Evidence map›Paper›PMID 33005933›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Significantly Lower Case-fatality Ratio of Coronavirus Disease 2019 (COVID-19) than Severe Acute Respiratory Syndrome (SARS) in Hong Kong-A Territory-Wide Cohort Study.

Grace Chung-Yan Lui, Terry Cheuk-Fung Yip, Vincent Wai-Sun Wong, Viola Chi-Ying Chow, Tracy Hang-Yee Ho, Timothy Chun-Man Li, Yee-Kit Tse, Henry Lik-Yuen Chan, David Shu-Cheong Hui, Grace Lai-Hung Wong

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
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  4. Risk prediction of advanced colorectal neoplasia among diabetic patients: A derivation and validation study.JGH open : an open access journal of gastroenterology and hepatology · 2024
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  5. COVID-19-Induced Diabetes Mellitus: Comprehensive Cellular and Molecular Mechanistic Insights.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024
    Review
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  12. Predictors and microbiology of respiratory and bloodstream bacterial infection in patients with COVID-19: living rapid review update and meta-regression.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Grace Chung-Yan LuiDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Terry Cheuk-Fung YipDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Vincent Wai-Sun WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Viola Chi-Ying ChowDepartment of Microbiology, Prince of Wales Hospital, Hong Kong SAR, China.
Tracy Hang-Yee HoDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Timothy Chun-Man LiDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yee-Kit TseDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Henry Lik-Yuen ChanDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
David Shu-Cheong HuiDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Grace Lai-Hung WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-2863-9389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe case-fatality ratios (CFR) of coronavirus disease 2019 (COVID-19) and severe acute respiratory syndrome (SARS) appeared to differ substantially. We aimed to compare the CFR and its predictors of COVID-19 and SARS patients using a territory-wide cohort in Hong Kong.

methodsThis was a territory-wide retrospective cohort study using data captured from all public hospitals in Hong Kong. Laboratory-confirmed COVID-19 and SARS patients were identified. The primary endpoint was a composite endpoint of intensive care unit admission, use of mechanical ventilation, and/or death.

resultsWe identified 1013 COVID-19 patients (mean age, 38.4 years; 53.9% male) diagnosed from 23 January to 14 April 2020 and 1670 SARS patients (mean age, 44.4 years; 44.0% male) from March to June 2003. Fifty-five (5.4%) COVID-19 patients and 432 (25.9%) SARS patients had reached the primary endpoint in 30 days. By 30 June 2003, 286 SARS patients had died (CFR, 17.1%). By 7 June 2020, 4 COVID-19 patients had died (CFR, 0.4%). After adjusting for demographic and clinical parameters, COVID-19 was associated with a 71% lower risk of primary endpoint compared with SARS (adjusted hazard ratio, 0.29; 95% confidence interval, .21-.40; P < .0001). Age, diabetes mellitus, and laboratory parameters (high lactate dehydrogenase, high C-reactive protein, and low platelet count) were independent predictors of the primary endpoint in COVID-19 patients, whereas use of antiviral treatments was not associated with primary endpoint.

conclusionsThe CFR of COVID-19 was 0.4%. Age and diabetes were associated with worse outcomes, whereas antiviral treatments were not.

Indexed as

COVID-19Severe Acute Respiratory SyndromeAdultCohort StudiesFemaleHong KongHospitalizationHumansMaleRetrospective StudiesSARS-CoV-2COVID-19deathnCoVpneumoniaSARS-CoV-2

Identifiers

PMID33005933
PMCPMC7543259

What OpenQuestion 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 OpenQuestion graph.