Evidence map›Paper›PMID 21435404›Full record

ArticleVaccine2011

Selection and quantification of infection endpoints for trials of vaccines against intestinal helminths.

Neal Alexander, Bonnie Cundill, Lorenzo Sabatelli, Jeffrey M Bethony, David Diemert, Peter Hotez, Peter G Smith, Laura C Rodrigues, Simon Brooker

Abstract read
In one paragraph

Article in Vaccine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Sample size calculations for skewed distributions.BMC medical research methodology · 2015
    Article
  5. Review: analysis of parasite and other skewed counts.Tropical medicine & international health : TM & IH · 2012
    Review
  6. 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

9 authors.

Neal AlexanderLondon School of Hygiene and Tropical Medicine, London, UK. neal.alexander@lshtm.ac.uk
Bonnie Cundill
Lorenzo Sabatelli
Jeffrey M Bethony
David Diemert
Peter Hotez
Peter G Smith
Laura C Rodrigues
Simon Brooker

Funding

Medical Research Council G0700837Wellcome Trust
6 · The paper itself

Abstract

Vaccines against human helminths are being developed but the choice of optimal parasitological endpoints and effect measures to assess their efficacy has received little attention. Assuming negative binomial distributions for the parasite counts, we rank the statistical power of three measures of efficacy: ratio of mean parasite intensity at the end of the trial, the odds ratio of infection at the end of the trial, and the rate ratio of incidence of infection during the trial. We also use a modelling approach to estimate the likely impact of trial interventions on the force of infection, and hence statistical power. We conclude that (1) final mean parasite intensity is a suitable endpoint for later phase vaccine trials, and (2) mass effects of trial interventions are unlikely to appreciably reduce the force of infection in the community - and hence statistical power - unless there is a combination of high vaccine efficacy and a large proportion of the population enrolled.

Indexed as

Models, StatisticalAnimalsBinomial DistributionFecesHelminthiasisHumansIntestinal Diseases, ParasiticOdds RatioParasite Egg CountRandomized Controlled Trials as TopicVaccinationVaccinesVaccines

Identifiers

PMID21435404
PMCPMC3093614

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.