Evidence mapPaperPMID 39899304Full record

SynthesisJAMA2025

Age and Sex Differences in Efficacy of Treatments for Type 2 Diabetes: A Network Meta-Analysis.

Peter Hanlon, Elaine Butterly, Lili Wei, Heather Wightman, Saleh Ali M Almazam, Khalid Alsallumi, Jamie Crowther, Ryan McChrystal, Heidi Rennison, Katherine Hughes and 12 more

Abstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in JAMA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
field-weighted citation impact
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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Tailoring cardiovascular risk prediction to females.The Journal of endocrinology · 2025
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
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

22 authors.

Peter HanlonSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Elaine ButterlySchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Lili WeiSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Heather WightmanSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Saleh Ali M AlmazamSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Khalid AlsallumiSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Jamie CrowtherSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Ryan McChrystalSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Heidi RennisonSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Katherine HughesDepartment of Diabetes, Glasgow Royal Infirmary, NHS of Greater Glasgow and Clyde, Glasgow, Scotland.
Jim LewseySchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Robert LindsayBHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland.
Stuart McGurnaghanInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland.
John PetrieSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.
Laurie A TomlinsonEpidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, England.
Sarah WildUsher Institute, University of Edinburgh, Edinburgh, Scotland.
Amanda AdlerDiabetes Trials Unit, University of Oxford, Oxford, England.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland.
David M PhillippoPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, England.
Sofia DiasCentre for Reviews and Dissemination, University of York, York, England.
Nicky J WeltonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, England.
David A McAllisterSchool of Health and Wellbeing, University of Glasgow, Glasgow, Scotland.

Funding

Medical Research Council MR/W016648/1
6 · The paper itself

Abstract

Importance: Sodium-glucose cotransporter 2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and dipeptidyl peptidase 4 (DPP4) inhibitors improve hyperglycemia, and SGLT2 inhibitors and GLP-1 receptor agonists reduce the risk of major adverse cardiovascular events (MACEs) among individuals with type 2 diabetes. It is not clear whether efficacy varies by age or sex. Objective: To assess whether age or sex are associated with differences in the efficacy of SGLT2 inhibitors, GLP-1 receptor agonists, and DPP4 inhibitors. Data Sources and Study Selection: The MEDLINE and Embase databases and US and Chinese clinical trial registries were searched for articles published from inception to November 2022; in August 2024, the search was updated to capture the trial results. Two reviewers screened for randomized clinical trials of SGLT2 inhibitors, GLP-1 receptor agonists, or DPP4 inhibitors vs a placebo or active comparator in adults with type 2 diabetes. Data Extraction and Synthesis: Individual participant data and aggregate data were used to estimate age × treatment interactions and sex × treatment interactions in multilevel network meta-regression models. Main Outcome and Measures: Hemoglobin A1c (HbA1c) and MACEs. Results: Of the 601 eligible trials identified (592 trials with 309 503 participants reported HbA1c; mean age, 58.9 [SD, 10.8] years; 42.3% were female and 23 trials with 168 489 participants reported MACEs; mean age, 64.0 [SD, 8.6] years; 35.3% were female), individual participant data were obtained for 103 trials (103 reported HbA1c and 6 reported MACEs). The use of SGLT2 inhibitors (vs placebo) was associated with less HbA1c lowering with increasing age for monotherapy (absolute reduction [AR], 0.24% [95% credible interval {CrI}, 0.10% to 0.38%] per 30-year increment in age), for dual therapy (AR, 0.17% [95% CrI, 0.10% to 0.24%]), and for triple therapy (AR, 0.25% [95% CrI, 0.20% to 0.30%]). The use of GLP-1 receptor agonists was associated with greater HbA1c lowering with increasing age for monotherapy (AR, -0.18% [95% CrI, -0.31% to -0.05%] per 30-year increment in age) and for dual therapy (AR, -0.24% [95% CrI, -0.40% to -0.07%]), but not for triple therapy (AR, 0.04% [95% CrI, -0.02% to 0.11%]). The use of DPP4 inhibitors was associated with slightly better HbA1c lowering in older people for dual therapy (AR, -0.09% [95% CrI, -0.15% to -0.03%] per 30-year increment in age), but not for monotherapy (AR, -0.08% [95% CrI, -0.18% to 0.01%]) or triple therapy (AR, -0.01% [95% CrI, -0.06% to 0.05%]). The relative reduction in MACEs with use of SGLT2 inhibitors was greater in older vs younger participants per 30-year increment in age (hazard ratio, 0.76 [95% CrI, 0.62 to 0.93]), and the relative reduction in MACEs with use of GLP-1 receptor agonists was less in older vs younger participants (hazard ratio, 1.47 [95% CrI, 1.07 to 2.02]). There was no consistent evidence for sex × treatment interactions with use of SGLT2 inhibitors and GLP-1 receptor agonists. Conclusions and Relevance: The SGLT2 inhibitors and GLP-1 receptor agonists were associated with lower risk of MACEs. Analysis of age × treatment interactions suggested that SGLT2 inhibitors were more cardioprotective in older than in younger people despite smaller reductions in HbA1c; GLP-1 receptor agonists were more cardioprotective in younger people.

Indexed as

Diabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsSodium-Glucose Transporter 2 InhibitorsAdultAgedAged, 80 and overAge FactorsCardiovascular DiseasesDrug Therapy, CombinationFemaleGlycated HemoglobinGlycemic ControlHumansIncidenceMaleDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsGlycated HemoglobinSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID39899304
PMCPMC11791772

What Socratic 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 Socratic graph.