Evidence map›Paper›PMID 34189591›Full record

ReviewDiabetologia2021

Social networks and type 2 diabetes: a narrative review.

Miranda T Schram, Willem J J Assendelft, Theo G van Tilburg, Nicole H T M Dukers-Muijrers

Abstract readReview
In one paragraph

Review in Diabetologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

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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

4 authors.

Miranda T SchramDepartment of Internal Medicine, Heart and Vascular Center, Maastricht University Medical Center+, School for Cardiovascular Diseases (CARIM), Maastricht University, Maastricht, the Netherlands. m.schram@maastrichtuniversity.nl.ORCID 0000-0001-8113-7604
Willem J J AssendelftDepartment of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands.ORCID 0000-0002-2966-3778
Theo G van TilburgDepartment of Sociology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-1005-6732
Nicole H T M Dukers-MuijrersDepartment of Sexual Health, Infectious Diseases and Environmental Health, Public Health Service South Limburg, Heerlen, the Netherlands.ORCID 0000-0003-4896-758X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been known for decades that social networks are causally related to disease and mortality risk. However, this field of research and its potential for implementation into diabetes care is still in its infancy. In this narrative review, we aim to address the state-of-the-art of social network research in type 2 diabetes prevention and care. Despite the diverse nature and heterogeneity of social network assessments, we can draw valuable lessons from the available studies. First, the structural network variable 'living alone' and the functional network variable 'lack of social support' have been associated with increased type 2 diabetes risk. The latter association may be modified by lifestyle risk factors, such as obesity, low level of physical activity and unhealthy diet. Second, smaller network size and less social support is associated with increased risk of diabetes complications, particularly chronic kidney disease and CHD. Third, current evidence shows a beneficial impact of social support on diabetes self-management. In addition, social support interventions were found to have a small, favourable effect on HbA

Indexed as

Diabetes Mellitus, Type 2ExerciseHumansLife StyleSocial NetworkingSocial SupportDiabetes complicationsDiabetes managementLiving alonePreventionReviewSocial networksSocial supportType 2 diabetes

Identifiers

PMID34189591
PMCPMC8241411

What OpenQuestion holds

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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.