Evidence map›Paper›PMID 32838169›Full record

ReviewSN comprehensive clinical medicine2020

Systematic and Statistical Review of Coronavirus Disease 19 Treatment Trials.

Juan A Siordia, Michael Bernaba, Kenji Yoshino, Abid Ulhaque, Sooraj Kumar, Mario Bernaba, Edward Bergin

Open access · bronzeAbstract readReview
In one paragraph

Review in SN comprehensive clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Current evidence for COVID-19 therapies: a systematic literature review.European respiratory review : an official journal of the European Respiratory Society · 2021
    Pooled it
  3. Pooled it
  4. Trial
  5. Research in pharmaceutical sciences · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Scoping insight on antiviral drugs against COVID-19.Arabian journal of chemistry · 2021
    Review
  11. COVID-19 Repeated Convalescent Plasma Collection: Analysis of 149 Donations from 88 French Military Health Workers.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2021
    Article
  12. Article
  13. Review
  14. Review
  15. 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

7 authors at 1 institution in 1 country.

Juan A SiordiaDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.ORCID 0000-0002-9772-4018
Michael BernabaDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.
Kenji YoshinoDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.
Abid UlhaqueDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.
Sooraj KumarDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.
Mario BernabaDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.
Edward BerginDepartment of Medicine, Banner University Medical Center South Campus, 2800 E. Ajo Way, Tucson, AZ 85713 USA.
Banner - University Medical Center Tucson · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The following systematic review and meta-analysis compile the current data regarding human controlled COVID-19 treatment trials. An electronic search of the literature compiled studies pertaining to human controlled treatment trials with COVID-19. Medications assessed included lopinavir/ritonavir, arbidol, hydroxychloroquine, tocilizumab, favipiravir, heparin, and dexamethasone. Statistical analyses were performed for common viral clearance endpoints whenever possible. Lopinavir/ritonavir showed no significant effect on viral clearance for COVID-19 cases (OR 0.95 [95% CI 0.50-1.83]). Hydroxychloroquine also showed no significant effect on COVID-19 viral clearance rates (OR 2.16 [95% CI 0.80-5.84]). Arbidol showed no 7-day (OR 1.63 [95% CI 0.76-3.50]) or 14-day viral (OR 5.37 [95% CI 0.35-83.30]) clearance difference compared to lopinavir/ritonavir. Review of literature showed no significant clinical improvement with lopinavir/ritonavir, arbidol, hydroxychloroquine, or remdesivir. Tocilizumab showed mixed results regarding survival. Favipiravir showed quicker symptom improvement compared to lopinavir/ritonavir and arbidol. Heparin and dexamethasone showed improvement with severe COVID-19 cases requiring supplemental oxygenation. Current medications do not show significant effect on COVID-19 viral clearance rates. Tocilizumab showed mixed results regarding survival. Favipiravir shows favorable results compared to other tested medications. Heparin and dexamethasone show benefit especially for severe COVID-19 cases.

Indexed as

ArbidolCoronavirusCOVID-19DexamethasoneFavipiravirHeparinHydroxychloroquineLopinavir/ritonavirRemdesivirSARS-CoV2TocilizumabTreatmentTrials

Identifiers

PMID32838169
PMCPMC7361001
OpenAlexW3043241379

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.