Evidence map›Paper›PMID 33201896›Full record

SynthesisPloS one2020

Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review.

Ariel Izcovich, Martín Alberto Ragusa, Fernando Tortosa, María Andrea Lavena Marzio, Camila Agnoletti, Agustín Bengolea, Agustina Ceirano, Federico Espinosa, Ezequiel Saavedra, Verónica Sanguine and 6 more

Erratum issuedOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 387 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
387citing papers in PubMed, 7 pooled it
14.6field-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

387 citing papers in PubMed, 7 syntheses or guidelines pooled it, 683 citations in OpenAlex.

  1. Pentoxifylline in COVID-19 and considerations for its research in long COVID.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
    Pooled it
  5. Pooled it
  6. Association between phase angle and adverse clinical outcomes in hospitalized patients with COVID-19: A systematic review.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2022
    Pooled it
  7. Pooled it
  8. Trial
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

327 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 7 institutions in 3 countries.

Ariel IzcovichServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.ORCID 0000-0001-9053-4396
Martín Alberto RagusaServicio de clínica médica, Hospital Fernández, Buenos Aires, Argentina.
Fernando TortosaDepartamento Médico, Hospital "Ramón Carrillo", San Carlos de Bariloche, Argentina.
María Andrea Lavena MarzioServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.
Camila AgnolettiServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.
Agustín BengoleaServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.
Agustina CeiranoServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.
Federico EspinosaServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.
Ezequiel SaavedraServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.ORCID 0000-0001-7833-8130
Verónica SanguineDirección Nacional de Calidad en Servicios de Salud y Regulación Sanitaria, Ministerio de Salud de la Nación, Buenos Aires, Argentina.
Alfredo TassaraServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.ORCID 0000-0001-6093-2692
Candelaria CidServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.
Hugo Norberto CatalanoServicio de clínica médica, Hospital Alemán, Buenos Aires, Argentina.ORCID 0000-0001-5359-6141
Arnav AgarwalDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Farid ForoutanTed Rogers Centre for Heart Research, University Health Network, Toronto, Canada.ORCID 0000-0002-1029-1812
Gabriel RadaFundación Epistemonikos, Santiago, Chile.
Hospital Alemán · ARBariloche Atomic Centre · ARHospital Fernández · ARMinisterio de Salud · ARPontificia Universidad Católica de Chile · CLUniversity Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe objective of our systematic review is to identify prognostic factors that may be used in decision-making related to the care of patients infected with COVID-19. DATA SOURCES: We conducted highly sensitive searches in PubMed/MEDLINE, the Cochrane Central Register of Controlled Trials (CENTRAL) and Embase. The searches covered the period from the inception date of each database until April 28, 2020. No study design, publication status or language restriction were applied. STUDY SELECTION AND DATA EXTRACTION: We included studies that assessed patients with confirmed or suspected SARS-CoV-2 infectious disease and examined one or more prognostic factors for mortality or disease severity. Reviewers working in pairs independently screened studies for eligibility, extracted data and assessed the risk of bias. We performed meta-analyses and used GRADE to assess the certainty of the evidence for each prognostic factor and outcome.

resultsWe included 207 studies and found high or moderate certainty that the following 49 variables provide valuable prognostic information on mortality and/or severe disease in patients with COVID-19 infectious disease: Demographic factors (age, male sex, smoking), patient history factors (comorbidities, cerebrovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cardiovascular disease, cardiac arrhythmia, arterial hypertension, diabetes, dementia, cancer and dyslipidemia), physical examination factors (respiratory failure, low blood pressure, hypoxemia, tachycardia, dyspnea, anorexia, tachypnea, haemoptysis, abdominal pain, fatigue, fever and myalgia or arthralgia), laboratory factors (high blood procalcitonin, myocardial injury markers, high blood White Blood Cell count (WBC), high blood lactate, low blood platelet count, plasma creatinine increase, high blood D-dimer, high blood lactate dehydrogenase (LDH), high blood C-reactive protein (CRP), decrease in lymphocyte count, high blood aspartate aminotransferase (AST), decrease in blood albumin, high blood interleukin-6 (IL-6), high blood neutrophil count, high blood B-type natriuretic peptide (BNP), high blood urea nitrogen (BUN), high blood creatine kinase (CK), high blood bilirubin and high erythrocyte sedimentation rate (ESR)), radiological factors (consolidative infiltrate and pleural effusion) and high SOFA score (sequential organ failure assessment score).

conclusionIdentified prognostic factors can help clinicians and policy makers in tailoring management strategies for patients with COVID-19 infectious disease while researchers can utilise our findings to develop multivariable prognostic models that could eventually facilitate decision-making and improve patient important outcomes. SYSTEMATIC REVIEW REGISTRATION: Prospero registration number: CRD42020178802. Protocol available at: https://www.medrxiv.org/content/10.1101/2020.04.08.20056598v1.

Indexed as

AgedAgingBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19Data ManagementFemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralPrognosisRisk FactorsSARS-CoV-2

Identifiers

PMID33201896
PMCPMC7671522
OpenAlexW3043040397

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.