Evidence map›Paper›PMID 35812166›Full record

ArticleAdvances in virology2022

Effectiveness of Early Favipiravir Therapy in Hospitalised COVID-19 Patients.

Abdulrahman Tawfik, Abdulrahman Alzahrani, Sami Alharbi, Jamal Almitairi, Arwa Alzahrani, Mohammed Ali Alshehri, Mohammed S Aldughaim, Hani Alothaid

Open access · goldAbstract read
In one paragraph

Article in Advances in virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Perspective: repurposed drugs for COVID-19.Archives of medical science : AMS · 2022
    Article
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

8 authors at 5 institutions in 1 country.

Abdulrahman TawfikMedical Cluster of Infection Prevention and Control, Alqassim, Saudi Arabia.ORCID https://orcid.org/0000-0002-6697-1331
Abdulrahman AlzahraniDepartment of Applied Medical Sciences, Applied College, Al Baha University, Al-Baha, Saudi Arabia.
Sami AlharbiDepartment of Internal Medicine, King Fahad Specialist Hospital, Alqassim, Saudi Arabia.ORCID https://orcid.org/0000-0003-3529-4267
Jamal AlmitairiDepartment of Clinical Service Line, King Fahad Specialist Hospital, Alqassim, Saudi Arabia.
Arwa AlzahraniCollege of Medicine, University of Hail, Saudi Arabia.
Mohammed Ali AlshehriFaculty of Applied Medical Sciences, Al Baha University, Al-Baha, Saudi Arabia.
Mohammed S AldughaimResearch Center, King Fahad Medical City, P.O. Box. 59046, Riyadh 11525, Saudi Arabia.
Hani AlothaidFaculty of Applied Medical Sciences, Al Baha University, Al-Baha, Saudi Arabia.ORCID https://orcid.org/0000-0003-0132-558X
Al Baha University · SAKing Fahad Specialist Hospital · SAUniversity of Ha'il · SAKing Fahd Medical City · SASaudi Center for Disease Prevention and Control · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a disease caused by a novel coronavirus with no specific, standard treatment. We investigated the clinical data of COVID-19 patients admitted to King Fahad Specialist Hospital (KFSH) in Buraydah by comparing the patients who were treated early with favipiravir (within 3 days of admission) to patients who were treated after three days of admission or not treated. 165 patients were confirmed with PCR tests and admitted to KFSH for treatment. Comorbidities contributed significantly to increasing the length of stay in hospital at 11.4 ± 0.8 days compared to patients with no comorbidities at 8.6 ± 0.9 days (

Identifiers

PMID35812166
PMCPMC9259373
OpenAlexW4283728340

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.