GuidelineInfluenza and other respiratory viruses2017
CONSISE statement on the reporting of Seroepidemiologic Studies for influenza (ROSES-I statement): an extension of the STROBE statement.
Guideline in Influenza and other respiratory viruses, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 7 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
30 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- The increasing complexity of arbovirus serology: An in-depth systematic review on cross-reactivity.PLoS neglected tropical diseases · 2023Pooled it
- A framework for seroepidemiologic investigations in future pandemics: insights from an evaluation of WHO's Unity Studies initiative.Health research policy and systems · 2023Pooled it
- Serological Evidence of Human Infection With Avian Influenza A(H7N9) Virus: A Systematic Review and Meta-analysis.The Journal of infectious diseases · 2022Pooled it
- Serological evidence of human infection with SARS-CoV-2: a systematic review and meta-analysis.The Lancet. Global health · 2021Pooled it
- Serological evidence of human infections with highly pathogenic avian influenza A(H5N1) virus: a systematic review and meta-analysis.BMC medicine · 2020Pooled it
- CONSISE statement on the reporting of Seroepidemiologic Studies for influenza (ROSES-I statement): an extension of the STROBE statement.Influenza and other respiratory viruses · 2017Guideline
- Epidemiological features of influenza circulation in swine populations: A systematic review and meta-analysis.PloS one · 2017Pooled it
- A Bayesian modelling framework to improve antibody titer estimation applied to RSV dilution series data.Nature communications · 2026Article
- Lack of harmonisation in immunological data: challenges in synthesising data during the COVID-19 pandemic.EBioMedicine · 2026Review
- Article
- [Development of Reporting Guidelines of Articles in theJugan geon-gang gwa jilbyeong · 2025Article
- Quantifying the impact of pre-vaccination titre and vaccination history on influenza vaccine immunogenicity.Vaccine · 2025Article
- The case for development of a core outcome set (COS) and supplemental reporting guidelines for influenza vaccine challenge trial research in swine.Frontiers in veterinary science · 2025Article
- Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data.Epidemics · 2024Review
- Measures of Population Immunity Can Predict the Dominant Clade of Influenza A (H3N2) in the 2017-2018 Season and Reveal Age-Associated Differences in Susceptibility and Antibody-Binding Specificity.Influenza and other respiratory viruses · 2024Article
- Measures of population immunity can predict the dominant clade of influenza A (H3N2) in the 2017-2018 season and reveal age-associated differences in susceptibility and antibody-binding specificity.medRxiv : the preprint server for health sciences · 2024Article
- Antibody Response after Homologous and Heterologous Prime-Boost COVID-19 Vaccination in a Bangladeshi Residential University Cohort.Vaccines · 2024Article
- Does Vaccine-Induced Maternally-Derived Immunity Protect Swine Offspring against Influenza a Viruses? A Systematic Review and Meta-Analysis of Challenge Trials from 1990 to May 2021.Animals : an open access journal from MDPI · 2023Review
- Seroepidemiology of Lassa virus in pregnant women in Southern Nigeria: A prospective hospital-based cohort study.PLoS neglected tropical diseases · 2023Article
- Seroprevalence of anti-Lassa Virus IgG antibodies in three districts of Sierra Leone: A cross-sectional, population-based study.PLoS neglected tropical diseases · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
backgroundPopulation-based serologic studies are a vital tool for understanding the epidemiology of influenza and other respiratory viruses, including the early assessment of the transmissibility and severity of the 2009 influenza pandemic, and Middle East respiratory syndrome coronavirus. However, interpretation of the results of serologic studies has been hampered by the diversity of approaches and the lack of standardized methods and reporting.
objectiveThe objective of the CONSISE ROSES-I statement was to improve the quality and transparency of reporting of influenza seroepidemiologic studies and facilitate the assessment of the validity and generalizability of published results.
methodsThe ROSES-I statement was developed as an expert consensus of the CONSISE epidemiology and laboratory working groups. The recommendations are presented in the familiar format of a reporting guideline. Because seroepidemiologic studies are a specific type of observational epidemiology study, the ROSES-I statement is built upon the STROBE guidelines. As such, the ROSES-I statement should be seen as an extension of the STROBE guidelines.
resultsThe ROSES-I statement presents 42 items that can be used as a checklist of the information that should be included in the results of published seroepidemiologic studies, and which can also serve as a guide to the items that need to be considered during study design and implementation.
conclusionsWe hope that the ROSES-I statement will contribute to improving the quality of reporting of seroepidemiologic studies.
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Registered trials
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.