Evidence map›Paper›PMID 35252837›Full record

ArticleVaccine: X2022

COVID-19 susceptibility and vaccination coverage for measles, rubella and mumps in students and healthcare workers in Trieste hospitals (NE Italy).

Eleonora Cattaruzza, Lucia Radillo, Federico Ronchese, Corrado Negro, Francesca Rui, Paola De Michieli, Francesca Larese Filon

Open access · goldAbstract read
In one paragraph

Article in Vaccine: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Are Measles-Mumps-Rubella (MMR) Antibodies Friends or Foes for Covid-19 Disease?Archivum immunologiae et therapiae experimentalis · 2023
    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

7 authors at 2 institutions in 1 country.

Eleonora CattaruzzaScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
Lucia RadilloScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
Federico RoncheseScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
Corrado NegroScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
Francesca RuiScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
Paola De MichieliScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
Francesca Larese FilonScuola di Specializzazione in Medicina del Lavoro, Università di Trieste.
University of Trieste · ITAzienda Sanitaria Universitaria Integrata di Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasles, mumps, and rubella (MMR) vaccines have been suggested as preventive measures to protect subjects from the worst sequelae of COVID-19 infection because neutralizing antibodies can cross-react with other viruses.

aimTo verify COVID-19 infection in MMR vaccinated and non-vaccinated healthcare workers and medical students in Trieste Hospitals.

resultsNurse aids resulted in significantly more infections than structured physicians (OR 1.80; 95% CI 1.14-2.80) while students resulted in less infections (OR, 0.66; 95% CI 0.43-1.01). The presence of an MMR vaccination was inversely associated with COVID-19 (OR, 0.77; 95% CI 0.61-0.96) but only in univariate analysis. In the multivariable logistic regression analysis, MMR vaccination lost statistical significance (OR, 0.86; 95%CI 0.62-1.20).On 13 HCWs hospitalized for COVID-19, 11 resulted not vaccinated for MMR. DISCUSSION: Our study found a mild, non-significant reduction in SARS-CoV-2 infections in workers vaccinated with MMR.

Identifiers

PMID35252837
PMCPMC8883792
OpenAlexW4214764677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.