Evidence map›Paper›PMID 42223189›Full record

ArticleHuman vaccines & immunotherapeutics2026

Expenditures attributable to infant lower respiratory tract infection due to respiratory syncytial virus in the US: A real-world study using the PharMetrics Plus Database, 2015-2023.

Ahuva Averin, Amy W Law, Mark Atwood, Erin Quinn, Derek Weycker

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2026. 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
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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

5 authors.

Ahuva AverinAdvisory, Avalere Health, Washington, DC, USA.
Amy W LawHTA, Value & Evidence, Pfizer Inc., New York, NY, USA.
Mark AtwoodAdvisory, Avalere Health, Washington, DC, USA.
Erin QuinnAdvisory, Avalere Health, Washington, DC, USA.
Derek WeyckerAdvisory, Avalere Health, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While several studies have reported the episodic expenditures attributable to lower respiratory tract illness due to respiratory syncytial virus (RSV-LRTI) among US infants, published estimates vary widely. Moreover, it is unknown whether expenditures due to infant RSV-LRTI vary relative to the RSV season or COVID-19 pandemic. A new study using a US healthcare claims database (2015-2023) was thus undertaken to estimate infant episodic expenditures attributable to RSV-LRTI requiring hospitalization or ambulatory care only, overall as well as by age at infection and gestational age in weeks (wGA) at birth. Analyses were also conducted relative to the RSV season and COVID-19 pandemic. Mean expenditures were $23,024 for hospitalized episodes, $2,298 for emergency department (ED) episodes, and $410 for other ambulatory episodes. Across care settings, mean expenditures nominally decreased with increasing by age at infection and birth wGA. Mean expenditures - irrespective of care setting - across subgroup analyses defined on RSV season and COVID-19 pandemic were largely consistent with results from overall analyses. In conclusion, findings from this study indicate that expenditures attributable to infant RSV-LRTI remain high, especially in the hospital and ED settings.

Indexed as

Health ExpendituresRespiratory Syncytial Virus InfectionsRespiratory Tract InfectionsAmbulatory CareCOVID-19Databases, FactualFemaleHospitalizationHumansInfantInfant, NewbornMaleRespiratory Syncytial Virus, HumanUnited Statescosts and cost analysisinfantrespiratory syncytial virusesRespiratory tract infections

Identifiers

PMID42223189
PMCPMC13228945

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.