Evidence map›Paper›PMID 43012977›Full record

ReviewActa diabetologica2026

Association between data-driven diabetes subtypes and kidney, cardiovascular, and all-cause mortality outcomes in adults: a systematic review and meta-analysis.

Sidar Copur, Mehmet Kanbay, Rama AlShiab, Mahmoud Jarrar, Abdullah Nasir, Ermeena Shah, Lasin Ozbek, Mustafa Guldan, Francesca Mallamaci, Carmine Zoccali

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Review in Acta diabetologica, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sidar CopurDepartment of Medicine, Division of Nephrology, Koc University School of Medicine, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-0190-2746
Mehmet KanbayDepartment of Medicine, Division of Nephrology, Koc University School of Medicine, Istanbul, Turkey. mkanbay@ku.edu.tr.
Rama AlShiabDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Mahmoud JarrarDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Abdullah NasirDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Ermeena ShahDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Lasin OzbekDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Mustafa GuldanDepartment of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Francesca MallamaciAssociazione Ipertensione, Nefrologia Trapianto (IPNET), C/O Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy.
Carmine ZoccaliAssociazione Ipertensione, Nefrologia Trapianto (IPNET), C/O Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsData-driven clustering has identified reproducible diabetes subtypes with distinct metabolic profiles and complication risks. However, their incremental prognostic value and clinical utility beyond conventional risk assessment remain uncertain. We conducted a systematic review and meta-analysis to evaluate associations between diabetes subtypes and long-term clinical outcomes in adults.

methodsPubMed/MEDLINE, Scopus, Web of Science, and the Cochrane Library were searched from inception through February 25, 2026, with an updated targeted literature search and citation/reference screening performed through August 2026. Observational cohort studies classifying adults with diabetes using data-driven clustering and reporting longitudinal kidney, cardiovascular, or mortality outcomes were included. Random-effects meta-analyses pooled study-reported hazard ratios (HRs), and narrative synthesis was conducted when pooling was not possible due to differences in comparator subtype, outcome definitions, or clustering frameworks.

resultsThirty-four eligible study reports were included; 12 contributed to quantitative synthesis and 22 were synthesized narratively. Because several reports drew on overlapping source cohorts, a unique review-wide participant total was not calculated. Compared with mild age-related diabetes (MARD), severe insulin-resistant diabetes (SIRD) demonstrated the strongest associations with kidney outcomes, including CKD stage ≥3 (HR 1.84; 95% CI 1.53-2.20), advanced CKD (HR 2.34; 95% CI 1.84-2.99), ESKD (HR 3.83; 95% CI 2.47-5.93), and incident macroalbuminuria (HR 2.08; 95% CI 1.39-3.12). Severe insulin-deficient diabetes (SIDD) was also associated with increased kidney risk. Cardiovascular associations were more heterogeneous, although SIDD was associated with increased cardiovascular mortality compared with mild obesity-related diabetes (MOD) (HR 1.89; 95% CI 1.37-2.62). In an exploratory two-study analysis using MOD as the reference subtype, both SIRD (HR 2.05; 95% CI 1.46-2.87) and SIDD (HR 2.04; 95% CI 1.25-3.32) were associated with increased all-cause mortality.

conclusionsData-driven diabetes subtypes are associated with differences in kidney, cardiovascular, and mortality risk, with the most consistent associations observed for SIRD and kidney outcomes. Whether subtype classification improves prediction or clinical decision-making beyond conventional risk factors remains uncertain. PROSPERO REGISTRATION NUMBER: CRD420261299731.

Indexed as

All-cause mortalityCardiovascular outcomesChronic kidney diseaseCluster analysisData-driven diabetes subtypesDiabetic kidney diseaseKidney outcomes

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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.