Evidence map›Paper›PMID 18360627›Full record

ArticleTherapeutics and clinical risk management2007

Polypharmacy in elderly patients at discharge from the acute care hospital.

Andrea Corsonello, Claudio Pedone, Francesco Corica, Raffaele Antonelli Incalzi

Open access · bronzeAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

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  18. Excessive polypharmacy and survival in polypathological patients.European journal of clinical pharmacology · 2015
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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

4 authors at 3 institutions in 1 country.

Andrea Corsonello
Claudio Pedone
Francesco Corica
Raffaele Antonelli Incalzi
Campus Bio Medico University Hospital · ITItalian Medicines Agency · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate correlates of polypharmacy at discharge from wards of general medicine and geriatrics. POPULATION: 2465 patients enrolled in the Gruppo Italiano di Farmacovigilanza nell'Anziano (GIFA) study.

main outcome measurePolypharmacy, ie having more than 6 drugs prescribed at discharge.

methodsData on drugs prescribed at home, during hospital stay, and at discharge were collected according to a validated procedure. Logistic regression analysis was used to identify independent correlates of polypharmacy at discharge. The adherence to current therapeutic guidelines was assessed for selected drugs (digitalis, diuretics, antithrombotics, bronchodilators)

resultsThe median number of prescribed drugs was 3.0 before admission and 4.0 at discharge (p < 0.001). Polypharmacy prior to admission (Odds Ratio [OR] 4.32, 95% Confidence Interval [CI] 3.13-5.96), cumulative comorbidity (OR 1.81, 95% CI 1.40-2.32) and selected chronicconditions (diabetes, heart failure, chronic obstructive pulmonary disease, renal insufficiency, and depression) were significant correlates of polypharmacy at discharge. Negative correlate of the outcome was the occurrence of adverse drug reactions prior to admission (OR 0.22, 95% CI 0.09-0.51). The rate of appropriate prescription reached 80% only for antithrombotics either at home or in hospital and at discharge.

conclusionsHospitalization increases drug prescription at discharge in elderly patients. Efforts are needed to identify the determinants and to assess the quality of this prescription practice, with the final aim of contrasting polypharmacy.

Identifiers

PMID18360627
PMCPMC1936300
OpenAlexW2040316965

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.