Evidence map›Paper›PMID 31413433›Full record

ArticleNigerian medical journal : journal of the Nigeria Medical Association

Assessment of GeneXpert MTB/RIF Performance by Type and Level of Health-Care Facilities in Nigeria.

Mustapha Gidado, Nkiru Nwokoye, Chidubem Ogbudebe, Bassey Nsa, Peter Nwadike, Prisca Ajiboye, Rupert Eneogu, Sani Useni, Emeka Elom, Adebola Lawanson

Abstract read
In one paragraph

Article in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Rifampicin-resistantJournal of clinical tuberculosis and other mycobacterial diseases · 2025
    Article
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  5. Article
  6. Article
  7. Article
  8. Article
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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.

Mustapha GidadoKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Nkiru NwokoyeKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Chidubem OgbudebeKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Bassey NsaKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Peter NwadikeKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Prisca AjiboyeKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Rupert EneoguKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Sani UseniKNCV Tuberculosis Foundation/Challenge TB Project, Abuja, Lagos, Nigeria.
Emeka ElomNational TB and Leprosy Control Program, Abuja, Nigeria.
Adebola LawansonNational TB and Leprosy Control Program, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingNigeria adopted GeneXpert MTB Rif as a primary diagnostic tool were available and accessible since 2016. The current geographical coverage of GeneXpert machines by LGAs stands at 48%, with a varied access and utilization.

objectivesTo assess the association between the type and level of health facilities implementing GeneXpert MTB/Rif and performance outcome of the machines in Nigeria. STUDY

designRetrospective secondary data analysis of GeneXpert performance for 2017 from GXAlert database. The independent variables were type and levels of health care facilities, and dependent variables were GeneXpert performance (utilization, successful test, error rates, MTB detected, and Rifampicin resistance detected).

resultsOnly 366 health care facilities are currently implementing and reporting GeneXpert performance, the distribution is 86.9% and 13.1% public and private health care facilities respectively, and only 6.3% of the facilities are primary health care. Of 354,321 test conducted in 2017, 91.5% were successful, and among unsuccessful test 6.8% were errors. The yield was 16.8% MTB detected (54,713) among which 6.8% had Rif resistance. The GeneXpert utilization rate was higher among private health care facilities (55.8%) compared to 33.3% among public health care facilities. There was a statistically significant difference in the number of successful test between public and private health facility-based machines as determined by one-way ANOVA (F(1,2) = 21.81,

conclusionNigeria with very low TB coverage should rapidly scale-up and decentralize GeneXpert services to the private sector.

Indexed as

GeneXpert utilizationprivate health facilitypublic health facility

Identifiers

PMID31413433
PMCPMC6677003

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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.