetes in North Al-Batinah Region, Oman.International journal of environmental research and public health · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

13 authors at 1 institution in 1 country.

Sawsan Al-SinaniCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Mohammed Al-ShafaeeCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Ali Al-MamariCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Nicholas WoodhouseCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Omaima Al-ShafieCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Mohammed HassanCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Said Al-YahyaeeCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Sulayma AlbarwaniCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Deepali JajuCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Khamis Al-HashmiCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Mohammed Al-AbriCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Syed RizviCollege of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman.
Riad BayoumiDepartment of Biochemistry, College of Medicine & Health Sciences, Sultan Qaboos University P.O. Box-35, Postal Code 123, Muscat, Sultanate of Oman.
Sultan Qaboos University · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to screen Omani individuals for the familial aggregation of type 2 diabetes mellitus.

methodsA random cohort of 1182 Omani individuals visiting the Family Medicine Clinic at Sultan Qaboos University Hospital (SQUH), Muscat, Oman, for regular medical checkup, aged ≥40 years, were sampled. Patients were categorized into three groups: (1) individuals who claim not to have diabetes and had no family history of diabetes; (2) individuals who claim not to have diabetes but had family history of diabetes; (3) individuals with diabetes. Only 16% of these Omani individuals had no diabetes and no family history of diabetes. Another separate random cohort of 234 Omani type 2 diabetes mellitus patients, from the Diabetes Clinic at SQUH, were interviewed and questioned about their family history of type 2 diabetes mellitus.

resultsNinety five percent of the patients had a family history of diabetes. Eighty percent had first degree relatives with diabetes and 46% had second degree relatives with diabetes. At least one parent with diabetes was reported among 55% of these diabetics, while maternal diabetes (55%) was found to be higher than paternal diabetes (47%). However, only 15% had both parents with diabetes. Furthermore, almost half of the 234 diabetics were having at least one of the following relatives with diabetes: brother, sister, aunt or an uncle.

conclusionThe findings of this study confirm familial aggregation of diabetes among the Omani population. Compared to other populations, familial aggregation of type 2 diabetes mellitus among Omanis is relatively very high, and is perhaps due to the very high degree of consanguinity among Omanis. Since almost everyone seems to have a genetic predisposition to diabetes, the dramatic lifestyle changes over the past 25 years, could tip the population into an epidemic of type 2 diabetes mellitus.

Indexed as

Family clusteringOmanType 2 diabetes mellitus

Identifiers

PMID24498483
PMCPMC3910414
OpenAlexW2129053536

What OpenQuestion holds

Textmetadata
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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.