Evidence mapPaperPMID 40193407Full record

ArticlePLoS medicine2025

Frailty in randomized controlled trials of glucose-lowering therapies for type 2 diabetes: An individual participant data meta-analysis of frailty prevalence, treatment efficacy, and adverse events.

Heather Wightman, Elaine Butterly, Lili Wei, Ryan McChrystal, Naveed Sattar, Amanda Adler, David Phillippo, Sofia Dias, Nicky Welton, Andrew Clegg and 4 more

Abstract readNetwork Meta-Analysis
In one paragraph

Article in PLoS medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. [Frailty and pharmacotherapy].Innere Medizin (Heidelberg, Germany) · 2025
    Review
  8. 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

14 authors.

Heather WightmanSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0009-0009-3625-0945
Elaine ButterlySchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-9410-0237
Lili WeiSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-3255-3449
Ryan McChrystalSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-1513-6966
Naveed SattarSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-1604-2593
Amanda AdlerDiabetes Trials Unit, University of Oxford, Oxford, United Kingdom.
David PhillippoPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0003-2672-7841
Sofia DiasCentre for Reviews and Dissemination, University of York, York, United Kingdom.ORCID https://orcid.org/0000-0002-2172-0221
Nicky WeltonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Andrew CleggAcademic Unit for Ageing and Stroke Research, Bradford Teaching Hospitals NHS Foundation Trust, University of Leeds, Bradford, United Kingdom.
Miles WithamAGE Research Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Leeds, United Kingdom.ORCID https://orcid.org/0000-0002-1967-0990
Kenneth RockwoodDivision of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-6674-995X
David A McAllisterSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Peter HanlonSchool of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0002-5828-3934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe representation of frailty in type 2 diabetes trials is unclear. This study used individual participant data from trials of newer glucose-lowering therapies to quantify frailty and assess the association between frailty and efficacy and adverse events. METHODS AND

findingsWe analysed IPD from 34 trials of sodium-glucose cotransporter 2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP1) receptor agonists, and dipeptidyl peptidase 4 (DDP4) inhibitors. Frailty was quantified using a cumulative deficit frailty index (FI). For each trial, we quantified the distribution of frailty; assessed interactions between frailty and treatment efficacy (HbA1c and major adverse cardiovascular events [MACE], pooled using random-effects network meta-analysis); and associations between frailty and withdrawal, adverse events, and hypoglycaemic episodes. Trial participants numbered 25,208. Mean age across the included trials ranged from 53.8 to 74.2 years. Using a cut-off of FI > 0.2 to indicate frailty, median prevalence was 9.5% (IQR 2.4%-15.4%). Applying a higher threshold of FI > 0.3, median prevalence was 0.5% (IQR 0.1%-1.5%). Prevalence was higher in trials of older people and people with renal impairment however, even in these higher risk populations, people with FI > 0.4 were generally absent. For SGLT2 inhibitors and GLP1 receptor agonists, there was a small attenuation in efficacy on HbA1c with increasing frailty (0.08%-point and 0.14%-point smaller reduction, respectively, per 0.1-point increase in FI), below the level of clinical significance. Findings for the effect of treatment on MACE (and whether this varied by frailty) had high uncertainty, with few events occurring in trial follow-up. A 0.1-point increase in the FI was associated with more all-cause adverse events regardless of treatment allocation (incidence rate ratio, IRR 1.44, 95% CI 1.35-1.54, p < 0.0001), adverse events judged to the possibly or probably related to treatment (1.36, 1.23, to 1.49, p < 0.0001), serious adverse events (2.09, 1.85, to 2.36, p < 0.0001), hypoglycaemia (1.21, 1.06, to 1.38, p = 0.012), baseline risk of MACE (hazard ratio 3.01, 2.48, to 3.67, p < 0.0001) and with withdrawal from the trial (odds ratio 1.41, 1.27, to 1.57, p < 0.0001). The main limitation was that the large cardiovascular outcome trials did not include data on functional status and so we were unable to assess frailty in these larger trials.

conclusionsFrailty was uncommon in these trials, and participants with a high degree of frailty were rarely included. Frailty is associated very modest attenuation of treatment efficacy for glycaemic outcomes and with greater incidence of both adverse events and MACE independent of treatment allocation. While these findings are compatible with calls to relax HbA1c-based targets in people living with frailty, they also highlight the need for inclusion of people living with frailty in trials. This would require changes to trial processes to facilitate the explicit assessment of frailty and support the participation of people living with frailty. Such changes are important as the absolute balance of risks and benefits remains uncertain among those with higher degrees of frailty, who are largely excluded from trials.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2FrailtyHypoglycemic AgentsAgedDipeptidyl-Peptidase IV InhibitorsFemaleGlucagon-Like Peptide-1 Receptor AgonistsGlycated HemoglobinHumansMaleMiddle AgedPrevalenceRandomized Controlled Trials as TopicSodium-Glucose Transporter 2 InhibitorsTreatment OutcomeBlood GlucoseDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsGlycated HemoglobinHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID40193407
PMCPMC12052138

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.