Evidence map›Paper›PMID 21039769›Full record

ArticleBritish journal of clinical pharmacology2010

Emergency re-admissions to hospital due to adverse drug reactions within 1 year of the index admission.

Emma C Davies, Christopher F Green, David R Mottram, Philip H Rowe, Munir Pirmohamed

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Article in British journal of clinical pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 9 pooled it
–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

64 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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4 more citing papers are in PubMed but not listed here.

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.

Emma C DaviesThe Royal Liverpool and Broadgreen University Hospitals Trust, Liverpool L7 8XP, UK. edavies@liverpool.ac.uk
Christopher F Green
David R Mottram
Philip H Rowe
Munir Pirmohamed

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe proportion of re-admissions to hospital caused by ADRs is poorly documented in the UK. The aim of this study was to evaluate the impact of ADRs on re-admission to hospital after a period as an inpatient.

methodsOne thousand patients consecutively admitted to 12 wards were included. All subsequent admissions for this cohort within 1 year of discharge from the index admission were retrospectively reviewed.

resultsOf the 1000 patients included, 403 (40.3%, 95% CI 39.1, 45.4%) were re-admitted within 1 year. Complete data were available for 290 (70.2%) re-admitted patients, with an ADR contributing to admission in 60 (20.8%, 95% CI 16.4, 25.6%) patients. Presence of an ADR in the index admission did not predict for an ADR-related re-admission (10.5% vs. 7.2%, P=0.25), or re-admission overall (47.2% vs. 41.2%, P=0.15). The implicated drug was commenced in the index admission in 33/148 (22.3%) instances, with 37/148 (25%) commenced elsewhere since the index admission. Increasing age and an index admission in a medical ward were associated with a higher incidence of re-admission ADR. The most frequent causative drugs were anti-platelets and loop diuretics, with bleeding and renal impairment the most frequent ADRs. Over half (52/91, 57.1%) of the ADRs were judged to be definitely or possibly avoidable.

conclusionsOne fifth of patients re-admitted to hospital within 1 year of discharge from their index admission are re-admitted due to an ADR. Our data highlight drug and patient groups where interventions are needed to reduce the incidence of ADRs leading to re-admission.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAdultAgedEmergency Service, HospitalFemaleHumansIncidenceMaleMiddle AgedPatient ReadmissionState MedicineUnited Kingdom

Identifiers

PMID21039769
PMCPMC2997315

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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.