ArticleDiabetologia2023
Identifying blood biomarkers for type 2 diabetes subtyping: a report from the ORIGIN trial.
Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00069784 (A Multicenter, International Randomized, 2x2 Factorial Design Study to Evaluate the Effects of Lantus), which is not on this map. Cited by 2 papers.
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.
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.
A Multicenter, International Randomized, 2x2 Factorial Design Study to Evaluate the Effects of Lantus (Insulin Glargine) Versus Standard Care, and of Omega-3 Fatty Acids Versus Placebo, in Reducing Cardiovascular Morbidity and Mortality in High Risk People With Impaired Fasting Glucose (IFG), Impaired Glucose Tolerance (IGT) or Early Type 2 Diabetes Mellitus: The ORIGIN Trial (Outcome Reduction With Initial Glargine Intervention)
Who cites it
2 citing papers in PubMed, 10 citations in OpenAlex.
- Distinct multi-omics signatures of clinical subgroups of type 2 diabetes define heterogeneous responses to an insulin sensitizer.Nature communications · 2026Article
- Harnessing the power of proteomics in precision diabetes medicine.Diabetologia · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisIndividuals with diabetes can be clustered into five subtypes using up to six routinely measured clinical variables. We hypothesised that circulating protein levels might be used to distinguish between these subtypes. We recently used five of these six variables to categorise 7017 participants from the Outcome Reduction with an Initial Glargine Intervention (ORIGIN) trial into these subtypes: severe autoimmune diabetes (SAID, n=241), severe insulin-deficient diabetes (SIDD, n=1594), severe insulin-resistant diabetes (SIRD, n=914), mild obesity-related diabetes (MOD, n=1595) and mild age-related diabetes (MARD, n=2673).
methodsForward-selection logistic regression models were used to identify a subset of 233 cardiometabolic protein biomarkers that were independent determinants of one subtype vs the others. We then assessed the performance of adding identified biomarkers (one after one, from the most discriminant to the least) to predict each subtype vs the others using area under the receiver operating characteristic curve (AUC ROC). Models were adjusted for age, sex, ethnicity, C-peptide level, diabetes duration and glucose-lowering medication usage at blood collection.
resultsA total of 25 biomarkers were independent determinants of subtypes, including 13 for SIDD, 2 for SIRD, 7 for MOD and 11 for MARD (all p<4.3 × 10 CONCLUSIONS/
interpretationWe identified 25 serum biomarkers, as independent determinants of type 2 diabetes subtypes, that could be combined into a diagnostic test for subtyping.
trial registrationORIGIN trial, ClinicalTrials.gov NCT00069784.
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