Evidence map›Paper›PMID 30949526›Full record

ArticleOpen forum infectious diseases2019

Surveillance of Rifampicin Resistance With GeneXpert MTB/RIF in the National Reference Laboratory for Tuberculosis at the Institut Pasteur in Bangui, 2015-2017.

Alain Farra, Alexandre Manirakiza, Brice Martial Yambiyo, Germain Zandanga, Boris Lokoti, Alain Berlioz-Arthaud, Gilles Ngaya, Georges Hermana, Louis Médard Ourandji, Albert Ignaleamoko and 3 more

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Heliyon · 2024
    Article
  6. Article
  7. Detection ofIJID regions · 2022
    Article
  8. Article
  9. Article
  10. Detection ofTuberculosis research and treatment · 2022
    Article
  11. Article
  12. Trends ofTropical diseases, travel medicine and vaccines · 2020
    Article
  13. 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

13 authors.

Alain FarraNational Reference Laboratory for Tuberculosis, Institut Pasteur of Bangui, Bangui, Central African Republic.ORCID 0000-0003-0420-4185
Alexandre ManirakizaEpidemiology Unit, Institut Pasteur of Bangui, Bangui, Central African Republic.
Brice Martial YambiyoEpidemiology Unit, Institut Pasteur of Bangui, Bangui, Central African Republic.
Germain ZandangaNational Reference Laboratory for Tuberculosis, Institut Pasteur of Bangui, Bangui, Central African Republic.
Boris LokotiNational Reference Laboratory for Tuberculosis, Institut Pasteur of Bangui, Bangui, Central African Republic.
Alain Berlioz-ArthaudMedical Analysis Laboratory, Institut Pasteur of Bangui, Bangui, Central African Republic.
Gilles NgayaMedical Analysis Laboratory, Institut Pasteur of Bangui, Bangui, Central African Republic.
Georges HermanaNational Tuberculosis Programme, Ministry of Public Health and Population, Bangui, Central African Republic.
Louis Médard OurandjiNational Tuberculosis Programme, Ministry of Public Health and Population, Bangui, Central African Republic.
Albert IgnaleamokoTreatment Centre for Patients with Multi-drug-resistant Tuberculosis, University Hospital, Bangui, Central African Republic.
Aristide Désiré Komangoya-NzonzoFocal Point for TB/VIH and Hepatitis, World Health Organization, Bangui, Central African Republic.
Jean Pierre SimeloTB/HIV and Laboratories, Kinshasa, Democratic Republic of the Congo.
Jean de Dieu IragenaCommunicable Diseases Cluster, HIV/TB and Hepatitis Programme, World Health Regional Office for Africa, Brazzaville, Congo.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe Central African Republic (CAR) has one of the heaviest burdens of tuberculosis (TB) in the world, with an incidence of 423 cases per 100 000 population. Surveillance of resistance to rifampicin with GeneXpert MTB/RIF was instituted in the National TB Reference Laboratory in 2015. The aim of this study was to evaluate, after 3 years, resistance to rifampicin, the most effective firstline drug against TB.

methodsThe surveillance database on cases of rifampicin resistance was retrospectively analyzed. The populations targeted by the National TB Programme were failure, relapse, default, and contacts of multidrug-resistant TB (MDR-TB). Statistical analyses were performed with Stata software, version 14, using chi-square tests and odds ratios.

resultsSix hundred seventeen cases were registered; 63.7% were male, 36.3% were female, and the mean age was 35.5 years (range from 2 to 81). GeneXpert MTB/RIF tests were positive in 79.1% (488/617), and resistance to rifampicin was positive in 42.2% (206/488), with 49.1% (56/114) in 2015, 34.7% (57/164) in 2016, and 44.3% (93/210) in 2017. Failure cases had the highest rate of resistance (70.4%), with a significant difference (

conclusionsResistance to rifampicin is still high in the CAR and is most strongly associated with treatment failure. The Ministry of Health must to deploy GeneXpert MTB/RIF tests in the provinces to evaluate resistance to TB drugs in the country.

Indexed as

BanguiGeneXpertresistancerifampicine

Identifiers

PMID30949526
PMCPMC6440687

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.