Evidence map›Paper›PMID 27365363›Full record

ArticleAmerican journal of epidemiology2016

Detectable Risks in Studies of the Fetal Benefits of Maternal Influenza Vaccination.

Jennifer A Hutcheon, Deshayne B Fell, Michael L Jackson, Michael S Kramer, Justin R Ortiz, David A Savitz, Robert W Platt

Open access · hybridAbstract read
In one paragraph

Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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  13. THE AUTHORS REPLY.American journal of epidemiology · 2017
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  17. The safety of maternal immunization.Human vaccines & immunotherapeutics · 2016
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jennifer A Hutcheon
Deshayne B Fell
Michael L Jackson
Michael S Kramer
Justin R Ortiz
David A Savitz
Robert W Platt
University of British Columbia · CA

Funding

CIHR
6 · The paper itself

Abstract

Maternal influenza vaccination prevents influenza illness in both mothers and newborns. Results from some recent studies have suggested that influenza vaccination might also prevent adverse pregnancy outcomes, such as preterm birth. However, it is challenging to conduct epidemiologic studies to evaluate the benefits to the fetus of maternal influenza vaccination because the causal benefit of vaccination is likely only experienced by the small fraction of the cohort in whom influenza illness is prevented by vaccination. The plausibility of detecting true differences in risks between groups under such conditions is rarely discussed. We aimed to inform the interpretation of studies in which the fetal benefits of maternal influenza vaccination are evaluated by estimating detectable risk ratios and necessary sample sizes for different study scenarios. Estimates of rates of influenza illness, vaccine effectiveness, vaccine uptake, and preterm birth and of the association of influenza illness with preterm birth were identified from the published literature. We calculated detectable risk ratios for preterm birth in vaccinated versus unvaccinated women and the associated sample size requirements. Our results demonstrated that under most scenarios, plausible differences between groups will be extremely challenging to detect (risk ratios for preterm birth of 0.9 to 1.0) and will require sample sizes infeasible for prospective epidemiologic research. This suggests that the large fetal benefits from influenza vaccination observed in epidemiologic studies are unlikely to be causal.

Indexed as

Epidemiologic Research DesignConfounding Factors, EpidemiologicFemaleHumansInfant, NewbornInfluenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesOdds RatioOutcome Assessment, Health CarePregnancyPregnancy Complications, InfectiousPregnancy OutcomePremature BirthSample SizeInfluenza Vaccinesimmunizationinfluenza illnessinfluenza vaccinepregnancypregnancy complicationpreterm birthsample sizestatistical power

Identifiers

PMID27365363
PMCPMC4967598
OpenAlexW2473385426

What OpenQuestion holds

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Registered trials

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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.