Evidence map›Paper›PMID 32807484›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2020

COVID-19 Pandemic and Burden of Non-Communicable Diseases: An Ecological Study on Data of 185 Countries.

M Reza Azarpazhooh, Negar Morovatdar, Abolfazl Avan, Thanh G Phan, Afshin A Divani, Nawaf Yassi, Saverio Stranges, Brian Silver, José Biller, Masoud Tokazebani Belasi and 6 more

Open access · bronzeAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
34.2field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 148 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 11 institutions in 6 countries.

M Reza AzarpazhoohStroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Negar MorovatdarClinical Research Development Unit, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Abolfazl AvanDepartment of Public Health, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Thanh G PhanDepartment of Neurology Monash Health, Clinical Trials, Imaging and Informatics division of Stroke and Ageing Research Group, Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Australia.
Afshin A DivaniDepartment of Neurology, School of Medicine, University of New Mexico, Albuquerque, NM, USA.
Nawaf YassiDepartments of Medicine and Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.
Saverio StrangesDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Family Medicine, Schulich School of Medicine and Dentistry Western University, London, ON, Canada; Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Brian SilverDepartment of Neurology, University of Massachusetts Medical School, Worcester, MA, USA.
José BillerDepartment of Neurology, Loyola University Chicago Stritch School of Medicine, Maywood, IL, USA.
Masoud Tokazebani BelasiResearch centre for Prevention of cardiovascular disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Sepideh Kazemi NeyaResearch centre for Prevention of cardiovascular disease, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Bita KhorramDalla Lana School of Public Health, University of Toronto; Toronto, ON, Canada.
Asher FrydmanStroke Prevention and Atherosclerosis Research Centre, Robarts Research Institute, Western University, London, Ontario, Canada.
Yongchai NilanontSiriraj Stroke Center, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Elisa OnoratiDepartment of Neurology and Stroke Unit, San Camillo de' Lellis General District Hospital, Rieti, Italy.
Mario Di NapoliDepartment of Neurology and Stroke Unit, San Camillo de' Lellis General District Hospital, Rieti, Italy; Neurological Section, Neuro-epidemiology Unit, SMDN-Centre for Cardiovascular Medicine and Cerebrovascular Disease Prevention, Sulmona, L'Aquila, Italy. Electronic address: mariodinapoli@katamail.com.
Western University · CAEllis Hospital · USIran University of Medical Sciences · IRMashhad University of Medical Sciences · IR3M (United States) · USLoyola University Chicago · USMonash Health · AUSiriraj Hospital · THThe Royal Melbourne Hospital · AUUniversity of Massachusetts Chan Medical School · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interaction between coronavirus disease 2019 (COVID-19) and non-communicable diseases may increase the global burden of disease. We assessed the association of COVID-19 with ageing and non-communicable diseases.

methodsWe extracted data regarding non-communicable disease, particularly cardiovascular disease, deaths, disability-adjusted life years (DALYs), and healthy life expectancy (HALE) from the Global Burden of Disease Study (GBD) 2017. We obtained data of confirmed COVID-19 cases, deaths, and tests from the Our World in Data database as of May 28, 2020. Potential confounders of pandemic outcomes analyzed include institutional lockdown delay, hemispheric geographical location, and number of tourists. We compared all countries according to GBD classification and World Bank income level. We assessed the correlation between independent variables associated with COVID-19 caseload and mortality using Spearman's rank correlation and adjusted mixed model analysis.

findingsHigh-income had the highest, and the Southeast Asia, East Asia, and Oceania region had the least cases per million population (3050.60 vs. 63.86). Sub-saharan region has reported the lowest number of COVID-19 mortality (1.9). Median delay to lockdown initiation varied from one day following the first case in Latin America and Caribbean region, to 34 days in Southeast Asia, East Asia, and Oceania. Globally, non-communicable disease DALYs were correlated with COVID-19 cases (r = 0.32, p<0.001) and deaths (r = 0.37, p<0.001). HALE correlated with COVID-19 cases (r = 0.63, p<0.001) and deaths (r = 0.61, p<0.001). HALE was independently associated with COVID-19 case rate and the number of tourists was associated with COVID-19 mortality in the adjusted model.

interpretationPreventive measures against COVID-19 should protect the public from the dual burden of communicable and non-communicable diseases, particularly in the elderly. In addition to active COVID-19 surveillance, policymakers should utilize this evidence as a guide for prevention and coordination of health services. This model is timely, as many countries have begun to reduce social isolation.

Indexed as

Global HealthAgedAged, 80 and overAge FactorsBetacoronavirusCause of DeathCoronavirus InfectionsCost of IllnessCOVID-19Databases, FactualFemaleHealthcare DisparitiesHealth Services Needs and DemandHealth Status DisparitiesHost-Pathogen InteractionsHumansCoronavirusCorrelationIncidenceMortalityPreventionStroke

Identifiers

PMID32807484
PMCPMC7315949
OpenAlexW3037564140

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.