Evidence map›Paper›PMID 25216754›Full record

ArticleWiener klinische Wochenschrift2014

Risk factors for the prescription of potentially inappropriate medication (PIM) in the elderly : an analysis of sickness fund routine claims data from Germany.

Stephanie Stock, Marcus Redaelli, Dusan Simic, Martin Siegel, Frank Henschel

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In one paragraph

Article in Wiener klinische Wochenschrift, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
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

21 citing papers in PubMed, 29 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Stephanie StockInstitut für Gesundheitsökonomie und Klinische Epidemiologie der Universität zu Köln, Gleueler Str. 176-178, 50935, Köln, Germany, Stephanie.Stock@uk-koeln.de.
Marcus Redaelli
Dusan Simic
Martin Siegel
Frank Henschel
University of Cologne · DETechnische Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly people are especially prone to suffer adverse drug reactions (ADR). Main reasons for the higher vulnerability of the elderly to ADR are changes in metabolism as i.e. slower renal clearance and polypharmacie which often results from multimorbidity. To prevent ADR careful prescription with special consideration of these aspects is warranted. To help physicians avoid drugs which are especially likely to cause ADR lists have been developed following the consensus method process. For Germany this list is called the PRISCUS list. It was developed based on a literature review, review of international lists such as the American Beers list, and a consensus process based on a Delphi survey. It contains 83 drugs from 18 classes which are classified as potentially inapropriate medication (PIM). It also lists alternatives for each PIM. If a drug is registered with the PRISCUS list this does not mean automatically that it is contraindicated in the elderly but that special caution should be excercised in prescribing the drug, alternatives should be considered and the patient carefully monitored.Prescription rates for PIMs in Germany in the elderly is pretty much stable at around 23% with only a small decline in the past years. Also, more than 5% of all prescriptions in the elderly are PIM prescriptions. Physicians specially trained in geriatrics tend to prescribe less PIMs compared to other physicians.

Indexed as

AgedAged, 80 and overAge DistributionCohort StudiesFemaleGermanyHumansInappropriate PrescribingMaleNational Health ProgramsPrescriptionsPrevalenceRetrospective StudiesRisk FactorsSex Distribution

Identifiers

PMID25216754
OpenAlexW1232772477

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.