Evidence map›Paper›PMID 21442339›Full record

ArticleJournal of community health2011

Maternal effect and familial aggregation in a type 2 diabetic Moroccan population.

Houda Benrahma, Imen Arfa, Majida Charif, Safaa Bounaceur, Abdelmajid Eloualid, Redouane Boulouiz, Halima Nahili, Omar Abidi, Hassan Rouba, Asmaa Chadli and 4 more

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Article in Journal of community health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  7. Cross-Sectional Survey of Mental Health Risk Factors and Comparison of theInternational journal of environmental research and public health · 2019
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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

14 authors.

Houda BenrahmaLaboratoire de Génétique Moléculaire et Humaine, Département de Recherche Scientifique, Institut Pasteur, 1 Place Louis Pasteur, 20360, Casablanca, Morocco. benrahmahouda@yahoo.fr
Imen Arfa
Majida Charif
Safaa Bounaceur
Abdelmajid Eloualid
Redouane Boulouiz
Halima Nahili
Omar Abidi
Hassan Rouba
Asmaa Chadli
Mounia Oudghiri
Ahmed Farouqui
Sonia Abdelhak
Abdelhamid Barakat

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to evaluate the degree of familial aggregation of type 2 diabetes mellitus in Morocco and to investigate transmission patterns of the disease and their relationships with patients' clinical profiles. Family history of diabetes and clinical data were collected from 232 unrelated type 2 diabetic Moroccan patients. Diabetes status was recorded for first degree (parents, siblings) and second degree relatives (aunts and uncles from both maternal and paternal sides). Among studied subjects, 50% reported at least one relative with diabetes and 24% had at least one parent with diabetes. Familial aggregation of type 2 diabetes was prominent and more important among first degree relatives than second degree relatives (P < 0.01). Moreover, diabetes was more frequent among mothers than fathers of probands (P = 0.02), but this maternal effect was not observed in second degree relatives. There are no significant differences in clinical and metabolic profiles between patients according to the transmission pattern of the disease. In conclusion, these results suggest familial aggregation and excess maternal transmission of type 2 diabetes in the Moroccan studied population.

Indexed as

Genomic ImprintingAge of OnsetBody Mass IndexDiabetes Mellitus, Type 2FamilyFathersFemaleHumansMaleMiddle AgedMoroccoMothersPedigreePrevalenceSex Factors

Identifiers

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.