Evidence map›Paper›PMID 26964059›Full record

ArticlePLoS neglected tropical diseases2016

A Mycobacterial Perspective on Tuberculosis in West Africa: Significant Geographical Variation of M. africanum and Other M. tuberculosis Complex Lineages.

Florian Gehre, Samrat Kumar, Lindsay Kendall, Mebrat Ejo, Oumie Secka, Boatema Ofori-Anyinam, Emmanuel Abatih, Martin Antonio, Dirk Berkvens, Bouke C de Jong

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Molecular epidemiology and genetic diversity of Mycobacterium tuberculosis complex in referral health centers of Bamako, Mali: What is new?International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  8. Article
  9. Article
  10. Understanding the Genetic Diversity ofFrontiers in genetics · 2022
    Article
  11. Article
  12. Phylogenomics ofMicrobial genomics · 2021
    Article
  13. Review
  14. Article
  15. Exploring the usefulness of molecular epidemiology of tuberculosis in Africa: a systematic review.International journal of molecular epidemiology and genetics · 2020
    Review
  16. Article
  17. Experimental Evidence for LimitedFrontiers in microbiology · 2019
    Article
  18. Article
  19. 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

10 authors.

Florian GehreMycobacterial Unit, Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Samrat KumarBiomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Lindsay KendallStatistics and Bioinformatics Department, Medical Research Council (MRC) Unit, Fajara, The Gambia.
Mebrat EjoMycobacterial Unit, Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Oumie SeckaVaccines and Immunity Theme, Medical Research Council (MRC) Unit, Fajara, The Gambia.
Boatema Ofori-AnyinamMycobacterial Unit, Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Emmanuel AbatihBiomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Martin AntonioVaccines and Immunity Theme, Medical Research Council (MRC) Unit, Fajara, The Gambia.
Dirk BerkvensBiomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Bouke C de JongMycobacterial Unit, Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.

Funding

Medical Research Council MC_EX_MR/K011944/1Medical Research Council MC_U190074190Medical Research Council MC_U190081991Medical Research Council MC_UP_A900_1122
6 · The paper itself

Abstract

backgroundPhylogenetically distinct Mycobacterium tuberculosis lineages differ in their phenotypes and pathogenicity. Consequently, understanding mycobacterial population structures phylogeographically is essential for design, interpretation and generalizability of clinical trials. Comprehensive efforts are lacking to date to establish the West African mycobacterial population structure on a sub-continental scale, which has diagnostic implications and can inform the design of clinical TB trials. METHODOLOGY/PRINCIPAL

findingsWe collated novel and published genotyping (spoligotyping) data and classified spoligotypes into mycobacterial lineages/families using TBLineage and Spotclust, followed by phylogeographic analyses using statistics (logistic regression) and lineage axis plot analysis in GenGIS, in which a phylogenetic tree constructed in MIRU-VNTRplus was analysed. Combining spoligotyping data from 16 previously published studies with novel data from The Gambia, we obtained a total of 3580 isolates from 12 countries and identified 6 lineages comprising 32 families. By using stringent analytical tools we demonstrate for the first time a significant phylogeographic separation between western and eastern West Africa not only of the two M. africanum (West Africa 1 and 2) but also of several major M. tuberculosis sensu stricto families, such as LAM10 and Haarlem 3. Moreover, in a longitudinal logistic regression analysis for grouped data we showed that M. africanum West Africa 2 remains a persistent health concern. CONCLUSIONS/SIGNIFICANCE: Because of the geographical divide of the mycobacterial populations in West Africa, individual research findings from one country cannot be generalized across the whole region. The unequal geographical family distribution should be considered in placement and design of future clinical trials in West Africa.

Indexed as

GenotypeMolecular TypingPhylogeographyAfrica, WesternHumansLongitudinal StudiesMycobacteriumTuberculosis

Identifiers

PMID26964059
PMCPMC4786107

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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.