Evidence map›Paper›PMID 33294113›Full record

ArticleThe World Allergy Organization journal2020

Increasing anaphylaxis events in Western Australia identified using four linked administrative datasets.

Sandra M Salter, Ross J Marriott, Kevin Murray, Samantha L Stiles, Paul Bailey, Raymond J Mullins, Frank M Sanfilippo

Open access · goldAbstract read
In one paragraph

Article in The World Allergy Organization journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Mapping the Burden and Risk Factors of Allergic Diseases and Asthma Among Aboriginal and Torres Strait Islander People: A Scoping Review.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Article
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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

7 authors at 3 institutions in 1 country.

Sandra M SalterSchool of Allied Health, Faculty of Health and Medical Sciences, The University of Western Australia, M315, 35 Stirling Highway, Perth, WA, 6009, Australia.
Ross J MarriottSchool of Population and Global Health, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, 6009, Australia.
Kevin MurraySchool of Population and Global Health, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, 6009, Australia.
Samantha L StilesSchool of Allied Health, Faculty of Health and Medical Sciences, The University of Western Australia, M315, 35 Stirling Highway, Perth, WA, 6009, Australia.
Paul BaileySt John WA, Belmont, Western Australia, 6104, Australia.
Raymond J MullinsSuite 1, John James Medical Centre, 175 Strickland Crescent, Deakin, ACT, 2600, Australia.
Frank M SanfilippoSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, 6009, Australia.
The University of Western Australia · AUBelmont Hospital · AUMonash Medical Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnaphylaxis events are increasing worldwide, based on studies of single administrative datasets including hospital admissions, emergency room presentations, and prescription and medical claims data. Linking multiple administrative datasets may provide better epidemiological estimates, by capturing a greater number of anaphylaxis events occurring at the individual level. In this linked data study in Western Australia, we combined 4 population-based datasets to identify anaphylaxis events, factors influencing occurrence, and change in event rates from 2002 to 2013.

methodsFour linked administrative datasets from the Western Australian Data Linkage System were used, representing ambulance attendances, emergency department presentations, hospital inpatient admissions and death registrations. An anaphylaxis cohort was identified using ICD-9-CM, ICD-10-AM and additional anaphylaxis diagnosis codes, with event rates calculated. We explored the impact of age, gender, cause, Indigenous status and socioeconomic index on event rates. Standard Poisson regression models were used to examine the significance of the change in anaphylaxis event rates over time.

resultsA total 12,637 individuals (mean age 31.8 years, 49.6% female) experienced 15,462 anaphylaxis events between 2002 and 2013 (97.5% in non-Indigenous patients and 59.5% residing in the area of greatest socioeconomic advantage). Anaphylaxis event rates increased from 15.4 to 82.5/10

conclusionUsing multiple linked administrative datasets, we identified significantly higher rates of total anaphylaxis than previously reported, with more than 5-fold increases in anaphylaxis events between 2002 and 2013. While the combination of 4 population-level datasets provides a more comprehensive capture of cases, even at the individual dataset level, admission rates for anaphylaxis in Western Australia are substantially higher than those previously reported for similar time periods, both in Australia and worldwide.

Indexed as

AnaphylaxisAustraliaEDDC, Emergency Department Data CollectionEPAWA, Epidemiology of Anaphylaxis in Western AustraliaEpidemiologyEventsHMDC, Hospital Morbidity Data CollectionICD-10-AM, International Statistical Classification of Diseases and Related Health Problems, 10th revision, Australian ModificationICD-9-CM, International Classification of Diseases, 9th revision, Clinical ModificationIRSAD, Index of Relative Socio-Economic Advantage and DisadvantageLinked dataSEIFA, Socio-Economic Indexes for AreasWAAC, Western Australian Anaphylaxis CohortWADLS, Western Australian Data Linkage System

Identifiers

PMID33294113
PMCPMC7677753
OpenAlexW3101125501

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.