Evidence map›Paper›PMID 40733659›Full record

ReviewVaccines2025

Vaccine Dosing Considerations in Product Labels and ACIP Recommendations: A Review.

Kunal Saxena, Kate Mevis, Sofia Toso, Elif Alyanak, Natasha Hansen, Aliana Potter, Molly Flannery, Mona Saraiya

Abstract readReview
In one paragraph

Review in Vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Kunal SaxenaOutcomes Research, Merck & Co., Inc., Rahway, NJ 07065, USA.ORCID 0000-0002-2531-2305
Kate MevisGlobal Public Policy, Merck & Co., Inc., Rahway, NJ 07065, USA.
Sofia TosoAvalere Health, Washington, DC 20005, USA.ORCID 0009-0001-8357-8603
Elif AlyanakAvalere Health, Washington, DC 20005, USA.
Natasha HansenAvalere Health, Washington, DC 20005, USA.
Aliana PotterAvalere Health, Washington, DC 20005, USA.
Molly FlanneryGlobal Regulatory Policy, Merck & Co., Inc., Rahway, NJ 07065, USA.
Mona SaraiyaGlobal Medical Affairs, Merck & Co., Inc., Rahway, NJ 07065, USA.ORCID 0000-0002-4527-828X

Funding

Merck & Co., Inc., Rahway, NJ, USA (United States) N/A
6 · The paper itself

Abstract

In the United States, the Food and Drug Administration (FDA) is the regulatory authority with the responsibility to evaluate scientific data included in each vaccine's prescribing information (e.g., safety, indication(s) for use, and dosing schedule) based on several factors, including safety, quality, potency, and effectiveness in preventing disease to assess benefit/risk prior to approval. After approval, the FDA continues to work with sponsors to ensure safety and effectiveness data in the prescribing information remain current. In conjunction with FDA approval or authorization, the Advisory Committee on Immunization Practices (ACIP) recommends immunization dosing schedules and target populations for use. ACIP recommendations that are adopted by the Centers for Disease Control and Prevention (CDC) Director inform national immunization schedules, which influence immunization access, coverage, and provider behavior. This targeted review aims to explore historical instances when vaccine dosing regimens approved by the FDA differ from those recommended by the ACIP, focusing on the frequency and factors behind these differences to inform future ACIP recommendations. Out of

Indexed as

ACIPadditivedeviationdosingevidence-basedFDAlabelrecommendationreductiveregimenschedulevaccine

Identifiers

PMID40733659
PMCPMC12300105

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.