Evidence map›Paper›PMID 27614089›Full record

ArticleBritish journal of clinical pharmacology2017

The impact of serious adverse drug reactions: a population-based study of a decade of hospital admissions in New South Wales, Australia.

Scott R Walter, Richard O Day, Blanca Gallego, Johanna I Westbrook

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Scott R WalterCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.
Richard O DaySt Vincent's Clinical School, University of New South Wales, St Vincent's Hospital, Sydney, NSW, Australia.
Blanca GallegoCentre for Health Informatics, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
Johanna I WestbrookCentre for Health Systems and Safety Research, Australian Institute of Health Innovation, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAdverse drug reactions (ADRs) have major impacts on patients and the hospital system. Methods identifying ADRs from selected International Classification of Diseases-10th revision (ICD-10) diagnosis and external cause codes can be applied to population-level hospital admissions data, enabling the study of rare, yet serious ADRs. The present study aimed to use ICD10-based methods to identify four types of serious idiosyncratic ADRs in Australia, and to assess changes in incidence and their impact on length of stay (LOS), readmission and in-hospital mortality.

methodsThe study used a census of hospital admission data from New South Wales between July 2000 and June 2012. Changes in incidence rates over time relative to a control group were estimated using log-linear regression. To assess impacts on LOS, readmission and mortality, each ADR case was matched with five controls, and cases were compared with controls via generalized linear models appropriate to each outcome.

resultsThe incidence of three ADR types showed a significant increase over time relative to controls, while the fourth type showed no evidence of change. All ADR types were significantly associated with an increase in LOS of between 22% and 328%. Significant increases in risk of readmission or death were only observed for some ADR types.

conclusionsReducing the incidence of idiosyncratic ADRs is challenging. ICD10-based methods support population-level analyses that can provide important insights into the effects and changes in ADRs over time. This, combined with strategies related to both patient care and drug monitoring pre- and post-commercial release, provides ways forward.

Indexed as

Adverse Drug Reaction Reporting SystemsAgedDrug-Related Side Effects and Adverse ReactionsFemaleHospitalizationHospital MortalityHumansIncidenceLength of StayLinear ModelsMaleMiddle AgedNew South WalesPatient Readmissionadverse drug reactionsICD-10population-based

Identifiers

PMID27614089
PMCPMC5237693

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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.