Evidence map›Paper›PMID 29590182›Full record

ArticlePloS one2018

Clinical endpoints in the controlled human challenge model for Shigella: A call for standardization and the development of a disease severity score.

Chad K Porter, Amanda Lynen, Mark S Riddle, Kawsar Talaat, David Sack, Ramiro L Gutiérrez, Robin McKenzie, Barbara DeNearing, Brittany Feijoo, Robert W Kaminski and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06615375 (Phase 2b, Double-blind, Placebo-controlled Efficacy Challenge Study With the Shigella Tetravalent Bioconjugate Vaccine Shigella4V2), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 12% 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.

NCT06615375 phase2active not recruitingnot on this mapstarted 2024, after this paper: background citation

Phase 2b, Double-blind, Placebo-controlled Efficacy Challenge Study With the Shigella Tetravalent Bioconjugate Vaccine Shigella4V2

TypeinterventionalSponsorLimmaTech Biologics AGRan2024 to 2026Enrolled120ConditionsShigellosisArmsShigella4V2, Placebo
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Review
  3. Shigella-Controlled Human Infection Models: Current and Future Perspectives.Current topics in microbiology and immunology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Consensus Report on Shigella Controlled Human Infection Model: Clinical Endpoints.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  13. Consensus Report on Shigella Controlled Human Infection Model: Conduct of Studies.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  14. Classical and novel strategies to develop aHuman vaccines & immunotherapeutics · 2019
    Review
  15. Human vaccines & immunotherapeutics · 2019
    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

13 authors at 5 institutions in 1 country.

Chad K PorterEnteric Disease Department, Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD, United States of America.ORCID 0000-0001-7258-1690
Amanda LynenEnteric Disease Department, Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD, United States of America.
Mark S RiddleEnteric Disease Department, Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD, United States of America.
Kawsar TalaatBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America.
David SackBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America.
Ramiro L GutiérrezEnteric Disease Department, Infectious Disease Directorate, Naval Medical Research Center, Silver Spring, MD, United States of America.
Robin McKenzieSchool of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Barbara DeNearingBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America.
Brittany FeijooBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America.
Robert W KaminskiDepartment of Enteric Infections, Walter Reed Army Institute of Research, Silver Spring, MD, United States of America.
David N TaylorDrug Development Global Program, PATH, Seattle, WA, United States of America.
Beth D KirkpatrickUniversity of Vermont College of Medicine, Vaccine Testing Center, Department of Medicine, Burlington, VT, United States of America.
A Louis BourgeoisBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America.
Johns Hopkins University · USNaval Medical Research Command · USProgram for Appropriate Technology in Health · USUniversity of Vermont · USWalter Reed Army Institute of Research · US

Funding

VERMONT IMMUNOBIOLOIGY/ INFECTIOUS DISEASES CENTERP20RR021905 · NCRR · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2006 to 2011
$14.5M
Vermont Immunology/Infectious Diseases CenterP30GM118228 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BUDD, RALPH C · 2016 to 2021
$6.8M
NCRR NIH HHS P20 RR021905NIGMS NIH HHS P30 GM118228
6 · The paper itself

Abstract

backgroundSince 1946 the controlled human infection model (CHIM) for Shigella has been used to improve understanding of disease pathogenesis, describe clinical and immunologic responses to infection and as a tool for vaccine development. As the frequency and intent for use in vaccine comparisons increases, standardization of the primary endpoint definition is necessary.

methodsSubject-level data were obtained from previously conducted experimental Shigella CHIM studies. Signs and symptoms severity were categorized consistently across all studies. Sign and symptom correlations were estimated and univariate models were utilized to describe the association between stool output and other Shigella-attributable signs and symptoms. Multiple correspondence and hierarchical clustering analyses were performed to describe the co-occurrence of signs and symptoms. A disease score is proposed based on the co-occurrence of these events.

resultsData were obtained on 54 subjects receiving 800 to 2000 colony forming units (cfu) of S. flexneri. The median maximum 24 hour stool output was 514 ml (IQR: 300, 998 ml) with a median frequency of 6 (IQR: 4, 9). Subjects reported abdominal pain or cramps (81.5%), headache (66.7%) and anorexia (64.8%), 50.0% had a fever and 27.8% had gross blood in multiple loose stools. Multiple correspondence analyses highlighted co-occurrence of symptoms based on severity. A 3-parameter disease severity score predicted shigellosis endpoints and better differentiated disease spectrum.

conclusionDichotomous endpoints for Shigella CHIM fail to fully account for disease variability. An ordinal disease score characterizing the breadth of disease severity may enable a better characterization of shigellosis and can decrease sample size requirements. Furthermore, the disease severity score may be a useful tool for portfolio management by enabling prioritization across vaccine candidates with comparable efficacy estimates using dichotomous endpoints.

Indexed as

Cluster AnalysisDysentery, BacillaryHumansOdds RatioROC CurveSeverity of Illness IndexShigellaShigella VaccinesSymptom AssessmentVaccinationShigella Vaccines

Identifiers

PMID29590182
PMCPMC5874036
OpenAlexW2795196881

What OpenQuestion holds

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Registered trials

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.