Evidence map›Paper›PMID 34059526›Full record

ArticleBMJ open diabetes research & care2021

Trajectories in HbA1c and other risk factors among adults with type 1 diabetes by age at onset.

Jon Edqvist, Araz Rawshani, Aidin Rawshani, Martin Adiels, Stefan Franzén, Lena Bjorck, Ann-Marie Svensson, Marcus Lind, Naveed Sattar, Annika Rosengren

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 22 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

10 authors at 5 institutions in 3 countries.

Jon EdqvistDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden.ORCID 0000-0002-5407-6874
Araz RawshaniDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden.
Aidin RawshaniDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden.
Martin AdielsDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden.
Stefan FranzénNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Lena BjorckDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden.
Ann-Marie SvenssonNational Diabetes Register, Centre of Registers, Gothenburg, Sweden.
Marcus LindDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden.
Naveed SattarBHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland, UK.ORCID 0000-0002-1604-2593
Annika RosengrenDepartment of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg, Västra Götaland, Sweden annika.rosengren@gu.se.ORCID 0000-0002-5409-6605
Sahlgrenska University Hospital · SECentre of Registers Vastra Gotaland · SEBritish Heart Foundation · GBStatistics Austria · ATUddevalla sjukhus · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn type 1 diabetes, potential loss of life-years is greatest in those who are youngest at the time of onset. Using data from a nationwide cohort of patients with type 1 diabetes, we aimed to study risk factor trajectories by age at diagnosis. RESEARCH DESIGN AND

methodsWe stratified 30 005 patients with type 1 diabetes aged 18-75 years into categories based on age at onset: 0-10, 11-15, 16-20, 21-25, and 26-30 years. HbA1c, albuminuria, estimated glomerular filtration rate (eGFR), body mass index (BMI), low-denisty lipoprotein (LDL)-cholesterol, systolic blood pressure (SBP), and diastolic blood pressure trends were analyzed using mixed models. Variable importance for baseline HbA1c was analyzed using conditional random forest and gradient boosting machine approaches.

resultsIndividuals aged ≥16 years at onset displayed a relatively low mean HbA1c level (~55-57 mmol/mol) that gradually increased. In contrast, individuals diagnosed at ≤15 years old entered adulthood with a mean HbA1c of approximately 70 mmol/mol. For all groups, HbA1c levels stabilized at a mean of approximately 65 mmol/mol by about 40 years old. In patients who were young at the time of onset, albuminuria appeared at an earlier age, suggesting a more rapid decrease in eGFR, while there were no distinct differences in BMI, SBP, and LDL-cholesterol trajectories between groups. Low education, higher age, and poor risk factor control were associated with higher HbA1c levels.

conclusionsYoung age at the diabetes onset plays a substantial role in subsequent glycemic control and the presence of albuminuria, where patients with early onset may accrue a substantial glycemic load during this period.

Indexed as

Diabetes Mellitus, Type 1AdolescentAdultAge of OnsetAlbuminuriaGlycated HemoglobinHumansRisk FactorsGlycated Hemoglobinalbuminuriacardiovascular systemdiabetes mellitusglycated hemoglobin Atype 1

Identifiers

PMID34059526
PMCPMC8169495
OpenAlexW3164754396

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.