SynthesisEuropean journal of clinical pharmacology2015
Evaluation of the heterogeneity of studies estimating the association between risk factors and the use of potentially inappropriate drug therapy for the elderly: a systematic review with meta-analysis.
Synthesis in European journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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.
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Who cites it
12 citing papers in PubMed.
- Association of potentially inappropriate medications and need for long-term care among older adults: a matched cohort study.BMC geriatrics · 2022Article
- Are there sex differences in potentially inappropriate prescribing in adults with multimorbidity?Journal of the American Geriatrics Society · 2021Article
- Potentially Inappropriate Medication Use in Older Adults in the Preoperative Period: A Retrospective Study of a Noncardiac Surgery Cohort.Drugs - real world outcomes · 2020Article
- Pharmacological plasticity-How do you hit a moving target?Pharmacology research & perspectives · 2019Review
- 2015 Beers Criteria and STOPP v2 for detecting potentially inappropriate medication in community-dwelling older people: prevalence, profile, and risk factors.European journal of clinical pharmacology · 2019Article
- Potentially inappropriate medicines in elderly hospitalised patients according to the EU(7)-PIM list, STOPP version 2 criteria and comprehensive protocol.European journal of clinical pharmacology · 2017Article
- Article
- Potentially Inappropriate Medications by Beers Criteria in Older Outpatients: Prevalence and Risk Factors.Korean journal of family medicine · 2016Article
- The detection of Trypanosoma cruzi by nested-PCR in elderly patients: relationship to the clinical and epidemiological profile.Pathogens and global health · 2016Article
- Sex differences in the risk of receiving potentially inappropriate prescriptions among older adults.Age and ageing · 2016Article
- Potentially inappropriate psychotropic prescription at discharge is associated with lower functioning in the elderly psychiatric inpatients. A cross-sectional study.Psychopharmacology · 2016Article
- Potentially inappropriate medications prescribing according to Beers criteria among elderly outpatients in Jordan: a cross sectional study.Pharmacy practiceArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study was conducted to evaluate the heterogeneity of studies estimating the association between risk factors (age, gender, and polypharmacy) and the use of potentially inappropriate drug therapy for the elderly (PIDT). METHODOLOGY: This study is a systematic review with meta-analysis of observational studies. LILACS, PubMed, Scopus, and the Web of Science databases were reviewed. The following data were extracted from the included studies: country, type of study, characteristics of the sample, practice scenarios, instruments to evaluate potentially inappropriate drug therapy for the older adults, and patient-related variables.
resultsTwenty-nine articles (17 cross-sectional and 12 cohort) were included. The majority of the studies were conducted in Europe. Regarding the study durations, 3 to 18 months was necessary to perform the research. As for the sample characteristics, all the studies analyzed involved the older adults and included anywhere from 96 patients to 33,830,599 outpatient consultations. Of the variables analyzed, only polypharmacy presented a positive association with the use of PIDT. All meta-analysis studies showed high heterogeneity, indicating the lack of a methodological standardization of the studies included, among other factors.
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Registered trials
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.