Evidence map›Paper›PMID 32682930›Full record

ArticleJournal of global antimicrobial resistance2020

Could Bordetella pertussis vaccine protect against coronavirus COVID-19?

Usama M Alkholy, Mohamed E Salama, Hagar Mahmoud, Ahmed Taher, Khaled M Elsayes

Open access · goldAbstract read
In one paragraph

Article in Journal of global antimicrobial resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Value of Immunizations during the COVID-19 Emergency.International journal of environmental research and public health · 2021
    Review
  7. 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

5 authors at 3 institutions in 2 countries.

Usama M AlkholyZagazig University, Egypt. Electronic address: usamaalkoly@yahoo.com.
Mohamed E SalamaMayo Clinic, Rochester, 200 First Street SW, Rochester, MN, USA. Electronic address: Salama.Mohamed@mayo.edu.
Hagar MahmoudThe University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, USA. Electronic address: HSMahmoud@mdanderson.org.
Ahmed TaherThe University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, USA. Electronic address: artaher@mdanderson.org.
Khaled M ElsayesThe University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, USA. Electronic address: KMElsayes@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USMayo Clinic · USZagazig University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to the World Health Organization (WHO), as of today, there are 2.165.500 confirmed cases of the novel coronavirus disease (COVID-19) and 145.705 deaths in over 185 countries. Unfortunately, despite the tremendous efforts to develop a vaccine initiated by various leading health institutions all over the world, it may be 18 months before a vaccine against the coronavirus is publicly available. We are proposing a theory about testing the use of the Bordetella pertussis vaccine to protect against COVID-19. We deliver this theory to the scientific community, aiming to raise the concern about it, and to provide us with support by realistic and experimental evidence.

Indexed as

BetacoronavirusBordetella pertussisCoronavirus InfectionsCOVID-19HumansModels, ImmunologicalPandemicsPertussis VaccinePneumonia, ViralSARS-CoV-2Pertussis Vaccine

Identifiers

PMID32682930
PMCPMC7365096
OpenAlexW3043405263

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.