Evidence map›Paper›PMID 37820782›Full record

Trial reportInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2023

Stochastic interventional approach to assessing immune correlates of protection: Application to the COVE messenger RNA-1273 vaccine trial.

Nima S Hejazi, Xiaoying Shen, Lindsay N Carpp, David Benkeser, Dean Follmann, Holly E Janes, Lindsey R Baden, Hana M El Sahly, Weiping Deng, Honghong Zhou and 3 more

Open access · goldAbstract readClinical Trial, Phase III
In one paragraph

Trial report in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

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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

13 authors at 9 institutions in 1 country.

Nima S HejaziDepartment of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, USA.
Xiaoying ShenDepartment of Surgery and Duke Human Vaccine Institute, Duke University Medical Center, Durham, USA.
Lindsay N CarppVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA.
David BenkeserDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA.
Dean FollmannBiostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA.
Holly E JanesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA.
Lindsey R BadenDivision of Infectious Diseases, Harvard Medical School, Brigham and Women's Hospital, Boston, USA.
Hana M El SahlyDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, USA.
Weiping DengInfectious Disease Development, Moderna, Inc., Cambridge, USA.
Honghong ZhouInfectious Disease Development, Moderna, Inc., Cambridge, USA.
Brett LeavInfectious Disease Development, Moderna, Inc., Cambridge, USA.
David C MontefioriDepartment of Surgery and Duke Human Vaccine Institute, Duke University Medical Center, Durham, USA.
Peter B GilbertVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, USA; Department of Biostatistics, University of Washington, Seattle, USA. Electronic address: pgilbert@fredhutch.org.
Moderna Therapeutics (United States) · USDuke Medical Center · USUniversity of Washington · USBaylor College of Medicine · USBrigham and Women's Hospital · USEmory University · USFred Hutch Cancer Center · USHarvard University · USNational Institutes of Health · US

Funding

SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
Collaborative Influenza Vaccine Innovation Centers (CIVICs): Component A: Vaccine Center75N93019C00050 · NIAID · DUKE UNIVERSITY · PI MOODY, TONY · 2019 to 2025
$69.1M
Statistical Methods in HIV Vaccine Efficacy TrialsR37AI054165 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert · 2010 to 2026
$6.7M
NIAID NIH HHS 75N93019C00050NIAID NIH HHS R37 AI054165NIAID NIH HHS UM1 AI068635
6 · The paper itself

Abstract

backgroundStochastic interventional vaccine efficacy (SVE) analysis is a new approach to correlate of protection (CoP) analysis of a phase III trial that estimates how vaccine efficacy (VE) would change under hypothetical shifts of an immune marker.

methodsWe applied nonparametric SVE methodology to the COVE trial of messenger RNA-1273 vs placebo to evaluate post-dose 2 pseudovirus neutralizing antibody (nAb) titer against the D614G strain as a CoP against COVID-19. Secondly, we evaluated the ability of these results to predict VE against variants based on shifts of geometric mean titers to variants vs D614G. Prediction accuracy was evaluated by 13 validation studies, including 12 test-negative designs.

resultsSVE analysis of COVE supported post-dose 2 D614G titer as a CoP: estimated VE ranged from 66.9% (95% confidence interval: 36.2, 82.8%) to 99.3% (99.1, 99.4%) at 10-fold decreased or increased titer shifts, respectively. The SVE estimates only weakly predicted variant-specific VE estimates (concordance correlation coefficient 0.062 for post 2-dose VE).

conclusionSVE analysis of COVE supports nAb titer as a CoP for messenger RNA vaccines. Predicting variant-specific VE proved difficult due to many limitations. Greater anti-Omicron titers may be needed for high-level protection against Omicron vs anti-D614G titers needed for high-level protection against pre-Omicron COVID-19.

Indexed as

COVID-19VaccinesAntibodies, NeutralizingAntibodies, ViralHumansRNA, MessengerAntibodies, NeutralizingAntibodies, ViralRNA, MessengerVaccinesCorrelate of protectionNeutralizing antibody titerPhase III trialStochastic interventional vaccine efficacy analysis

Identifiers

PMID37820782
PMCPMC10841741
OpenAlexW4387563225

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.