Estimating the impact of Shigella vaccines on growth outcomes and implications for clinical trial design
Vaccine·
- DOI
- 10.1016/j.vaccine.2026.128908
- PMID
- 42456559
- PMCID
- —
- OpenAlex
- W7168376124
- Study type
- Journal article
- Publisher
- Elsevier BV
- Article type
- journal-article
- Integrity
- current
Why this research matters now
Refining trial methodologies to capture developmental benefits may reinforce the clinical justification for deploying Shigella vaccines in endemic regions.
Structured evidence summary
Research question
How can clinical trial designs be optimized to accurately assess whether Shigella immunizations prevent linear growth faltering in pediatric populations?
Study design
The investigation utilized computational simulations calibrated with multi-site diarrheal disease data to evaluate statistical power across different trial configurations.
Population and setting
Simulated cohorts representing participants in large-scale Shigella vaccine trials, with analytical focus on individuals who would experience natural infection without immunization.
Main findings
Standard height-for-age z-score comparisons between randomized vaccine groups exhibit severely constrained statistical power. Analyzing the naturally infected subgroup combined with strategic adjustments to immunization schedules and measurement timing significantly increases the likelihood of detecting positive growth outcomes.
Public-health relevance
Refining trial methodologies to capture developmental benefits may reinforce the clinical justification for deploying Shigella vaccines in endemic regions.
Important limitations
This summary relies exclusively on the supplied single-article abstract and metadata, requiring the original paper for decision-grade interpretation. The simulation framework depended on historical diarrheal disease datasets rather than prospective vaccine trial observations.
GIDS interpretation
The publication provides methodological frameworks for evaluating vaccine-induced developmental impacts, offering contextual reference for researchers planning immunization efficacy studies.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 9 auditable classifier relationships to diseases, places, topics, and study design.