Evidence map›Paper›PMID 32407459›Full record

SynthesisClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Risk Factors for Severe Disease and Efficacy of Treatment in Patients Infected With COVID-19: A Systematic Review, Meta-Analysis, and Meta-Regression Analysis.

John J Y Zhang, Keng Siang Lee, Li Wei Ang, Yee Sin Leo, Barnaby Edward Young

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 9 pooled it
6.7field-weighted citation impact, top 2% 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

165 citing papers in PubMed, 9 syntheses or guidelines pooled it, 295 citations in OpenAlex.

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  12. Fat embolism and COVID-19 infection: autopsy and post-mortem laboratory findings in SARS-CoV-2 positive patients.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2025
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  19. Predicting the outcome of death by CALL Score in COVID-19 patients.Revista da Associacao Medica Brasileira (1992) · 2024
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105 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 2 countries.

John J Y ZhangYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Keng Siang LeeBristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, United Kingdom.
Li Wei AngEpidemiology and Disease Control Division, Ministry of Health, Singapore.
Yee Sin LeoYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Barnaby Edward YoungNational Centre for Infectious Diseases, Singapore.
National University of Singapore · SGMinistry of Health · SGNanyang Technological University · SGUniversity of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic spread globally in the beginning of 2020. At present, predictors of severe disease and the efficacy of different treatments are not well understood. We conducted a systematic review and meta-analysis of all published studies up to 15 March 2020, which reported COVID-19 clinical features and/or treatment outcomes. Forty-five studies reporting 4203 patients were included. Pooled rates of intensive care unit (ICU) admission, mortality, and acute respiratory distress syndrome (ARDS) were 10.9%, 4.3%, and 18.4%, respectively. On meta-regression, ICU admission was predicted by increased leukocyte count (P < .0001), alanine aminotransferase (P = .024), and aspartate transaminase (P = .0040); elevated lactate dehydrogenase (LDH) (P < .0001); and increased procalcitonin (P < .0001). ARDS was predicted by elevated LDH (P < .0001), while mortality was predicted by increased leukocyte count (P = .0005) and elevated LDH (P < .0001). Treatment with lopinavir-ritonavir showed no significant benefit in mortality and ARDS rates. Corticosteroids were associated with a higher rate of ARDS (P = .0003).

Indexed as

COVID-19 Drug TreatmentAdrenal Cortex HormonesClinical Trials as TopicCoronavirusCOVID-19HospitalizationHumansIntensive Care UnitsRegression AnalysisRespiratory Distress SyndromeRisk FactorsRitonavirSARS-CoV-2Severity of Illness IndexTreatment OutcomeAdrenal Cortex HormonesRitonavircoronavirusCOVID-19risk factorseveretreatment

Identifiers

PMID32407459
PMCPMC7239203
OpenAlexW3024899790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.