Evidence map›Paper›PMID 32645630›Full record

SynthesisInternational immunopharmacology2020

Evaluation of safety, efficacy, tolerability, and treatment-related outcomes of type I interferons for human coronaviruses (HCoVs) infection in clinical practice: An updated critical systematic review and meta-analysis.

Chengjun Yu, Lian Kang, Jiadong Chen, Na Zang

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International immunopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Immunotherapeutic approaches to curtail COVID-19.International immunopharmacology · 2020
    Review
  3. Review
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

4 authors at 2 institutions in 1 country.

Chengjun YuChildren's Hospital of Chongqing Medical University, Chongqing, China; Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China; Chongqing Key Laboratory of Pediatrics Chongqing, Chongqing, China.
Lian KangChildren's Hospital of Chongqing Medical University, Chongqing, China; National Clinical Research Center for Child Health and Disorders, Chongqing, China; Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Key Laboratory of Pediatrics Chongqing, Chongqing, China.
Jiadong ChenChildren's Hospital of Chongqing Medical University, Chongqing, China; National Clinical Research Center for Child Health and Disorders, Chongqing, China; Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; Chongqing Key Laboratory of Pediatrics Chongqing, Chongqing, China.
Na ZangChildren's Hospital of Chongqing Medical University, Chongqing, China; Chongqing Key Laboratory of Children Urogenital Development and Tissue Engineering, Chongqing, China; National Clinical Research Center for Child Health and Disorders, Chongqing, China; Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China; China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China; Chongqing Key Laboratory of Pediatrics Chongqing, Chongqing, China; Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing, China. Electronic address: zangna1214@126.com.
Children's Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is no vaccine or specific antiviral treatment for HCoVs infection. The use of type I interferons for coronavirus is still under great debate in clinical practice. MATERIALS AND

methodsA literature search of all relevant studies published on PubMed, Cochrane library, Web of Science database, Science Direct, Wanfang Data, and China National Knowledge Infrastructure (CNKI) until February 2020 was performed.

resultsOf the 1081 identified articles, only 15 studies were included in the final analysis. Comorbidities and delay in diagnosis were significantly associated with case mortality. Type I interferons seem to improve respiratory distress, relieve lung abnormalities, present better saturation, reduce needs for supplemental oxygen support. Type I interferons seem to be well tolerated, and don't increase life threating adverse effects. Data on IFNs in HCoVs are limited, heterogenous and mainly observational.

conclusionsCurrent data do not allow making regarding robust commendations for the use of IFNs in HCoVs in general or in specific subtype. But we still recommend type I interferons serving as first-line antivirals in HCoVs infections within local protocols, and interferons may be adopted to the treatments of the SARS-CoV-2 as well. Well-designed large-scale prospective randomized control trials are greatly needed to provide more robust evidence on this topic.

Indexed as

Antiviral AgentsBetacoronavirusCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentHumansInterferon Type IMiddle East Respiratory Syndrome CoronavirusObservational Studies as TopicPandemicsPneumonia, ViralSARS-CoV-2Severe Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusSurvival AnalysisTreatment OutcomeAntiviral AgentsInterferon Type IHuman coronavirusMERS-CoVSARS-CoVSARS-CoV-2Type I interferons

Identifiers

PMID32645630
PMCPMC7315954
OpenAlexW3037701928

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.