Evidence map›Paper›PMID 31711306›Full record

ArticleAmerican journal of respiratory and critical care medicine2020

Optimizing the Design of Latent Tuberculosis Treatment Trials: Insights from Mathematical Modeling.

Jason E Stout, Nicholas A Turner, Robert W Belknap, C Robert Horsburgh, Timothy R Sterling, Patrick P J Phillips

Erratum issuedAbstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. The Next Generation: Mentoring and Diversity in the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  3. Article
  4. Trials of Tuberculosis-Preventive Therapy in People with HIV Infection.American journal of respiratory and critical care medicine · 2020
    Article
  5. Reply to SwindellsAmerican journal of respiratory and critical care medicine · 2020
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jason E StoutDivision of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0002-6698-8176
Nicholas A TurnerDivision of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.ORCID 0000-0003-0650-4894
Robert W BelknapDenver Health and Hospital Authority and Division of Infectious Diseases, Department of Medicine, University of Colorado, Denver, Colorado.ORCID 0000-0002-7382-8592
C Robert HorsburghDepartments of Epidemiology, Biostatistics, Global Health, and Medicine, Boston University Schools of Public Health and Medicine, Boston, Massachusetts.ORCID 0000-0001-6838-7895
Timothy R SterlingDivision of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee; and.ORCID 0000-0002-4822-6979
Patrick P J PhillipsDepartment of Medicine, UCSF Center for Tuberculosis, University of California-San Francisco, San Francisco, California.ORCID 0000-0002-6336-7024

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Equivalence Trials as TopicHumansInterferon-gamma Release TestsLatent TuberculosisModels, TheoreticalPrevalenceSensitivity and SpecificityTuberculin Testclinical trialsdiagnostic testinglatent tuberculosis infectionmathematical modelingnoninferiority

Identifiers

PMID31711306
PMCPMC10797496

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.