Evidence map›Paper›PMID 24872399›Full record

ArticleThe Journal of infectious diseases2014

Dengue human infection models supporting drug development.

James Whitehorn, Vinh Chau Nguyen Van, Cameron P Simmons

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Lovastatin for the Treatment of Adult Patients With Dengue: A Randomized, Double-Blind, Placebo-Controlled Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016
    Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Current Status of Dengue Therapeutics Research and Development.The Journal of infectious diseases · 2017
    Review
  8. 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

3 authors.

James WhitehornDepartment of Clinical Research, London School of Hygiene and Tropical Medicine Oxford University Clinical Research Unit, Hospital for Tropical Diseases.
Vinh Chau Nguyen VanDirectorate, Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam.
Cameron P SimmonsCentre for Tropical Medicine, Oxford University, United Kingdom Oxford University Clinical Research Unit, Hospital for Tropical Diseases Nossal Institute for Global Health and Department of Microbiology and Immunology, University of Melbourne, Parkville, Victoria, Australia.

Funding

Wellcome Trust 084368/Z/07/ZWellcome Trust 097430/Z/11/ZWellcome Trust 100714
6 · The paper itself

Abstract

Dengue is a arboviral infection that represents a major global health burden. There is an unmet need for effective dengue therapeutics to reduce symptoms, duration of illness and incidence of severe complications. Here, we consider the merits of a dengue human infection model (DHIM) for drug development. A DHIM could allow experimentally controlled studies of candidate therapeutics in preselected susceptible volunteers, potentially using smaller sample sizes than trials that recruited patients with dengue in an endemic country. In addition, the DHIM would assist the conduct of intensive pharmacokinetic and basic research investigations and aid in determining optimal drug dosage. Furthermore, a DHIM could help establish proof of concept that chemoprophylaxis against dengue is feasible. The key challenge in developing the DHIM for drug development is to ensure the model reliably replicates the typical clinical and laboratory features of naturally acquired, symptomatic dengue.

Indexed as

Models, BiologicalResearch DesignAntiviral AgentsClinical Trials as TopicDengueDengue VaccinesDengue VirusHumansAntiviral AgentsDengue Vaccinesclinical trialdenguedrug developmenthuman infection model

Identifiers

PMID24872399
PMCPMC4036389

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.