SynthesisAdvances in therapy2020
Perspectives on the Early Quality of Evidence Guiding the Therapeutic Management of SARS-CoV-2: A Systematic Literature Review.
Synthesis in Advances in therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- COVID-19 treatment of hospital patients worldwide at the onset of the pandemic in 2020: a systematic review.BMC infectious diseases · 2025Pooled it
- SARS-COV-2, infection, transmission, transcription, translation, proteins, and treatment: A review.International journal of biological macromolecules · 2021Review
- A complementary critical appraisal on systematic reviews regarding the most efficient therapeutic strategies for the current COVID-19 (SARS-CoV-2) pandemic.Journal of medical virology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak is a serious health concern. Repurposing of existing drugs indicated for other conditions seems to be the first choice for immediate therapeutic management. The quality of early evidence favoring the different treatment options needs to be apprised for informed decision-making.
methodsIn this systematic literature review, we apprised the quality of available evidence for different therapeutic options and also the basis for different treatment guidelines. To include all studies that are in different stages of publication, we also included studies from the preprint servers BioRxiv and MedRxiv and published studies from PubMed.
resultsWe retrieved 5621 articles and included 22 studies for the systematic review. Based on our study, chloroquine/hydroxychloroquine, either alone or in combination with azithromycin, remdesivir, corticosteroids, convalescent sera, ritonavir/lopinavir, tocilizumab and arbidol were evaluated as therapeutic options. The data from different study designs reveal contradictory findings except for convalescent sera for which the evidence available is only from case series. Based on this early evidence, various national guidelines recommend remdesivir, convalescent sera, corticosteroids and hydroxychloroquine in different subsets of patients.
conclusionEstablishing consensus with respect to the end points to be assessed for respiratory viruses may enhance the quality of evidence in case of future pandemics. The systematic review highlighted the lacuna and methodologic deficiency in early clinical evidence and included an update on different therapeutic management guidelines. Further clinical evidence from the ongoing trials may lead to evolution of treatment guidelines with the addition of more therapeutic options.
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What OpenQuestion holds
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.