Evidence map›Paper›PMID 37707702›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2023

A Longitudinal Clinical Trajectory Analysis Examining the Accumulation of Co-morbidity in People with Type 2 Diabetes (T2D) Compared with Non-T2D Individuals.

Adrian Heald, Rui Qin, Richard Williams, John Warner-Levy, Ram Prakash Narayanan, Israel Fernandez, Yonghong Peng, J Martin Gibson, Kevin McCay, Simon G Anderson and 1 more

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 6 institutions in 3 countries.

Adrian HealdDepartment of Diabetes and Endocrinology, Salford Royal Hospital, Salford Royal NHS Foundation Trust, Salford, UK. adrian.heald@manchester.ac.uk.ORCID http://orcid.org/0000-0002-9537-4050
Rui QinFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
Richard WilliamsDivision of Informatics, Imaging and Data Science, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
John Warner-LevyDepartment of Diabetes and Endocrinology, Salford Royal Hospital, Salford Royal NHS Foundation Trust, Salford, UK.
Ram Prakash NarayananSt Helens and Knowsley Teaching Hospitals NHS Trust, St Helens, UK.
Israel FernandezStroke Pharmacogenomics and Genetics, Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain.
Yonghong PengFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
J Martin GibsonDepartment of Diabetes and Endocrinology, Salford Royal Hospital, Salford Royal NHS Foundation Trust, Salford, UK.
Kevin McCayFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
Simon G AndersonUniversity of the West Indies, Cave Hill Campus, Bridgetown, Barbados.
William OllierFaculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK.
Manchester Metropolitan University · GBManchester Academic Health Science Centre · GBHospital de Sant Pau · ESSalford Royal NHS Foundation Trust · GBSt Helens and Knowsley Teaching Hospitals NHS Trust · GBUniversity of the West Indies · BB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2D) is commonly associated with an increasing complexity of multimorbidity. While some progress has been made in identifying genetic and non-genetic risk factors for T2D, understanding the longitudinal clinical history of individuals before/after T2D diagnosis may provide additional insights.

methodsIn this study, we utilised longitudinal data from the DARE (Diabetes Alliance for Research in England) study to examine the trajectory of clinical conditions in individuals with and without T2D. Data from 1932 individuals (T2D n = 1196 vs. matched non-T2D controls n = 736) were extracted and subjected to trajectory analysis over a period of up to 50 years (25 years pre-diagnosis/25 years post-diagnosis). We also analysed the cumulative proportion of people with diagnosed coronary artery disease (CAD) in their general practice (GP) record with an analysis of lower respiratory tract infection (RTI) as a comparator group.

resultsThe mean age of diagnosis of T2D was 52.6 (95% confidence interval 52.0-53.4) years. In the years leading up to T2D diagnosis, individuals who eventually received a T2D diagnosis consistently exhibited a considerable increase in several clinical phenotypes. Additionally, immediately prior to T2D diagnosis, a significantly greater prevalence of hypertension (35%)/RTI (34%)/heart conditions (17%)/eye, nose, throat infection (19%) and asthma (12%) were observed. The corresponding trajectory of each of these conditions was much less dramatic in the matched controls. Post-T2D diagnosis, proportions of T2D individuals exhibiting hypertension/chronic kidney disease/retinopathy/infections climbed rapidly before plateauing. At the last follow-up by quintile of disadvantage, the proportion (%) of people with diagnosed CAD was 6.4% for quintile 1 (least disadvantaged) and 11% for quintile 5 (F = 3.4, p = 0.01 for the difference between quintiles).

conclusionThese findings provide novel insights into the onset/natural progression of T2D, suggesting an early phase of inflammation-related disease activity before any clinical diagnosis of T2D is made. Measures that reduce social inequality have the potential in the longer term to reduce the social gradient in health outcomes reported here.

Indexed as

DARE cohortLongitudinalMulti-morbidityType 2 Diabetes

Identifiers

PMID37707702
PMCPMC10570249
OpenAlexW4386726770

What OpenQuestion holds

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LicenceCC BY-NC
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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.