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Record W4406172317 · doi:10.1016/j.vaccine.2025.126706

Post-exposure prophylaxis for the prevention of measles: A systematic review

2025· review· en· W4406172317 on OpenAlexafffund
Joshua Montroy, Cathy Yan, Faizan Khan, Nicole Forbes, Ramya Krishnan, Matthew Tunis, Marina I. Salvadori

Bibliographic record

VenueVaccine · 2025
Typereview
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsPublic Health Agency of Canada
FundersPublic Health Agency of Canada
KeywordsMeaslesMedicineVirologyPre-exposure prophylaxisPost-exposure prophylaxisEnvironmental healthIntensive care medicineVaccinationHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

BACKGROUND: In susceptible individuals, post-exposure prophylaxis (PEP) is often recommended following exposure to measles, however the data that these recommendations are based on are limited. The objective of this systematic review was to evaluate the efficacy/effectiveness and safety of immunoglobulins (Ig) or measles-containing vaccine (MCV) for the prevention of measles. METHODS: Prospective studies evaluating the use of Ig or MCV as PEP in susceptible individuals exposed to measles were eligible for inclusion. For studies evaluating Ig, only studies published since 1970 were eligible. Critical outcomes included confirmed cases of measles infection, and death due to measles. The Cochrane Central Register of Controlled Trials, MEDLINE, Embase, and CINAHL were searched (until May 23, 2024). Risk of bias was assessed using the Cochrane ROBINS-I tool. RESULTS: Nine studies were included, totalling 660 patients receiving PEP (434 Ig and 226 MCV). Three studies were in children, one in adults, and five included both children and adults. Data were limited in immunocompromised or pregnant individuals. Details regarding intensity of exposure, time from exposure to treatment, and dose of Ig were poorly reported, and all studies presented moderate/serious concerns regarding the risk of bias. Measles infection rates in those who received Ig PEP ranged from 0 to 30 % and from 0 to 15 % in those receiving MCV PEP. Estimates of effectiveness ranged from 76 % (95 % CI 0-94) to 100 % (95 % CI 56.2-99.8 %) for Ig PEP, and from 83.4 % (95 % CI 34.4-95.8) to 100 % (95 % CI not estimable) for MCV PEP. DISCUSSION: Our systematic review provides a contemporary estimate of measles PEP effectiveness in the context of decreased measles antibody titres in donor-derived blood products over time, and highlights the key limitations to available evidence. Future research should seek to estimate effectiveness of measles PEP in populations of special interest, including immunocompromised and/or pregnant populations.

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)0.008
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.034
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.360
Teacher spread0.327 · 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 designSystematic review
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

Citations16
Published2025
Admission routes2
Has abstractyes

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