Evidence map›Paper›PMID 21283783›Full record

ReviewPLoS pathogens2011

Genetic epidemiology of tuberculosis susceptibility: impact of study design.

Catherine M Stein

Abstract readReview
In one paragraph

Review in PLoS pathogens, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 6 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

41 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Impact of isoniazid preventive therapy on the evaluation of long-term effectiveness of infant MVA85A vaccination.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2017
    Trial
  8. Trial
  9. Article
  10. Genetics and evolution of tuberculosis pathogenesis: New perspectives and approaches.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  11. Article
  12. Article
  13. Association of theJournal of thoracic disease · 2019
    Article
  14. Polymorphisms of theBioscience reports · 2018
    Article
  15. Article
  16. Genetic Polymorphisms ofBioMed research international · 2018
    Article
  17. Novel polymorphisms inGlobal health, epidemiology and genomics · 2018
    Article
  18. Article
  19. Article
  20. 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

1 author.

Catherine M SteinDepartment of Epidemiology and Biostatistics, and Tuberculosis Research Unit, Case Western Reserve University, Cleveland, Ohio, United States of America. catherine.stein@case.edu

Funding

X-LINKED EXTENSION OF THE REVISED HASEMAN-ELSTON ALGORITHM FOR LINKAGE ANALYSISP41RR003655 · NCRR · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ELSTON, ROBERT C. · 1987 to 2011
$11.5M
Tuberculosis Prevention Research Unit /TBRU/-266095383N01AI095383 · NIAID · CASE WESTERN RESERVE UNIVERSITY · 2000 to 2005
$5.6M
Pathway analysis of tuberculosis pathogenesisR01HL096811 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STEIN, CATHERINE MARIE · 2009 to 2013
$2.2M
NCRR NIH HHS P41 RR003655NCRR NIH HHS RR03655NHLBI NIH HHS R01 HL096811NHLBI NIH HHS R01HL096811NIAID NIH HHS N01 AI070022NIAID NIH HHS N01 AI095383NIAID NIH HHS N01-AI70022NIAID NIH HHS N01-AI95383
6 · The paper itself

Abstract

Several candidate gene studies have provided evidence for a role of host genetics in susceptibility to tuberculosis (TB). However, the results of these studies have been very inconsistent, even within a study population. Here, we review the design of these studies from a genetic epidemiological perspective, illustrating important differences in phenotype definition in both cases and controls, consideration of latent M. tuberculosis infection versus active TB disease, population genetic factors such as population substructure and linkage disequilibrium, polymorphism selection, and potential global differences in M. tuberculosis strain. These considerable differences between studies should be accounted for when examining the current literature. Recommendations are made for future studies to further clarify the host genetics of TB.

Indexed as

Genetic Predisposition to DiseaseHost-Pathogen InteractionsHumansLinkage DisequilibriumMolecular EpidemiologyMycobacterium tuberculosisResearch DesignTuberculosis

Identifiers

PMID21283783
PMCPMC3024264

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.