Evidence map›Paper›PMID 31851570›Full record

ArticleHuman vaccines & immunotherapeutics2020

Public health and economic impact of switching from a trivalent to a quadrivalent inactivated influenza vaccine in Mexico.

Guillermo M Ruiz-Palacios, John H Beigel, Maria Lourdes Guerrero, Lucile Bellier, Ramiro Tamayo, Patricia Cervantes, Fabián P Alvarez, Arturo Galindo-Fraga, Felipe Aguilar-Ituarte, Juan Guillermo Lopez

Open access · hybridAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Comparisons in the Health and Economic Assessments of Using Quadrivalent Versus Trivalent Influenza Vaccines: A Systematic Literature Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Pooled it
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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

10 authors at 4 institutions in 3 countries.

Guillermo M Ruiz-PalaciosDepartment of Infectious Diseases, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
John H BeigelDivision of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health, Bethesda, MD, US.ORCID 0000-0002-4879-4941
Maria Lourdes GuerreroDepartment of Infectious Diseases, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Lucile BellierCreativ-Ceutical, London, UK.
Ramiro TamayoSanofi LATAM, Mexico City, Mexico.
Patricia CervantesSanofi LATAM, Mexico City, Mexico.ORCID 0000-0001-9173-9000
Fabián P AlvarezSanofi Pasteur, Lyon, France.ORCID 0000-0003-3085-6275
Arturo Galindo-FragaSubdirección de Epidemiología Hospitalaria y Control de Calidad de la Atención, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.ORCID 0000-0002-2818-1160
Felipe Aguilar-ItuarteSanofi LATAM, Mexico City, Mexico.
Juan Guillermo LopezSanofi LATAM, Mexico City, Mexico.
Sanofi (Mexico) · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXNational Institutes of Health · USSanofi (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most influenza vaccines in Mexico are trivalent, containing two influenza A strains and a single B strain. Quadrivalent influenza vaccines (QIVs) extend protection by including an additional B strain to cover both co-circulating B lineages. Here, we retrospectively estimated how a switch to QIV in Mexico would have impacted influenza-related health outcomes over the 2010/2011 to 2015/2016 influenza seasons, and prospectively estimated the budget impact of using QIV in Mexico's national immunization program from 2016/2017 to 2020/2021. For the retrospective estimation, we used an age-stratified static model incorporating Mexico-specific input parameters. For the prospective estimation, we used a budget impact model based on retrospective attack rates considering predicted future vaccination coverage. Between 2010/2011 and 2015/2016, a switch to QIV would have prevented 270,596 additional influenza cases, 102,000 general practitioner consultations, 140,062 days of absenteeism, 3,323 hospitalizations, and 312 deaths, saving Mex$214 million (US$10.8 million) in third-party payer costs. In the prospective analysis, a switch to QIV was estimated to prevent an additional 225,497 influenza cases, 85,000 general practitioner consultations, 116,718 days of absenteeism, 2,769 hospitalizations, and 260 deaths, saving Mex$178 million (US$9 million) in third-party payer costs over 5 years. Compared to the trivalent vaccine, the benefit and costs saved with QIV were sensitive to the distribution of influenza A vs. B cases and trivalent vaccine effectiveness against the mismatched B strain. These results suggest switching to QIV in Mexico would benefit healthcare providers and society by preventing influenza cases, morbidity, and deaths, and reducing associated use of medical resources.

Indexed as

Influenza, HumanInfluenza VaccinesCost-Benefit AnalysisHumansMexicoProspective StudiesPublic HealthRetrospective StudiesVaccines, InactivatedInfluenza VaccinesVaccines, InactivatedBudget impactcosteconomic analysisinfluenzainfluenza B virusMexicopublic health impactseasonal influenzavaccinationvaccine

Identifiers

PMID31851570
PMCPMC7227722
OpenAlexW2996222883

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.