Evidence mapPaperPMID 41113864Full record

ReviewTherapeutic advances in endocrinology and metabolism2025

The role of medication regimen complexity in diabetes management: a rapid review.

Sarah M Khayyat, Ruba S Azfr Ali

Abstract readReview
In one paragraph

Review in Therapeutic advances in endocrinology and metabolism, 2025. 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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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sarah M KhayyatPharmaceutical Practices Department, College of Pharmacy, Umm Al-Qura University, Al Abdeyah, Makkah 24381, Saudi Arabia.ORCID https://orcid.org/0000-0002-0316-1825
Ruba S Azfr AliPharmaceutical Practices Department, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID https://orcid.org/0000-0003-0473-0337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combination therapy is commonly used to achieve better glycemic control, but Medication Regimen Complexity (MRC) can pose challenges for treatment adherence and outcomes. While some studies have explored the impact of MRC on patient outcomes, evidence remains inconclusive. Therefore, we aimed to explore the impact of MRC on diabetes management. This rapid review systematically identified studies on diabetes patients with complex medication regimens and their clinical and nonclinical outcomes. A comprehensive search was conducted across four databases (PubMed, Web of Science, Scopus, and Cochrane) from January 1967 to September 2023. Study quality was assessed using the Joanna Briggs Institute tool, while the overall evidence certainty was evaluated using the GRADE approach. Thirteen studies met the inclusion criteria, of which 11 focused on type 2 diabetes. The primary outcomes assessed were glycemic control and medication adherence. While findings on glycemic control conflicted among 12 studies, most indicated that higher MRC was associated with poor glycemic control. Four studies reported improved adherence with lower MRC. Additionally, high MRC was associated with greater medication burden and diabetes-related distress, though its impact on body weight remained inconclusive. Conversely, regimen simplification was linked to improved quality of life and increased treatment satisfaction. In conclusion, the findings suggest that MRC may contribute to various challenges in diabetes management. Simplifying regimens and standardizing outcome assessments are essential for optimizing treatment strategies in both practice and policy.

Indexed as

diabetes mellitusglycemic controlhealth outcomesmedication adherencemedication regimen complexity

Identifiers

PMID41113864
PMCPMC12534806

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.