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Record W4404122455 · doi:10.1016/j.lanmic.2024.06.004

Yellow fever breakthrough infections after yellow fever vaccination: a systematic review and meta-analysis

2024· review· en· W4404122455 on OpenAlexaboutno aff
Jenny L Schnyder, Bache E Bache, Matthijs R. A. Welkers, René Spijker, Frieder Schaumburg, Abraham Goorhuis, Martin P. Grobusch, Hanna K de Jong

Bibliographic record

VenueThe Lancet Microbe · 2024
Typereview
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
FundersAmsterdam University Medical Centers
KeywordsMeta-analysisYellow feverMedicineVaccinationVirologySystematic reviewImmunologyMEDLINEBiologyInternal medicineVirus

Abstract

fetched live from OpenAlex

BACKGROUND: Yellow fever vaccination is considered to provide effective long-term immunity. However, yellow fever breakthrough infections in vaccinated patients have been reported. In this systematic review and meta-analysis we aimed to identify and summarise all documented symptomatic yellow fever breakthrough infections in the literature occurring less than 10 years and 10 years or more after primary yellow fever vaccination. METHODS: We searched MEDLINE (Ovid), Embase (Ovid), and Global Index Medicus for records published between Jan 1, 1936 (introduction of yellow fever vaccination) and June 16, 2023. We included prospective and retrospective cohort studies, case series and reports, and epidemiological reports from national and international health organisations reporting symptomatic yellow fever among individuals vaccinated 30 days or more before symptom onset. We excluded cases vaccinated less than 30 days before symptom onset. The primary outcome for the meta-analysis was the proportions of vaccinees among virologically confirmed and probable cases of yellow fever (IgM seroconversion without seroconversion to other flaviviruses). Risk of bias was assessed with an adapted version of the Newcastle-Ottawa Scale. Records of moderate or good quality (probable or confirmed yellow fever diagnosis with documented proof of previous vaccination) were included for random-effects meta-analysis. This systematic review and meta-analysis is registered with PROSPERO, number CRD42023450205. FINDINGS: After reviewing 1975 records, 37 records reported a total of 6951 yellow fever cases, of which 537 were vaccinated. 31 records were of low quality. Nine confirmed and 24 probable cases with proof of previous yellow fever vaccination were identified, all from Brazil. Confirmed cases were vaccinated 3 months to 3 years before symptom onset; of these patients two fell severely ill and died. The pooled proportion of verified yellow fever breakthrough infections among probable and confirmed cases was 3% (95% CI 1-19%). No confirmed yellow fever breakthrough infections were identified occurring 10 years or more after yellow fever vaccination. INTERPRETATION: Yellow fever breakthrough infections documented in literature are rare, and not necessarily more common 10 years or more after primary yellow fever vaccination. This finding suggests that a single dose of yellow fever vaccination is sufficient to provide lifelong protective immunity against symptomatic yellow fever. FUNDING: None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.032
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0180.040
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.367
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2024
Admission routes1
Has abstractyes

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