Evidence map›Paper›PMID 27001766›Full record

ArticleBMC infectious diseases2016

End TB strategy: the need to reduce risk inequalities.

M Gabriela M Gomes, Maurício L Barreto, Philippe Glaziou, Graham F Medley, Laura C Rodrigues, Jacco Wallinga, S Bertel Squire

Abstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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  5. Article
  6. Article
  7. The Importance of Heterogeneity to the Epidemiology of Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  8. Article
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  10. Article
  11. Article
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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

7 authors.

M Gabriela M GomesLiverpool School of Tropical Medicine, Liverpool, UK. Gabriela.Gomes@lstmed.ac.uk.
Maurício L BarretoCentro de Pesquisas Gonçalo Moniz, FIOCRUZ, Salvador, Brazil.
Philippe GlaziouWorld Health Organization, 1211, Geneva 27, Switzerland.
Graham F MedleyLondon School of Hygiene and Tropical Medicine, London, UK.
Laura C RodriguesLondon School of Hygiene and Tropical Medicine, London, UK.
Jacco WallingaDepartment of Infectious Diseases Epidemiology, National Institute of Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, The Netherlands.
S Bertel SquireLiverpool School of Tropical Medicine, Liverpool, UK.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundDiseases occur in populations whose individuals differ in essential characteristics, such as exposure to the causative agent, susceptibility given exposure, and infectiousness upon infection in the case of infectious diseases. DISCUSSION: Concepts developed in demography more than 30 years ago assert that variability between individuals affects substantially the estimation of overall population risk from disease incidence data. Methods that ignore individual heterogeneity tend to underestimate overall risk and lead to overoptimistic expectations for control. Concerned that this phenomenon is frequently overlooked in epidemiology, here we feature its significance for interpreting global data on human tuberculosis and predicting the impact of control measures. We show that population-wide interventions have the greatest impact in populations where all individuals face an equal risk. Lowering variability in risk has great potential to increase the impact of interventions. Reducing inequality, therefore, empowers health interventions, which in turn improves health, further reducing inequality, in a virtuous circle.

Indexed as

Healthcare DisparitiesDeveloping CountriesGlobal HealthHumansRisk Reduction BehaviorTuberculosis, PulmonaryCohort selectionHeterogeneityIntervention impactSocial inequalityTuberculosis

Identifiers

PMID27001766
PMCPMC4802713

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.