Evidence map›Paper›PMID 41296133›Full record

SynthesisAging clinical and experimental research2025

Prevalence of polypharmacy among older adults with diabetes: A systematic review and Meta-Analysis.

Prakasini Satapathy, Abhay M Gaidhane, Nasir Vadia, Soumya V Menon, Kattela Chennakesavulu, Rajashree Panigrahi, Muhammed Shabil, Mahendra Singh, Sanjit Sah, Doddolla Lingamaiah and 4 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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.

Prakasini Satapathy *Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospital, Saveetha University, Chennai, India.
Abhay M Gaidhane *Global Health Academy, School of Epidemiology and Public Health, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education, Wardha, India.
Nasir VadiaDepartment of Pharmaceutical Sciences, Faculty of Health Sciences, Marwadi University Research Center, Marwadi University, Rajkot, 360003, Gujarat, India.
Soumya V MenonDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Kattela ChennakesavuluDepartment of Chemistry, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Rajashree PanigrahiDepartment of Microbiology, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, 751003, Odisha, India.
Muhammed ShabilUniversity Center for Research and Development, Chandigarh University, Mohali, Punjab, India.
Mahendra SinghDepartment of Biotechnology, Graphic Era (Deemed to be University, Clement Town, Dehradun, 248002, India.
Sanjit SahDepartment of Paediatrics, Dr. D. Y. Patil Medical College Hospital, Dr. D. Y. Patil Vidyapeeth (Deemed-to-be-University), Pimpri, Pune - 411018, Maharashtra, India.
Doddolla LingamaiahCentre for Research Impact and Outcome, Institute of Engineering and Technology, Chitkara University, Chitkara University, Rajpura, 140401, Punjab, India.
S Govinda RaoDepartment of Data Science, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, 500 090, Telangana, India.
Khang Wen GohFaculty of Data Science and Information Technology, INTI International University, Nilai, Malaysia.
Edward MawejjeSchool of Public Health, Makerere University College of Health Sciences, Mulago Hill, Kampala, Uganda. emawejje62@gmail.com.
Ganesh BushiSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePolypharmacy, the concurrent use of five or more medications, is prevalent among older adults with Diabetes, a population at elevated risk for medication-related complications. Complex treatment regimens for Diabetes and its comorbidities exacerbate challenges such as medication non-adherence, drug interactions, adverse events, and increased hospitalization risk. This review aimed to estimate the prevalence of polypharmacy among older adults with Diabetes.

methodFollowing PRISMA 2020 guidelines, we performed a systematic search of PubMed, Embase, and Web of Science. Screened articles using Nested Knowledge software. Eligible studies included those aged 60 years or older with Diabetes, reporting on the prevalence of polypharmacy. Study quality was assessed using a modified Newcastle-Ottawa Scale, and meta-analysis was performed using random-effects models in R software version 4.4.1. Publication bias was indicated by a Doi plot with an LFK index.

resultsThe pooled prevalence of polypharmacy was 59% (95% CI, 48%-70%). Subgroup analyses showed a prevalence of 55% in retrospective studies and 62% in cross-sectional studies. Sensitivity analyses confirmed the stability of the results. Significant geographic variability was noted, with lower prevalence in high-income countries compared to regions in Southern Europe and Asia.

conclusionsPolypharmacy is highly prevalent among older adults with Diabetes, with significant variability across study designs and geographic regions. Targeted interventions and further research are essential to address its associated risks and optimize medication management.

Indexed as

Diabetes MellitusPolypharmacyAgedAged, 80 and overHumansMiddle AgedPrevalenceDiabetesMeta-analysisOlder adultsPolypharmacySystematic review

Identifiers

PMID41296133
PMCPMC12657567

What OpenQuestion 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 OpenQuestion graph.