Evidence map›Paper›PMID 35746453›Full record

ArticleVaccines2022

Vulnerability Predictors of Post-Vaccine SARS-CoV-2 Infection and Disease-Empirical Evidence from a Large Population-Based Italian Platform.

Giovanni Corrao, Matteo Franchi, Danilo Cereda, Francesco Bortolan, Olivia Leoni, Catia Rosanna Borriello, Petra Giulia Della Valle, Marcello Tirani, Giovanni Pavesi, Antonio Barone and 4 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Review
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

14 authors at 4 institutions in 1 country.

Giovanni CorraoNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0002-1034-8444
Matteo FranchiNational Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0001-9620-8057
Danilo CeredaDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.
Francesco BortolanDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.ORCID 0000-0003-1738-2415
Olivia LeoniDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.ORCID 0000-0002-6906-2424
Catia Rosanna BorrielloDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.
Petra Giulia Della ValleDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.ORCID 0000-0002-5964-3831
Marcello TiraniDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.
Giovanni PavesiDirectorate General for Health, Lombardy Region, 20124 Milan, Italy.
Antonio BaroneAzienda Regionale per l'Innovazione e gli Acquisti (ARIA) S.p.A., 20124 Milan, Italy.
Michele ErcolanoniAzienda Regionale per l'Innovazione e gli Acquisti (ARIA) S.p.A., 20124 Milan, Italy.
Jose JaraAzienda Regionale per l'Innovazione e gli Acquisti (ARIA) S.p.A., 20124 Milan, Italy.
Massimo GalliInfectious Diseases Unit, Luigi Sacco Hospital, 20157 Milan, Italy.ORCID 0000-0001-8887-6215
Guido BertolasoVaccination Campaign Management, Lombardy Region, 20124 Milan, Italy.
Ministero della Salute · ITUniversity of Milano-Bicocca · ITRegione LombardiaUniversity of Milan · IT

Funding

Fondazione Cariplo H45F20000870007Ministry of Education, Universities and Research 2017728JPK
6 · The paper itself

Abstract

We aimed to identify individual features associated with increased risk of post-vaccine SARS-CoV-2 infection and severe COVID-19 illness. We performed a nested case-control study based on 5,350,295 citizens from Lombardy, Italy, aged ≥ 12 years who received a complete anti-COVID-19 vaccination from 17 January 2021 to 31 July 2021, and followed from 14 days after vaccine completion to 11 November 2021. Overall, 17,996 infections and 3023 severe illness cases occurred. For each case, controls were 1:1 (infection cases) or 1:10 (severe illness cases) matched for municipality of residence and date of vaccination completion. The association between selected predictors (sex, age, previous occurrence of SARS-CoV-2 infection, type of vaccine received, number of previous contacts with the Regional Health Service (RHS), and the presence of 59 diseases) and outcomes was assessed by using multivariable conditional logistic regression models. Sex, age, previous SARS-CoV-2 infection, type of vaccine and number of contacts with the RHS were associated with the risk of infection and severe illness. Moreover, higher odds of infection and severe illness were significantly associated with 14 and 34 diseases, respectively, among those investigated. These results can be helpful to clinicians and policy makers for prioritizing interventions.

Indexed as

COVID-19predictorsSARS-CoV-2vaccinesvulnerability

Identifiers

PMID35746453
PMCPMC9230065
OpenAlexW4283456613

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.