Evidence map›Paper›PMID 29348181›Full record

ArticleThe European respiratory journal2018

Intensity of exposure to pulmonary tuberculosis determines risk of tuberculosis infection and disease.

Carlos Acuña-Villaorduña, Edward C Jones-López, Geisa Fregona, Patricia Marques-Rodrigues, Mary Gaeddert, Carolina Geadas, David Jamil Hadad, Laura F White, Lucilia Pereira Dutra Molina, Solange Vinhas and 6 more

Abstract read
In one paragraph

Article in The European respiratory journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
  2. Article
  3. Review
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  5. Article
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Aerosol Sampling Outperforms Sputum to Predict Mycobacterium tuberculosis Transmission.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Exhaled Mycobacterium tuberculosis Predicts Incident Infection in Household Contacts.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  17. Article
  18. Tuberculosis Infection in Children and Adolescents.Pathogens (Basel, Switzerland) · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Carlos Acuña-VillaorduñaSection of Infectious Diseases, Dept of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA carlos.acuna-villaorduna@bmc.org.
Edward C Jones-LópezSection of Infectious Diseases, Dept of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Geisa FregonaNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Patricia Marques-RodriguesNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Mary GaeddertSection of Infectious Diseases, Dept of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Carolina GeadasSection of Infectious Diseases, Dept of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
David Jamil HadadNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Laura F WhiteDept of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Lucilia Pereira Dutra MolinaNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Solange VinhasMycobacteriology Laboratory, Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Rodrigo Ribeiro-RodriguesCellular and Molecular Immunology Laboratory, Núcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
Padmini SalgameDept of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Moises PalaciNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.
David AllandDept of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Jerrold J EllnerSection of Infectious Diseases, Dept of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.
Reynaldo DietzeNúcleo de Doenças Infecciosas, Universidade Federal do Espírito Santo, Vitória, Brazil.

Funding

Validation and Application of a Model for Human-like TB Latency in RabbitsU19AI111276 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, HORSBURGH, CHARLES ROBERT · 2014 to 2020
$23.3M
US-Brazil Research Collaboration on Strain Variation in TBU01AI065663 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ELLNER, JERROLD J. · 2005 to 2015
$5.2M
NIAID NIH HHS U01 AI065663NIAID NIH HHS U19 AI111276
6 · The paper itself

Abstract

Household contacts of pulmonary tuberculosis (TB) patients are at increased risk of TB infection and disease. However, their risk in relation to the intensity of exposure remains unknown.We studied smear-positive TB cases and their household contacts in Vitória, Brazil. We collected clinical, demographic and radiographic information from TB cases, and obtained tuberculin skin test (TST) and QuantiFERON-TB Gold (QFT) results from household contacts. We measured intensity of exposure using a proximity score and sleep location in relation to the TB index case and defined infection by TST ≥10 mm or QFT ≥0.35 UI·mL

Indexed as

AdultArea Under CurveBiomarkersBrazilCommunicable Disease ControlContact TracingFamily CharacteristicsFemaleHumansInfectious Disease MedicineInterferon-gamma Release TestsMaleMiddle AgedMycobacterium tuberculosisRiskROC CurveBiomarkers

Identifiers

PMID29348181
PMCPMC6719538

What OpenQuestion holds

Textmetadata
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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.