Evidence map›Paper›PMID 37781646›Full record

ArticleThe journal of allergy and clinical immunology. Global2023

Effect of the COVID-19 pandemic on asthma exacerbations in New Zealand: An interrupted time series analysis.

Amy Hai Yan Chan, Andrew Tomlin, Eliza Chan, Jeff Harrison, Kebede A Beyene

Abstract read
In one paragraph

Article in The journal of allergy and clinical immunology. Global, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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

9 citing papers in PubMed.

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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.

Amy Hai Yan ChanSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Andrew TomlinSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Eliza ChanSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Jeff HarrisonSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Kebede A BeyeneSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: New Zealand (NZ) implemented some of the strictest restrictions during the novel coronavirus pandemic (coronavirus disease 2019 [COVID-19]), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). How this impacted asthma exacerbation rates in NZ is unknown. Objective: We sought to explore the effects of the COVID-19 restrictions on asthma exacerbations in NZ during 2020. Methods: We used a population-based, interrupted time series to examine the impact of the first COVID-19 lockdown in NZ on asthma exacerbation rate. The primary outcome measure was change in the monthly exacerbation rate, defined as hospitalization and/or course of corticosteroids, before and after the first lockdown. In a secondary analysis, we quantified the number of patients with asthma, the actual asthma exacerbation rate from March to December 2019 versus March to December 2020, and the number of asthma hospitalizations. Results: There was a significant drop in the exacerbation rate immediately after lockdown (-3.02; Conclusions: The first COVID-19 lockdown in 2020 in NZ significantly reduced asthma exacerbation rates across all sociodemographic groups. Whether these reductions are sustained requires further investigation.

Indexed as

AsthmaCOVID-19exacerbationshospitalizationsinterrupted time seriespandemicpublic health

Identifiers

PMID37781646
PMCPMC10509955

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.