Evidence map›Paper›PMID 25589564›Full record

Observational studyJournal of the Royal Society, Interface2015

Many hepatitis C reinfections that spontaneously clear may be undetected: Markov-chain Monte Carlo analysis of observational study data.

Rachel Sacks-Davis, Emma McBryde, Jason Grebely, Margaret Hellard, Peter Vickerman

Abstract readObservational Study
In one paragraph

Observational study in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Oxidative Stress, Testicular Inflammatory Pathways, and Male Reproduction.International journal of molecular sciences · 2021
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

5 authors.

Rachel Sacks-DavisCentre for Population Health, Burnet Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia rachelsd@burnet.edu.au.
Emma McBrydeCentre for Population Health, Burnet Institute, Melbourne, Australia Victorian Infectious Diseases Service, Royal Melbourne Hospital, Melbourne, Australia Department of Medicine, University of Melbourne, Melbourne, Australia.
Jason GrebelyThe Kirby Institute, University of New South Wales, Sydney, Australia.
Margaret HellardCentre for Population Health, Burnet Institute, Melbourne, Australia Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Peter VickermanSchool of Social and Community Medicine, University of Bristol, Bristol, UK.

Funding

Medical Research Council G0701627
6 · The paper itself

Abstract

Hepatitis C virus (HCV) reinfection rates are probably underestimated due to reinfection episodes occurring between study visits. A Markov model of HCV reinfection and spontaneous clearance was fitted to empirical data. Bayesian post-estimation was used to project reinfection rates, reinfection spontaneous clearance probability and duration of reinfection. Uniform prior probability distributions were assumed for reinfection rate (more than 0), spontaneous clearance probability (0-1) and duration (0.25-6.00 months). Model estimates were 104 per 100 person-years (95% CrI: 21-344), 0.84 (95% CrI: 0.59-0.98) and 1.3 months (95% CrI: 0.3-4.1) for reinfection rate, spontaneous clearance probability and duration, respectively. Simulation studies were used to assess model validity, demonstrating that the Bayesian model estimates provided useful information about the possible sources and magnitude of bias in epidemiological estimates of reinfection rates, probability of reinfection clearance and duration or reinfection. The quality of the Bayesian estimates improved for larger samples and shorter test intervals. Uncertainty in model estimates notwithstanding, findings suggest that HCV reinfections frequently and quickly result in spontaneous clearance, with many reinfection events going unobserved.

Indexed as

AlgorithmsBayes TheoremComputer SimulationHepacivirusHepatitis CHumansMarkov ChainsModels, StatisticalMonte Carlo MethodProbabilityRecurrenceReproducibility of ResultsRNA, ViralTime FactorsTreatment OutcomeRNA, Viralepidemiologyhepatitis C infectionMonte Carlo Markov chain

Identifiers

PMID25589564
PMCPMC4345484

What OpenQuestion holds

Textmetadata
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.