Evidence map›Paper›PMID 38322299›Full record

ArticleSouthern African journal of infectious diseases2024

Characterisation and antimicrobial susceptibility pattern of non-tuberculous mycobacteria.

Abraham J le Roux, Anneke van der Spoel van Dijk, Motlatji R B Maloba

Abstract read
In one paragraph

Article in Southern African journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. First recorded isolation ofRadiology case reports · 2025
    Article
  3. 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

3 authors.

Abraham J le RouxDepartment of Medical Microbiology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-3294-3981
Anneke van der Spoel van DijkDepartment of Medical Microbiology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0003-3892-8499
Motlatji R B MalobaDepartment of Medical Microbiology, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0003-4566-0742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-tuberculous mycobacteria (NTM) management comprises prolonged therapy that includes macrolides. Non-tuberculous mycobacteria can cause disease in patients with predisposing conditions such as HIV and structural lung disease. Local data on NTM disease and macrolide resistance are scarce, and routine antimicrobial susceptibility testing is currently not performed for NTM in South Africa. Objectives: This study aims to characterise NTM isolated at Tshepong National Health Laboratory Service (NHLS) according to species and antimicrobial susceptibility pattern. Method: A retrospective data analysis of NTM isolates from Tshepong NHLS was performed from January to June 2020. GenoType Results: Of the 194 collected NTM isolates, 183 were included in the study. Patients' ages ranged from 1 day to 81 years (median 36 years). The most common specimen was sputum (84.7%), followed by gastric aspirate (6.6%). The most common NTM isolated were Conclusion: Contribution: This study highlights the need for increased awareness of NTM, regular nationwide NTM surveillance, and monitoring of resistance trends to guide future patient management and ensure good treatment outcomes.

Indexed as

GenoType® NTM-DRgenotypic antimicrobial susceptibilityMycobacteria avium complexMycobacterium abscessusnon-tuberculous mycobacteria

Identifiers

PMID38322299
PMCPMC10839231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.