Evidence map›Paper›PMID 26681293›Full record

ArticleJournal of epidemiology and community health2016

Socioeconomic status, comorbidity and mortality in patients with type 2 diabetes mellitus in Scotland 2004-2011: a cohort study.

Jeremy Walker, Nynke Halbesma, Nazir Lone, David McAllister, Christopher J Weir, Sarah H Wild, Scottish Diabetes Research Network Epidemiology Group

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Article in Journal of epidemiology and community health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

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  16. Social disparities in diabetes care: a general population study in Denmark.Scandinavian journal of primary health care · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Jeremy WalkerCentre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.
Nynke HalbesmaCentre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.
Nazir LoneCentre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.
David McAllisterCentre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.
Christopher J WeirCentre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.
Sarah H WildCentre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK.
Scottish Diabetes Research Network Epidemiology Group

Funding

Chief Scientist Office CZH/4/922
6 · The paper itself

Abstract

backgroundMortality in people with and without diabetes often exhibits marked social patterning, risk of death being greater in deprived groups. This may reflect deprivation-related differences in comorbid disease (conditions additional to diabetes itself). This study sought to determine whether the social patterning of mortality in a population with type 2 diabetes mellitus (T2DM) is explained by differential comorbidity.

methodsHospital records for 70 197 men and 56 451 women diagnosed with T2DM at 25 years of age and above in Scotland during the period 2004-2011 were used to construct comorbidity histories. Sex-specific logistic models were fitted to predict mortality at 1 year after diagnosis with T2DM, predicted initially by age and socioeconomic status (SES) then extended to incorporate in turn 5 representations of comorbidity (including the Charlson Index). The capacity of comorbidity to explain social mortality gradients was assessed by observing the change in regression coefficients for SES following the addition of comorbidity.

resultsAfter adjustment for age and Charlson Index, the OR for the contrast between the least deprived and most deprived quintiles of SES for men was 0.79 (95% CI 0.67 to 0.94). For women, the OR was 0.81 (0.67 to 0.97). Similar results were obtained for the 4 other comorbidity measures used.

conclusionsThe social patterning of mortality in people with T2DM is not fully explained by differing levels of comorbid disease additional to T2DM itself. Other dimensions of deprivation are implicated in the elevated death rates observed in deprived groups of people with T2DM.

Indexed as

ComorbiditySocial ClassDiabetes Mellitus, Type 2HumansMalePopulation SurveillancePrevalenceScotlandDEPRIVATIONDIABETESEPIDEMIOLOGY

Identifiers

PMID26681293
PMCPMC4893140

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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.