Evidence map›Paper›PMID 35798146›Full record

Observational studyClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2022

The impact of COVID-19 vaccination programme in the Republic of San Marino: Focus on effectiveness of Gam-Covid-Vac.

Giuseppe Tonnara, Pierluca Piselli, Claudia Cimaglia, Massimo Arlotti, Elena Sacchini, Samanta Manoni, Antonio Zani, Fausto Muccioli, Anna Laderchi, Sergio Rabini and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

14 authors.

Giuseppe TonnaraIstituto per la Sicurezza Sociale, San Marino.
Pierluca PiselliIstituto Nazionale per le Malattie Infettive "L. Spallanzani", IRCCS, Rome, Italy. Electronic address: pierluca.piselli@inmi.it.
Claudia CimagliaIstituto Nazionale per le Malattie Infettive "L. Spallanzani", IRCCS, Rome, Italy.
Massimo ArlottiIstituto per la Sicurezza Sociale, San Marino.
Elena SacchiniIstituto per la Sicurezza Sociale, San Marino.
Samanta ManoniIstituto per la Sicurezza Sociale, San Marino.
Antonio ZaniIstituto per la Sicurezza Sociale, San Marino.
Fausto MuccioliIstituto per la Sicurezza Sociale, San Marino.
Anna LaderchiIstituto per la Sicurezza Sociale, San Marino.
Sergio RabiniIstituto per la Sicurezza Sociale, San Marino.
Andrea AntinoriIstituto Nazionale per le Malattie Infettive "L. Spallanzani", IRCCS, Rome, Italy.
Francesco VaiaIstituto Nazionale per le Malattie Infettive "L. Spallanzani", IRCCS, Rome, Italy.
Emanuele NicastriIstituto Nazionale per le Malattie Infettive "L. Spallanzani", IRCCS, Rome, Italy.
Enrico GirardiIstituto Nazionale per le Malattie Infettive "L. Spallanzani", IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe adenovirus-based vaccine Gam-COVID-Vac (Sputnik V) showed promising effectiveness in a phase 3 clinical trial; however, data concerning its impact at a population level are scarce. The Republic of San Marino (RSM) conducted a SARS-CoV-2 vaccination programme mainly based (>80%) on Gam-COVID-Vac. Our aims were to investigate the impact of Gam-COVID-Vac vaccination programme and its effectiveness in a retrospective observational study based on the entire RSM population aged ≥12 years.

methodsWe calculated the incidence rate and the vaccine effectiveness (VE) in the entire RSM population not previously infected, against SARS-CoV-2 infection and COVID-19-related hospitalization, from 25 February to 1 October 2021, considering any vaccine and separately according to the vaccine used. Vaccine effectiveness was calculated using a multivariable negative binomial regression model as 1-Incidence Rate Ratio.

resultsDuring the study period, 21 568/28 791 (74.9%) not previously infected subjects received at least one dose of the Gam-COVID-Vac (84%) or BNT162b2, vaccines with 98% completing the vaccination schedule. Overall, 1634 SARS-CoV-2 infections and 166 COVID-19-related hospitalizations were observed with 17 COVID-19-related deaths reported. Incidence rates of SARS-CoV-2 infection and COVID-19-related hospitalization were 7.11 and 0.49/100 000 person-days in the fully vaccinated population, respectively. The adjusted overall VE was 67.6% (95% CI: 61.8-72.5) against SARS-CoV-2 infection and 87.9% (95% CI: 77.4-93.5) against COVID-19-related hospitalizations. Gam-COVID-Vac against SARS-CoV-2 infection VE peaked 91.8% (95% CI: 86.3-95.1) in the first bimester from the second dose, declining to 57.8% (95% CI: 42.2-69.2) at 6 months. Protection against hospitalization with COVID-19 was overall 91.6% (95% CI: 81.5-96.2), with no relevant waning trend over time. DISCUSSION: Our study demonstrated the effectiveness of overall vaccination (Gam-COVID-Vac [84%] and BNT162b2 [16%]) in the prevention SARS-CoV-2 infection (pre-Omicron variant), waning over time but still with sustainable effectiveness against COVID-19-related hospitalization in the Republic of San Marino.

Indexed as

COVID-19COVID-19 VaccinesBNT162 VaccineHumansSan MarinoSARS-CoV-2VaccinationBNT162 VaccineCOVID-19 VaccinesCOVID-19EffectivenessGam COVID-VacSARS-CoV-2Sputnik VVaccination

Identifiers

PMID35798146
PMCPMC9251905

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.