Evidence map›Paper›PMID 41315090›Full record

ReviewDiabetologia2026

Improving medication adherence in type 2 diabetes: strategies for better clinical and economic outcomes.

Patrick J Highton, Mark P Funnell, Pankaj Gupta, Francesco Zaccardi, Lee-Ling Lim, Samuel Seidu, Kamlesh Khunti

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

7 authors.

Patrick J HightonDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK. ph204@leicester.ac.uk.ORCID http://orcid.org/0000-0002-0410-5788
Mark P FunnellDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Pankaj GuptaNational Institute for Health and Care Research Applied Research Collaboration East Midlands, Leicester, UK.
Francesco ZaccardiLeicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Lee-Ling LimDepartment of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Samuel SeiduDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK. kk22@leicester.ac.uk.ORCID http://orcid.org/0000-0003-2343-7099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication adherence is critical for optimal glycaemic management and the prevention of complications in type 2 diabetes mellitus. Despite its importance, non-adherence remains a prevalent issue, with global estimates suggesting that approximately 38% of people with type 2 diabetes do not take their medications as prescribed, although estimates vary widely due to a range of patient-related, socioeconomic, condition-related (e.g. chronicity, severity of comorbidities) and healthcare system factors. This review synthesises the current evidence on the prevalence of non-adherence in type 2 diabetes, as well as risk factors and clinical and economic consequences, and evaluates interventions designed to improve adherence in this population. Medication non-adherence is associated with increased HbA

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsMedication AdherenceHumansHypoglycemic AgentsGlycaemic managementHealthcare outcomesInterventionsMedication adherenceMultimorbidityReviewType 2 diabetes mellitus

Identifiers

PMID41315090
PMCPMC12881013

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.