Evidence map›Paper›PMID 33982266›Full record

ReviewClinical pharmacokinetics2021

Clinical Pharmacokinetic and Pharmacodynamic Considerations in the Drug Treatment of Non-Tuberculous Mycobacteria in Cystic Fibrosis.

Andrew Burke, Daniel Smith, Chris Coulter, Scott C Bell, Rachel Thomson, Jason A Roberts

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

6 authors at 1 institution in 2 countries.

Andrew BurkeThoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.
Daniel SmithThoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.
Chris CoulterThoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.
Scott C BellThoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.
Rachel ThomsonThoracic Medicine, The Prince Charles Hospital, Brisbane, QLD, Australia.
Jason A RobertsFaculty of Medicine, University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia. j.roberts2@uq.edu.au.ORCID http://orcid.org/0000-0001-6218-435X
The University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-tuberculous mycobacteria (NTM) are an emerging group of pulmonary infectious pathogens of increasing importance to the management of patients with cystic fibrosis (CF). NTM include slow-growing mycobacteria such as Mycobacterium avium complex (MAC) and rapidly growing mycobacteria such as Mycobacterium abscessus. The incidence of NTM in the CF population is increasing and infection contributes to significant morbidity to the patient and costs to the health system. Treating M. abscessus requires the combination of multiple costly antibiotics for months, with potentially significant toxicity associated with treatment. Although international guidelines for the treatment of NTM infection in CF are available, there are a lack of robust pharmacokinetic studies in CF patients to inform dosing and drug choice. This paper aims to outline the pharmacokinetic and pharmacodynamic factors informing the optimal treatment of NTM infections in CF.

Indexed as

Cystic FibrosisMycobacterium Infections, NontuberculousPharmaceutical PreparationsAnti-Bacterial AgentsHumansNontuberculous MycobacteriaAnti-Bacterial AgentsPharmaceutical Preparations

Identifiers

PMID33982266
OpenAlexW3161378515

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.