Evidence map›Paper›PMID 31091275›Full record

Trial reportPloS one2019

Comparison of GeneXpert cycle threshold values with smear microscopy and culture as a measure of mycobacterial burden in five regional referral hospitals of Uganda- A cross-sectional study.

Irene Najjingo, Winters Muttamba, Bruce J Kirenga, Joanitah Nalunjogi, Ritah Bakesiima, Francis Olweny, Pastan Lusiba, Achilles Katamba, Moses Joloba, Willy Ssengooba

Abstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Infection and drug resistance · 2025
    Article
  5. The Xpert® MTB/RIF cycle threshold value predicts M. tuberculosis transmission to close contacts in a Brazilian prospective multicenter cohort.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
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.

Irene NajjingoClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-1583-1873
Winters MuttambaLung Institute Makerere University, Kampala, Uganda.
Bruce J KirengaLung Institute Makerere University, Kampala, Uganda.
Joanitah NalunjogiClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Ritah BakesiimaClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Francis OlwenyClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Pastan LusibaClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0003-2442-0598
Achilles KatambaClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Moses JolobaDepartment of Medical Microbiology, College of Health Sciences, Makerere University, Kampala, Uganda.
Willy SsengoobaLung Institute Makerere University, Kampala, Uganda.

Funding

TB and Other Pulmonary Complications of AIDS Research Training ProgramD43TW009607 · FIC · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN, KATAMBA, ACHILLES · 2013 to 2022
$3.2M
FIC NIH HHS D43 TW009607
6 · The paper itself

Abstract

backgroundDetermining mycobacterial burden is important in assessing severity of disease, evaluating infectiousness and predicting patient treatment outcomes. Mycobacterial burden assessed by smear microscopy grade and time to culture positivity is clearly interpretable by most physicians. GeneXpert (Xpert) has been recommended by WHO as a first line tuberculosis (TB) diagnostic test as an alternative to smear microscopy. Xpert gives cycle threshold (Ct) values as a potential measure for mycobacterial burden. For physicians to clearly interpret Ct values as measures of mycobacterial burden, this study compared the Xpert quantification capabilities with those of smear microscopy and culture. The study also determined a linear relationship between Xpert Ct values and MGIT culture time to positivity (MGIT-TTP) and associated factors. A cut off Ct value which best predicts smear positivity was also determined using the Receiver Operator Curve analysis method.

resultsExcluding missing results and rifampicin resistant TB cases, a moderately strong correlation of 0.55 between Xpert Ct value and smear grade was obtained. A weak correlation of 0.37 was obtained between Xpert Ct values and MGIT time to positivity while that between Xpert Ct values and LJ culture was 0.34. The Xpert Ct values were found to increase by 2.57 for every unit increase in days to positive and HIV status was significantly associated with this relationship. A cut off Ct value of 23.62 was found to best predict smear positivity regardless of HIV status.

conclusionOur study findings show that GeneXpert Ct values are comparable to smear microscopy as a measure of M. tuberculosis burden and can be used to replace smear microscopy. However, given the low correlation between Xpert Ct value and culture positivity, Xpert Ct values cannot replace culture as a measure of M. tuberculosis burden among TB patients.

Indexed as

Cost of IllnessMycobacterium tuberculosisAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryUganda

Identifiers

PMID31091275
PMCPMC6519814

What OpenQuestion holds

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Registered trials

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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.