Evidence map›Paper›PMID 30899673›Full record

ArticleJournal of clinical & translational endocrinology2019

Gestational diabetes mellitus and macrosomia predispose to diabetes in the Lebanese population.

Michella Ghassibe-Sabbagh, Zeina Mehanna, Layal Abi Farraj, Angelique K Salloum, Pierre A Zalloua

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical & translational endocrinology, 2019. 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
2.2field-weighted citation impact, top 13% 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, 14 citations in OpenAlex.

  1. Article
  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

5 authors at 2 institutions in 2 countries.

Michella Ghassibe-SabbaghDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon.
Zeina MehannaDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon.
Layal Abi FarrajDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon.
Angelique K SalloumSchool of Medicine, Lebanese American University, Beirut, Lebanon.
Pierre A ZallouaSchool of Medicine, Lebanese American University, Beirut, Lebanon.
Lebanese American University · LBHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe Middle East has the fastest rising rate of Type 2 Diabetes Mellitus (T2DM) worldwide, with Lebanon having 15.8% of its population affected. This study aims at studying Polycystic Ovarian Syndrome (PCOS), Gestational Diabetes Mellitus (GDM), and macrosomia as risk factors of T2DM in Lebanon. Such epidemiological and statistical study has never been conducted before in the Middle East region and would be useful for clinical diagnosis.

methodsOur cohort is comprised of 1453 Lebanese individuals, with 897 controls and 556 patients. We tested the correlation between T2DM and the covariates GDM, PCOS, and macrosomia independently. We conducted multinomial logistic regression and cross tabulations with T2DM as an outcome.

resultsThe results showed a significant association of the independent factors GDM and macrosomia with T2DM. The risk of having T2DM was increased by 4.192 times with the GDM, and by 2.315 times with macrosomia respectively.

conclusionIn conclusion, GDM and macrosomia, but not PCOS, are significant risk factors for T2DM in our Lebanese cohort. Our results, reported for the first time in the Middle East, present insights into risk factors management and disease prevention.

Indexed as

Gestational diabetes mellitusLebanese populationMacrosomiaPolycystic ovarian syndromeType 2 diabetes mellitus

Identifiers

PMID30899673
PMCPMC6406007
OpenAlexW2915563140

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.