Evidence map›Paper›PMID 33341328›Full record

ArticleMedical hypotheses2021

Does tetanus vaccination contribute to reduced severity of the COVID-19 infection?

Christopher D Rickett, Kristyn J Maschhoff, Sreenivas R Sukumar

Abstract read
In one paragraph

Article in Medical hypotheses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Harnessing the Natural Toxic Metabolites in COVID-19.Evidence-based complementary and alternative medicine : eCAM · 2022
    Review
  4. 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

3 authors.

Christopher D RickettHewlett Packard Enterprise, USA.
Kristyn J MaschhoffHewlett Packard Enterprise, USA.
Sreenivas R SukumarHewlett Packard Enterprise, USA. Electronic address: sreenivas.sukumar@hpe.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present the hypothesis to the scientific community actively designing clinical trials and recommending public health guidelines to control the pandemic that - "Tetanus vaccination may be contributing to reduced severity of the COVID-19 infection" - and urge further research to validate or invalidate the effectiveness of the tetanus toxoid vaccine against COVID-19. This hypothesis was revealed by an explainable artificial intelligence system unleashed on open public biomedical datasets. As a foundation for scientific rigor, we describe the data and the artificial intelligence system, document the provenance and methodology used to derive the hypothesis and also gather potentially relevant data/evidence from recent studies. We conclude that while correlations may not be reason for causation, correlations from multiple sources is more than a serendipitous coincidence that is worthy of further and deeper investigation.

Indexed as

Models, BiologicalSARS-CoV-2Artificial IntelligenceClostridium tetaniCOVID-19COVID-19 VaccinesDatabases, PharmaceuticalDrug RepositioningHumansPandemicsSequence Homology, Amino AcidSeverity of Illness IndexSpike Glycoprotein, CoronavirusTetanus ToxinTetanus ToxoidVaccinationCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Tetanus ToxinTetanus Toxoid

Identifiers

PMID33341328
PMCPMC7695568

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.