Evidence map›Paper›PMID 28349973›Full record

ArticleScientific reports2017

Strain-specific estimation of epidemic success provides insights into the transmission dynamics of tuberculosis.

Jean-Philippe Rasigade, Maxime Barbier, Oana Dumitrescu, Catherine Pichat, Gérard Carret, Anne-Sophie Ronnaux-Baron, Ghislaine Blasquez, Christine Godin-Benhaim, Sandrine Boisset, Anne Carricajo and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Markers of epidemiological success of methicillin-resistant Staphylococcus aureus isolates in European populations.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Interplay of Human andFrontiers in genetics · 2019
    Review
  14. Observational
  15. Frontiers in cellular and infection microbiology · 2018
    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

18 authors.

Jean-Philippe RasigadeInstitut de Systématique, Evolution, Biodiversité, UMR-CNRS 7205, Muséum National d'Histoire Naturelle, Université Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universités, Paris, France.
Maxime BarbierInstitut de Systématique, Evolution, Biodiversité, UMR-CNRS 7205, Muséum National d'Histoire Naturelle, Université Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universités, Paris, France.
Oana DumitrescuCentre International de Recherche en Infectiologie, CIRI, University of Lyon, France.
Catherine PichatInstitut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France.
Gérard CarretInstitut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France.
Anne-Sophie Ronnaux-BaronComité Départemental d'Hygiène Sociale, CLAT69, Lyon, France.
Ghislaine BlasquezComité Départemental d'Hygiène Sociale, CLAT69, Lyon, France.
Christine Godin-BenhaimAgence Régionale de Santé Rhône-Alpes, Lyon, France.
Sandrine BoissetLaboratoire de Bactériologie, Institut de Biologie et de Pathologie, CHU de Grenoble, Grenoble, France.
Anne CarricajoLaboratoire des Agents Infectieux et d'Hygiène, CHU de Saint-Etienne, Saint-Etienne, France.
Véronique JacomoLaboratoire Biomnis, Lyon, France.
Isabelle FredenucciInstitut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France.
Michèle Pérouse de MontclosInstitut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France.
Jean-Pierre FlandroisInstitut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France.
Florence AderCentre International de Recherche en Infectiologie, CIRI, University of Lyon, France.
Philip SupplyINSERM U1019, CNRS-UMR 8204, Center for Infection and Immunity of Lille, Institut Pasteur de Lille, Université de Lille, Lille, France.
Gérard LinaCentre International de Recherche en Infectiologie, CIRI, University of Lyon, France.
Thierry WirthInstitut de Systématique, Evolution, Biodiversité, UMR-CNRS 7205, Muséum National d'Histoire Naturelle, Université Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universités, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transmission dynamics of tuberculosis involves complex interactions of socio-economic and, possibly, microbiological factors. We describe an analytical framework to infer factors of epidemic success based on the joint analysis of epidemiological, clinical and pathogen genetic data. We derive isolate-specific, genetic distance-based estimates of epidemic success, and we represent success-related time-dependent concepts, namely epidemicity and endemicity, by restricting analysis to specific time scales. The method is applied to analyze a surveillance-based cohort of 1,641 tuberculosis patients with minisatellite-based isolate genotypes. Known predictors of isolate endemicity (older age, native status) and epidemicity (younger age, sputum smear positivity) were identified with high confidence (P < 0.001). Long-term epidemic success also correlated with the ability of Euro-American and Beijing MTBC lineages to cause active pulmonary infection, independent of patient age and country of origin. Our results demonstrate how important insights into the transmission dynamics of tuberculosis can be gained from active surveillance data.

Indexed as

AdultAgedFemaleGenetic VariationGenotypeHaplotypesHumansMaleMiddle AgedMinisatellite RepeatsMycobacterium tuberculosisRisk FactorsSputumTuberculosis

Identifiers

PMID28349973
PMCPMC5368603

What OpenQuestion holds

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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.