Evidence map›Paper›PMID 31816067›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

Consensus Report on Shigella Controlled Human Infection Model: Immunological Assays.

Robert W Kaminski, Marcela F Pasetti, Ana Older Aguilar, Kristen A Clarkson, Sjoerd Rijpkema, A Louis Bourgeois, Dani Cohen, Ian Feavers, Calman A MacLennan

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Human vaccines & immunotherapeutics · 2026
    Review
  3. Shigellosis.Lancet (London, England) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Fourth Controlled Human Infection Model (CHIM) meeting - CHIMs in endemic countries, May 22-23, 2023.Biologicals : journal of the International Association of Biological Standardization · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Functional assays to evaluate antibody-mediated responses againstFrontiers in cellular and infection microbiology · 2023
    Review
  17. Review
  18. TheVaccines · 2022
    Review
  19. Article
  20. Review
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

9 authors.

Robert W KaminskiSubunit Enteric Vaccines and Immunology, Department of Enteric Infections, Bacterial Diseases Branch, Walter Reed Army Institute of Research, Silver Spring.
Marcela F PasettiCenter for Vaccine Development, University of Maryland School of Medicine, Baltimore.
Ana Older AguilarBill & Melinda Gates Foundation, Seattle, Washington.
Kristen A ClarksonSubunit Enteric Vaccines and Immunology, Department of Enteric Infections, Bacterial Diseases Branch, Walter Reed Army Institute of Research, Silver Spring.
Sjoerd RijpkemaDivision of Bacteriology, National Institute for Biological Standards and Control, Potters Bar, United Kingdom.
A Louis BourgeoisEnteric Vaccine Initiative, PATH, Washington, District of Columbia.
Dani CohenSchool of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Israel.
Ian FeaversDivision of Bacteriology, National Institute for Biological Standards and Control, Potters Bar, United Kingdom.
Calman A MacLennanBill & Melinda Gates Foundation, London, United Kingdom.

Funding

Serological assays to predict Shigella vaccine efficacyR01AI125841 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI PASETTI, MARCELA F · 2016 to 2020
$2.8M
Medical Research Council MR/P008852/1NIAID NIH HHS R01 AI125841
6 · The paper itself

Abstract

Moderate to severe diarrhea caused by Shigella is a global health concern due to its substantial contribution to morbidity and mortality in children aged <5 years in low- and middle-income countries. Although antibiotic treatment can be effective, emerging antimicrobial resistance, limited access, and cost affirm the role of vaccines as the most attractive countermeasure. Controlled human infection models (CHIMs) represent a valuable tool for assessing vaccine efficacy and potentially accelerating licensure. Currently, immunological analysis during CHIM studies is customized based on vaccine type, regimen, and administration route. Additionally, differences in type of immunoassays and procedures used limit comparisons across studies. In November 2017, an expert working group reviewed Shigella CHIM studies performed to date and developed consensus guidelines on prioritization of immunoassays, specimens, and collection time points. Immunoassays were ranked into 3 tiers, with antibodies to Shigella lipopolysaccharide (LPS) being the highest priority. To facilitate comparisons across clinical studies, a second workshop was conducted in December 2017, which focused on the pathway toward a recognized enzyme-linked immunosorbent assay (ELISA) to determine serum immunoglobulin G titers against Shigella LPS. The consensus of the meeting was to establish a consortium of international institutions with expertise in Shigella immunology that would work with the National Institute for Biological Standards and Control to establish a harmonized ELISA, produce a reference sera, and identify a reliable source of Shigella LPS for global utilization. Herein we describe efforts toward establishing common procedures to advance Shigella vaccine development, support licensure, and ultimately facilitate vaccine deployment and uptake.

Indexed as

ConsensusModels, BiologicalClinical Trials as TopicConsensus Statements as TopicDrug DevelopmentDysentery, BacillaryHumansImmunoassayResearch ReportShigellaShigella VaccinesUnited StatesShigella Vaccineshuman infection modelimmunoassaysShigellavaccine

Identifiers

PMID31816067
PMCPMC6901123

What OpenQuestion holds

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LicenceCC BY
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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.