Evidence map›Paper›PMID 28529461›Full record

ArticleCurrent treatment options in infectious diseases2016

Treatment of Non-Tuberculous Mycobacterial Lung Disease.

Julie V Philley, Mary Ann DeGroote, Jennifer R Honda, Michael M Chan, Shannon Kasperbauer, Nicholas D Walter, Edward D Chan

Abstract read
In one paragraph

Article in Current treatment options in infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

32 citing papers in PubMed, 57 citations in OpenAlex.

  1. Trial
  2. Trial
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  6. Article
  7. Review
  8. Article
  9. Review of methods for detection and characterization of non-tuberculous mycobacteria in aquatic organisms.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    Review
  10. Article
  11. Frontiers in cellular and infection microbiology · 2023
    Article
  12. Exacerbation ofVirulence · 2021
    Article
  13. Reduction in Expected Survival Associated With Nontuberculous Mycobacterial Pulmonary Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Pulmonary non-tuberculous mycobacterial infections: current state and future management.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Review
  19. Complete Genome Sequence of Mycobacterium xenopi JCM15661Microbiology resource announcements · 2020
    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

7 authors at 4 institutions in 1 country.

Julie V PhilleyDivision of Pulmonary and Critical Care Medicine, University of Texas Health Science Center, University of Texas, Tyler, Texas.
Mary Ann DeGrooteDivision of Infectious Diseases, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Jennifer R HondaDepartment of Medicine and Academic Affairs, National Jewish Health, Denver, Colorado.
Michael M ChanUniversity of Colorado School of Pharmacy, Aurora, Colorado.
Shannon KasperbauerDepartment of Medicine and Academic Affairs, National Jewish Health, Denver, Colorado.
Nicholas D WalterDepartment of Medicine, Denver Veterans Affairs Medical Center, Denver, Colorado.
Edward D ChanDepartment of Medicine and Academic Affairs, National Jewish Health, Denver, Colorado.
University of Colorado Anschutz Medical Campus · USUniversity of Colorado Denver · USDenver VA Medical Center · USThe University of Texas Health Science Center at Tyler · US

Funding

The role of T regulatory cells in cigarette smoke-induced susceptibility to tuberculosisR21AI121605 · NIAID · DENVER RESEARCH INSTITUTE · PI CHAN, EDWARD D · 2016 to 2017
$348k
Blood Expression Profiles as a Biomarker for Responses to Tuberculosis TreatmentIK2CX000914 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI WALTER, NICHOLAS D · 2014 to 2018
–
CSRD VA IK2 CX000914NIAID NIH HHS R21 AI121605
6 · The paper itself

Abstract

Treatment of non-tuberculous mycobacterial lung disease (NTM-LD) is challenging for several reasons including the relative resistance of NTM to currently available drugs and the difficulty in tolerating prolonged treatment with multiple drugs. Yet-to-be-done, large, multicenter, prospective randomized studies to establish the best regimens will also be arduous because multiple NTM species are known to cause human lung disease, differences in virulence and response to treatment between different species and strains within a species will make randomization more difficult, the need to distinguish relapse from a new infection, and the difficulty in adhering to the prescribed treatment due to intolerance, toxicity, and/or drug-drug interactions, often necessitating modification of therapeutic regimens. Furthermore, the out-of-state resident status of many patients seen at the relatively few centers that care for large number of NTM-LD patients pose logistical issues in monitoring response to treatment. Thus, current treatment regimens for NTM-LD is largely based on small case series, retrospective analyses, and guidelines based on expert opinions. It has been nearly 10 years since the publication of a consensus guideline for the treatment of NTM-LD. This review is a summary of the available evidence on the treatment of the major NTM-LD until more definitive studies and guidelines become available.

Indexed as

antibioticatypical mycobacteriabronchiectasisMycobacterium abscessus complexMycobacterium avium complexpulmonary disease

Identifiers

PMID28529461
PMCPMC5436303
OpenAlexW2529915441

What OpenQuestion holds

Textmetadata
LicenceTDM
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.