ArticleZeitschrift fur Gerontologie und Geriatrie2012
[Implementation and results of a geriatric medication database].
Article in Zeitschrift fur Gerontologie und Geriatrie, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Prevalence and treatment of atrial fibrillation in older adults.Zeitschrift fur Gerontologie und Geriatrie · 2023Article
- Anticholinergic burden and cognitive function in a large German cohort of hospitalized geriatric patients.PloS one · 2017Article
- Co-Prescription of QT-Interval Prolonging Drugs: An Analysis in a Large Cohort of Geriatric Patients.PloS one · 2016Article
- Implementation of warnings from Dear Doctor Letters (Rote-Hand-Briefe): an analysis of medication data from a large cohort of elderly patients.Deutsches Arzteblatt international · 2014Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
backgroundThe aim of this project was to obtain information about drug therapy in geriatric units. PATIENTS AND
methodsMembers of the geriatrics in Bavaria database (GiB-DAT) collected data on discharge medication and transferred them to the database. A total of 88,840 data sets of geriatric rehabilitation clinics and acute geriatric units were evaluated according to the anatomical therapeutic chemical (ATC) system.
resultsPatients (mean age: 81.1 years, female 67.7%) had an average of 10.4 diagnoses and took 8.0 drugs at discharge. A peak number of prescribed drugs was reached at the age of 60-70 years with a decrease in the following decades of life. Female patients received more drugs, significantly those in the decades from 71 to 80 and 81 to 90 years old. The bulk of the drugs were from the ATC groups "Cardiovascular system" (89.9%), "Nervous system" (82.3%) and "Alimentary tract and metabolism" (78%).
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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.