Evidence map›Paper›PMID 40700358›Full record

ArticlePloS one2025

The infectious diseases clinical research program acute respiratory infection repository protocol: Opportunities to understand current and future epidemics.

Simon D Pollett, Rhonda E Colombo, Stephanie A Richard, Tahaniyat Lalani, Brianne Barton, Allison Malloy, Anthony Fries, Edward Parmelee, Scott Merritt, Mark Fritschlanski and 10 more

Abstract read
In one paragraph

Article in PloS one, 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

20 authors.

Simon D PollettInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.ORCID https://orcid.org/0009-0007-3050-0347
Rhonda E ColomboInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Stephanie A RichardInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Tahaniyat LalaniInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Brianne BartonInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Allison MalloyDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Anthony FriesUS Air Force School of Aerospace Medicine, Dayton, Ohio, United States of America.ORCID https://orcid.org/0000-0001-7556-1353
Edward ParmeleeInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Scott MerrittInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Mark FritschlanskiInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Edward E MitreDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Eric D LaingDepartment of Microbiology and Immunology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Kathleen PrattDepartment of Pathology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Eric C GargesInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Katrin MendeInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Mark SimonsInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Brian AganInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
David TribbleInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Robert O'ConnellInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.
Timothy H BurgessInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute respiratory infections (ARI) are a major cause of morbidity and lost workdays in both military and non-military populations. To better understand these infections and their outcomes, the Infectious Diseases Clinical Research Program has enabled nine major ARI clinical research protocols in the last decade, including observational studies and trials, spanning emerging and reemerging ARI threats including Severe Acute Respiratory Syndrome Coronavirus 2, influenza, adenovirus, entero/rhinovirus, human metapneumovirus, respiratory syncytial virus, and other pathogens. These protocols have resulted in epidemiological, clinical and laboratory data and biospecimens from over 26,000 participants, most of whom were beneficiaries of a geographically distributed Military Health System.

methodsThe Acute Respiratory Infection Repository Protocol establishes a unique Department of Defense (DoD) research resource through the pooling of data and specimens from nine ARI protocols into a master, standardized database with a linked specimen repository. This will enable further targeted scientific questions in participant-level pooled meta-analyses and will serve as an on-demand repository for rapid assay development, sample size estimations for prospective studies, and observational study/clinical trial design (including as part of future rapid pandemic research response). Accordingly, the objectives and study design of this protocol are broad. This protocol will allow analyses on outcomes including: (i) short-term ARI outcomes such as hospitalization, work days lost, symptom severity and duration; (ii) post-acute ARI outcomes, including persistence of symptoms, return-to-health, post-ARI medical encounters; (iii) vaccine effectiveness for Coronavirus disease 2019 (COVID-19), influenza, and adenovirus vaccines; (iv) ARI infection and vaccination elicited immune responses (humoral, T-cell, other); (v) therapeutic effectiveness of COVID-19 and influenza antivirals (acute symptoms, hospitalization, post-acute sequelae); (vi) effectiveness of non-pharmaceutical interventions (e.g., masking) against infection; (vii) prognostic and mechanistic host viral biomarkers which correlate with the above outcomes; (viii) ARI diagnostic assay validity and performance. This repository protocol is inherently broad in scope; the collation of standardized data and phenotype-linked specimens is a fundamental, primary objective. DISCUSSION: This protocol will support statistical and laboratory analyses, including activities related to rapid epidemic response such as assay development and rapid sample size calculations for clinical trials. A series of more specific scientific questions from current and future collaborators will leverage this joint database and specimen repository; these questions will target important aspects of ARI infection, transmission, outcomes, and treatment. Future protocols (and ongoing data from existing IDCRP protocols) will be added to this collaborative repository protocol.

Indexed as

Respiratory Tract InfectionsAcute DiseaseBiomedical ResearchCOVID-19EpidemicsHumansSARS-CoV-2United States

Identifiers

PMID40700358
PMCPMC12286355

What OpenQuestion holds

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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.