Evidence map›Paper›PMID 40665636›Full record

SynthesisHuman vaccines & immunotherapeutics2025

Cost-effectiveness modeling for gender-neutral human papillomavirus vaccines: A systematic literature review.

Marisa Felsher, Marcie Fisher-Borne, Tufail Malik, Nita Santpurkar, Stephan Martin, Omer Zaidi, Wei Wang, Cody Palmer

Abstract readSystematic Review
In one paragraph

Synthesis in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Marisa FelsherOutcomes Research, Merck & Co. Inc, Rahway, USA.
Marcie Fisher-BorneOutcomes Research, Merck & Co. Inc, Rahway, USA.
Tufail MalikOutcomes Research, Merck & Co. Inc, Rahway, USA.
Nita SantpurkarHEOR & Market Access, OPEN Health, Bethesda, USA.
Stephan MartinHEOR & Market Access, OPEN Health, Bethesda, USA.
Omer ZaidiHEOR & Market Access, OPEN Health, Bethesda, USA.
Wei WangOutcomes Research, Merck & Co. Inc, Rahway, USA.
Cody PalmerOutcomes Research, Merck & Co. Inc, Rahway, USA.ORCID 0000-0002-9060-5999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gender-neutral vaccination (GNV) of human papillomavirus (HPV) may help reduce the transmission and incidence of HPV-related diseases. However, approximately 40 countries have implemented HPV GNV schedules. We systematically evaluated HPV GNV cost-effectiveness models from January 2008 to May 2024 using MEDLINE, Embase, and Cochrane to identify key drivers of cost-effectiveness results. Fifty-three publications were included, primarily from high-income countries. Vaccine coverage, price, protection duration, and discount rates impacted cost-effectiveness, with lower prices and protection against HPV-related diseases resulting in cost-effective results. Results in models that included adults (≥18 years) were mixed and dependent on price, inclusion of non-cervical HPV-related diseases, and age groups considered. We conclude that HPV GNV can be a cost-effective strategy for preventing HPV-related diseases. However, its cost-effectiveness is highly dependent on vaccine coverage, price, and inclusion of non-cervical HPV-related diseases in models. Further economic evaluations of HPV GNV in low- and middle-income countries are recommended.

Indexed as

Cost-Benefit AnalysisPapillomavirus InfectionsPapillomavirus VaccinesVaccinationAdolescentAdultFemaleHumansMalePapillomavirus Vaccinescervical cancercost-effectivenesseconomic evaluationHuman papillomavirusinterventionscreeningvaccination

Identifiers

PMID40665636
PMCPMC12269698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.