Evidence map›Paper›PMID 41018770›Full record

ArticleFrontiers in public health2025

Empowering tuberculosis genomic surveillance in Limpopo, South Africa through capacity building.

Vukosi Treasure Makondo, Kabelo Gabriel Kaapu, Felicia Wells, Abhinav Sharma, Molebogeng Ruth Lekalakala-Mokaba, Robin Warren, Emilyn Costa Conceição, Ivy Rukasha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors.

Vukosi Treasure Makondo *Division of Medical Microbiology, Department of Pathology, School of Medicine, University of Limpopo, Polokwane, South Africa.
Kabelo Gabriel Kaapu *Division of Medical Microbiology, Department of Pathology, School of Medicine, University of Limpopo, Polokwane, South Africa.
Felicia WellsSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Abhinav SharmaSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Molebogeng Ruth Lekalakala-MokabaDivision of Medical Microbiology, Department of Pathology, School of Medicine, University of Limpopo, Polokwane, South Africa.
Robin WarrenSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Emilyn Costa ConceiçãoSouth African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Ivy RukashaDivision of Medical Microbiology, Department of Pathology, School of Medicine, University of Limpopo, Polokwane, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Limpopo, a predominantly rural province in South Africa, faces significant challenges in the management of tuberculosis (TB) due to its high mobility and limited healthcare infrastructure. This study aims to improve the genomic surveillance of TB in Limpopo through capacity building initiatives. Methods: A comprehensive training program was implemented that focuses on both theoretical and practical aspects of TB research, including whole genome sequencing (WGS) and bioinformatics. Sputum samples from 232 patients diagnosed with pulmonary TB were collected, with 30 isolates selected for WGS analysis. The MAGMA bioinformatics pipeline was used for genomic analysis, identifying drug resistance mutations and phylogenetic relationships. Results: Of the 28 Conclusion: The study highlights the genetic diversity and drug resistance patterns of

Indexed as

Capacity BuildingMycobacterium tuberculosisTuberculosis, PulmonaryAdolescentAdultFemaleGenomicsHumansMaleMiddle AgedPhylogenySouth AfricaSputumTuberculosis, Multidrug-ResistantWhole Genome SequencingYoung Adultcapacity buildingdrug resistancegenomic surveillanceLimpopomulti-drug resistanceMycobacterium tuberculosis

Identifiers

PMID41018770
PMCPMC12463882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.