Evidence map›Paper›PMID 32441789›Full record

SynthesisJournal of medical virology2020

Predictors of mortality in hospitalized COVID-19 patients: A systematic review and meta-analysis.

Wenjie Tian, Wanlin Jiang, Jie Yao, Christopher J Nicholson, Rebecca H Li, Haakon H Sigurslid, Luke Wooster, Jerome I Rotter, Xiuqing Guo, Rajeev Malhotra

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04450017 (Clinical Features of Severe Patients With COVID-19), which is not on this map. Cited by 363 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
363citing papers in PubMed, 9 pooled it
15.2field-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.

NCT04450017 completednot on this map

Clinical Features of Severe Patients With COVID-19

TypeobservationalSponsorFederal Research Clinical Center of Federal Medical & Biological Agency, RussiaRan2020 to 2020Enrolled200ConditionsSARS-CoV2ArmsThe demographic, clinical, laboratory, and instrumental data
3 · Its place in the literature

Who cites it

363 citing papers in PubMed, 9 syntheses or guidelines pooled it, 663 citations in OpenAlex.

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303 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

10 authors at 3 institutions in 2 countries.

Wenjie TianDivision of Cardiology, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Wanlin JiangDivision of Cardiology, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Jie YaoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Christopher J NicholsonDivision of Cardiology, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Rebecca H LiDivision of Cardiology, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Haakon H SigurslidDivision of Cardiology, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Luke WoosterSchool of Medicine, Case Western Reserve University, Cleveland, Ohio.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Rajeev MalhotraDivision of Cardiology, Department of Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-0120-4630
Harvard University · USUCLA Medical Center · USCase Western Reserve University · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4M
The Role of Histone Deacetylase 9 in Vascular CalcificationR01HL142809 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MALHOTRA, RAJEEV · 2018 to 2022
$4.0M
NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1TR001881NHLBI NIH HHS R01 HL142809NIDDK NIH HHS P30 DK063491NIH HHS R01 HL142809
6 · The paper itself

Abstract

Mortality rates of coronavirus disease-2019 (COVID-19) continue to rise across the world. Information regarding the predictors of mortality in patients with COVID-19 remains scarce. Herein, we performed a systematic review of published articles, from 1 January to 24 April 2020, to evaluate the risk factors associated with mortality in COVID-19. Two investigators independently searched the articles and collected the data, in accordance with PRISMA guidelines. We looked for associations between mortality and patient characteristics, comorbidities, and laboratory abnormalities. A total of 14 studies documenting the outcomes of 4659 patients were included. The presence of comorbidities such as hypertension (odds ratio [OR], 2.5; 95% confidence interval [CI], 2.1-3.1; P < .00001), coronary heart disease (OR, 3.8; 95% CI, 2.1-6.9; P < .00001), and diabetes (OR, 2.0; 95% CI, 1.7-2.3; P < .00001) were associated with significantly higher risk of death amongst patients with COVID-19. Those who died, compared with those who survived, differed on multiple biomarkers on admission including elevated levels of cardiac troponin (+44.2 ng/L, 95% CI, 19.0-69.4; P = .0006); C-reactive protein (+66.3 µg/mL, 95% CI, 46.7-85.9; P < .00001); interleukin-6 (+4.6 ng/mL, 95% CI, 3.6-5.6; P < .00001); D-dimer (+4.6 µg/mL, 95% CI, 2.8-6.4; P < .00001); creatinine (+15.3 µmol/L, 95% CI, 6.2-24.3; P = .001); and alanine transaminase (+5.7 U/L, 95% CI, 2.6-8.8; P = .0003); as well as decreased levels of albumin (-3.7 g/L, 95% CI, -5.3 to -2.1; P < .00001). Individuals with underlying cardiometabolic disease and that present with evidence for acute inflammation and end-organ damage are at higher risk of mortality due to COVID-19 infection and should be managed with greater intensity.

Indexed as

Hospital MortalityComorbidityCOVID-19Diabetes MellitusFemaleHospitalizationHumansHypertensionMaleRisk FactorsSex Factorscardiovascular diseaseCOVID-19diabetesmeta-analysis

Identifiers

PMID32441789
PMCPMC7280666
OpenAlexW3026318400

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.