Evidence map›Paper›PMID 34254347›Full record

ArticleBiometrical journal. Biometrische Zeitschrift2021

Assurance in vaccine efficacy clinical trial design based on immunological responses.

Andrea Callegaro, Toufik Zahaf, Fabian Tibaldi

Abstract read
In one paragraph

Article in Biometrical journal. Biometrische Zeitschrift, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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

3 authors.

Andrea CallegaroGSK Vaccines, Rixensart, Belgium.ORCID 0000-0003-4805-5118
Toufik ZahafGSK Vaccines, Rixensart, Belgium.
Fabian TibaldiGSK Vaccines, Rixensart, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assurance of a future clinical trial is a key quantitative tool for decision-making in drug development. It is derived from prior knowledge (Bayesian approach) about the clinical endpoint of interest, typically from previous clinical trials. In this paper, we examine assurance in the specific context of vaccine development, where early development (Phase 2) is often based on immunological endpoints (e.g., antibody levels), while the confirmatory trial (Phase 3) is based on the clinical endpoint (very large sample sizes and long follow-up). Our proposal is to use the Phase 2 vaccine efficacy predicted by the immunological endpoint (using a model estimated from epidemiological studies) as prior information for the calculation of the assurance.

Indexed as

VaccinesBayes TheoremClinical Trials as TopicSample SizeVaccinesassuranceBayesian analysiscorrelate of risk modeldecision-makingexpected powerpredictionsprobability of successsurrogate endpointvaccine efficacyvaccine trials

Identifiers

PMID34254347
PMCPMC9292007

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.