Evidence map›Paper›PMID 39709389›Full record

ArticleBMC primary care2024

Incidence of primary care chest pain consultations during the COVID-19 pandemic: an interrupted time series analysis with routine care data.

Simone van den Bulk, Jasper W A van Egeraat, Annelieke H J Petrus, Mattijs E Numans, Tobias N Bonten

Abstract read
In one paragraph

Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Simone van den BulkDepartment of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Leiden, 2333 ZD, The Netherlands.ORCID 0000-0002-0444-8932
Jasper W A van EgeraatDepartment of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Leiden, 2333 ZD, The Netherlands. j.w.a.van_egeraat@lumc.nl.ORCID 0000-0002-0540-4237
Annelieke H J PetrusDepartment of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Leiden, 2333 ZD, The Netherlands.ORCID 0000-0001-5967-805X
Mattijs E NumansDepartment of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Leiden, 2333 ZD, The Netherlands.ORCID 0000-0002-0368-5426
Tobias N BontenDepartment of Public Health and Primary Care, Leiden University Medical Center, Hippocratespad 21, Leiden, 2333 ZD, The Netherlands.ORCID 0000-0002-7719-6182

Funding

ZonMw 852001907
6 · The paper itself

Abstract

backgroundThe COVID-19 lockdown had profound effects on society and healthcare. Cardiology departments reported declines in chest pain evaluations and acute coronary syndrome (ACS) diagnoses. However, the pattern of chest pain in primary care is not clear yet. This study aims to assess the impact of the COVID-19 lockdown on the number of patients presenting with chest pain in primary care.

methodsRoutine primary care data from the Extramural LUMC (Leiden University Medical Center) Academic Network (ELAN) in the Netherlands were used. Chest pain consultations from January 2017 to December 2020 were included. An interrupted time series analysis was performed to compare the incidence rate (IR) of chest pain consultations during the COVID-19 lockdown to the expected IR. Secondary outcomes were the type of consultations, referral proportions, and the IR of registered ACS diagnoses.

resultsIn total 9,908 chest pain consultations were included. During the COVID-19 lockdown the IR was 6.16 per 1000 person-years while the expected IR was 7.55 (95% CI 7.03-8.12). The immediate effect of the lockdown yielded an incidence rate ratio (IRR) of 0.62 (95% CI 0.50-0.77). A similar decrease was seen for ACS diagnoses (IRR 0.62, 95% CI 0.48-0.79), with no compensatory increase after the lockdown (IRR 1.04, 95% CI 0.89-1.21). Face-to-face consultations shifted to telephone consultations (p < 0.001) and hospital referrals decreased (9.9% vs. 19.0% (p < 0.001)).

conclusionsDuring the COVID-19 lockdown the number of chest pain consultations and registered ACS diagnoses in primary care decreased significantly. In addition, fewer patients were assessed face-to-face and fewer patients were referred to the hospital.

Indexed as

Chest PainCOVID-19Interrupted Time Series AnalysisPrimary Health CareReferral and ConsultationAcute Coronary SyndromeAdultAgedFemaleHumansIncidenceMaleMiddle AgedNetherlandsPandemicsSARS-CoV-2Chest painCOVID-19Interrupted time series analysisPrimary health careRoutinely collected health data

Identifiers

PMID39709389
PMCPMC11662427

What Socratic holds

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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 Socratic graph.