Evidence map›Paper›PMID 40455922›Full record

ArticlePLoS computational biology2025

Features influencing the health and economic impact of preventing COVID-19 in immunocompromised individuals.

Siyu Chen, Sudhir Venkatesan, Sofie Arnetorp, Klas Bergenheim, Sabada Dube, Wilhelmine Meeraus, Cátia Ferreira, Sylvia Taylor, Lisa J White

Abstract read
In one paragraph

Article in PLoS computational biology, 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

9 authors.

Siyu ChenDepartment of Public and Ecosystem Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America.ORCID 0000-0001-9418-2527
Sudhir VenkatesanMedical and Payer Evidence, BioPharmaceuticals Medical, AstraZeneca, Cambridge, United Kingdom.ORCID 0000-0002-2093-5781
Sofie ArnetorpHealth Economics & Payer Evidence, BioPharmaceuticals R.&D., AstraZeneca, Gothenburg, Sweden.
Klas BergenheimHealth Economics & Payer Evidence, BioPharmaceuticals R.&D., AstraZeneca, Gothenburg, Sweden.
Sabada DubeMedical Evidence, Vaccines and Immune Therapies Unit, AstraZeneca, Cambridge, United Kingdom.
Wilhelmine MeerausMedical Evidence, Vaccines and Immune Therapies Unit, AstraZeneca, Cambridge, United Kingdom.
Cátia FerreiraVaccines and Immune Therapies, BioPharmaceuticals Medical, AstraZeneca, Wilmington, Delaware, United States of America.
Sylvia TaylorSelf-employed, Cambridge, United Kingdom.
Lisa J WhiteModel Health Ltd, Oxford, United Kingdom.ORCID 0000-0002-6523-185X

Funding

AstraZeneca
6 · The paper itself

Abstract

Many immunocompromised individuals mount inadequate immune responses following COVID-19 vaccination, thus relying on other social distancing behaviours, particularly shielding, for protection, impacting their quality of life. However, little is known about historical/current levels and effectiveness of shielding or factors influencing individuals' decision to continue shielding. Long-acting antibody pre-exposure prophylaxis (LAAB-PrEP) provides direct protection against COVID-19 in immunocompromised individuals who have been and may continue to shield. However, the proportion and incidence of circulating variants for which LAAB-PrEP would be effective is unpredictable. Given this uncertain behavioural and immuno-epidemiological context, we developed a modelling framework to explore features that most impact health outcomes and cost effectiveness of long-term administration of LAAB-PrEP against COVID-19 infection in immunocompromised individuals in the English context. The model predicted that the incremental cost-effectiveness ratio (ICER) of LAAB-PrEP against COVID-19 in immunocompromised individuals will be largely driven by features of utility of shielding, current/future shielding behaviour, cost of shielding, risk of COVID-19 hospitalisation among immunocompromised individuals and the time horizon used for the cost-effectiveness analysis. The model estimated that for realistic ranges of influential factors, it is possible for LAAB-PrEP to be cost effective under the conditions that most immunocompromised individuals would shield indefinitely if it were not available but would switch to LAAB-PrEP if it were. Thus, if individuals stop shielding when taking LAAB-PrEP, then LAAB-PrEP is cost effective.

Indexed as

COVID-19Immunocompromised HostPre-Exposure ProphylaxisCost-Benefit AnalysisCOVID-19 VaccinesHumansSARS-CoV-2COVID-19 Vaccines

Identifiers

PMID40455922
PMCPMC12129335

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.