Evidence map›Paper›PMID 39260863›Full record

Observational studyBMJ open2024

Ten years trajectories of estimated glomerular filtration rate (eGFR) in a multiethnic cohort of people with type 1 diabetes and preserved renal function.

Salma Ayis, Anastasios Mangelis, Nikolaos Fountoulakis, Julian Collins, Thamer S Alobaid, Luigi Gnudi, David Hopkins, Prashanth Vas, Stephen Thomas, Aicha Goubar and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Salma AyisPopulation Health Sciences, King's College London, London, UK salma.ayis@kcl.ac.uk.ORCID 0000-0002-0449-869X
Anastasios MangelisPopulation Health Sciences, King's College London, London, UK.
Nikolaos FountoulakisKing's Health Partners and School of Cardiovascular Medicine & Sciences, King's College London, London, UK.
Julian CollinsKing's College Hospital NHS Trust, King's College London, London, UK.
Thamer S AlobaidPopulation Health Sciences, King's College London, London, UK.
Luigi GnudiKing's Health Partners and King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King's College London, London, UK.
David HopkinsKing's College Hospital NHS Foundation Trust / King's Health Partners, King's College London, London, UK.
Prashanth VasDiabetes and Endocrinology, King's College Hospital NHS Foundation Trust, London, UK.
Stephen ThomasGuy's and St Thomas' NHS Trust, King's Health Partners, London, UK.
Aicha GoubarPopulation Health Sciences, King's College London, London, UK.
Janaka KarallieddeKing's Health Partners and King's College London British Heart Foundation Centre of Excellence, School of Cardiovascular & Metabolic Medicine and Sciences, King's College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aim to evaluate estimated glomerular filtration rate (eGFR) patterns of progression in a multiethnic cohort of people with type I diabetes mellitus and with baseline eGFR ≥45 mL/min/1.73 m

designObservational cohort.

settingPeople with a clinical diagnosis of type 1 diabetes, attending two university hospital-based outpatient diabetes clinics, in South London between 2004 and 2018.

participantsWe studied 1495 participants (52% females, 81% white, 12% African-Caribbean and 7% others). PRIMARY AND SECONDARY OUTCOME MEASURES: Clinical measures including weight and height, systolic blood pressure, diastolic blood pressure and laboratory results (such as serum creatinine, urine albumin to creatinine ratio (ACR), HbA1c were collected from electronic health records (EHRs) and eGFR was estimated by the Chronic Kidney Disease-Epidemiology Collaboration. Ethnicity was self-reported.

resultsFive predominantly linear patterns/groups of eGFR trajectories were identified. Group I (8.5%) had a fast eGFR decline (>3 mL/min/1.73 m

conclusionsDistinct trajectories of eGFR were observed in people with type 1 diabetes. The group with the highest risk of eGFR decline had a greater proportion of African-Caribbeans compared with others and has higher prevalence of traditional modifiable risk factors for kidney disease.

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesGlomerular Filtration RateAdultCohort StudiesCreatinineDisease ProgressionEthnicityFemaleGlycated HemoglobinHumansLondonMaleMiddle AgedCreatinineGlycated HemoglobinDIABETES & ENDOCRINOLOGYEDUCATION & TRAINING (see Medical Education & Training)EPIDEMIOLOGIC STUDIESSTATISTICS & RESEARCH METHODS

Identifiers

PMID39260863
PMCPMC11409247

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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.