Evidence map›Paper›PMID 40721757›Full record

ArticleBMC endocrine disorders2025

Polypharmacy and associated factors among patients with type two diabetes mellitus with comorbidity: a multicenter cross-sectional study in Northwest Ethiopia.

Fasil Bayafers Tamene, Tirsit Ketsela Zeleke, Akalu Fetene Desalew, Getachew Yitayew Tarekegn, Ashenafi Kibret Sendekie, Selamawit Mengstu Tafere, Mekdes Kiflu, Tilaye Arega Moges, Fisseha Nigussie Dagnew, Samuel Agegnew Wondm

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In one paragraph

Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Fasil Bayafers TameneDepartment of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia. fasil.baya@gmail.com.
Tirsit Ketsela ZelekeDepartment of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Akalu Fetene DesalewDepartment of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Getachew Yitayew TarekegnDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Ashenafi Kibret SendekieDepartment of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Selamawit Mengstu TafereDepartment of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Mekdes KifluDepartment of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Tilaye Arega MogesDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Fisseha Nigussie DagnewDepartment of Pharmacy, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
Samuel Agegnew WondmDepartment of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with Diabetes Mellitus (DM) may have various comorbid illnesses, which necessitates the prescription of multiple drugs. Polypharmacy can raise the risk of adverse drug events, drug interactions, and medication non-adherence, even though using numerous medications is not always inappropriate. The aim of this study was to assess the rate of polypharmacy and associated factors among patients with Type 2 Diabetes Mellitus (T2DM) with comorbidity in Northwest Ethiopia.

methodsA cross-sectional study was conducted among 409 T2DM patients with comorbidity in Northwest Ethiopia from April 1 to June 30, 2023. A consecutive sampling technique was used to enroll study participants. Data were entered using EpiData version 4.6.0 and analyzed with SPSS version 26. Polypharmacy was determined by reviewing the number and type of medications based on relevant evidence. A multivariable logistic regression model was fitted to identify factors associated with polypharmacy. Variables with a p-value less than 0.05 at a 95% confidence interval were considered statistically significant.

resultsThe prevalence of polypharmacy was 59.1%. Duration of illness (AOR = 2.06, 95% CI: 1.14, 3.07) hypoglycemia (AOR = 2.75, 95% CI: 1.45, 5.21) and comorbidity of four, five or more (AOR = 2.19, 95% CI: 1.16, 4.15), (AOR = 3.23, 95% CI: 1.47, 7.09) were significantly associated with polypharmacy. CONCLUSION AND RECOMMENDATION: In this study, more than half of the participants were found to be on polypharmacy. Patients with longer duration of illness, hypoglycemia and multiple comorbidities need routine follow-up to reduce the rate of polypharmacy.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsPolypharmacyAdultAgedComorbidityCross-Sectional StudiesEthiopiaFemaleFollow-Up StudiesHumansMaleMiddle AgedPrevalencePrognosisRisk FactorsHypoglycemic AgentsComorbidityCross-sectionalDiabetes mellitusNorthwest EthiopiaPolypharmacy

Identifiers

PMID40721757
PMCPMC12302859

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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.