Evidence map›Paper›PMID 26019204›Full record

ArticleJournal of clinical microbiology2015

Testing Pooled Sputum with Xpert MTB/RIF for Diagnosis of Pulmonary Tuberculosis To Increase Affordability in Low-Income Countries.

Saddiq T Abdurrahman, Omezikam Mbanaso, Lovett Lawson, Olanrewaju Oladimeji, Matthew Blakiston, Joshua Obasanya, Russell Dacombe, Emily R Adams, Nnamdi Emenyonu, Suvanand Sahu and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Review
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  11. Pooling Sputum Samples for Efficient Mass Tuberculosis Screening in Prisons.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Determining the value of TB active case-finding: current evidence and methodological considerations.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Article
  16. Article
  17. Article
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  19. Diagnosing pulmonary tuberculosis by pooling induced sputum.Journal of clinical tuberculosis and other mycobacterial diseases · 2019
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  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

12 authors.

Saddiq T AbdurrahmanDepartment of Public Health, Federal Capital Territory, Abuja, Nigeria.
Omezikam MbanasoLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Lovett LawsonZankli Medical Centre, Abuja, Nigeria Bingham University, Abuja, Nigeria.
Olanrewaju OladimejiZankli Medical Centre, Abuja, Nigeria.
Matthew BlakistonLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Joshua ObasanyaBingham University, Abuja, Nigeria Nigerian Centres for Disease Control, Abuja, Nigeria.
Russell DacombeLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Emily R AdamsLiverpool School of Tropical Medicine, Liverpool, United Kingdom.
Nnamdi EmenyonuZankli Medical Centre, Abuja, Nigeria.
Suvanand SahuStop TB Partnership Secretariat, Geneva, Switzerland.
Jacob CreswellStop TB Partnership Secretariat, Geneva, Switzerland.
Luis E CuevasLiverpool School of Tropical Medicine, Liverpool, United Kingdom luis.cuevas@lstmed.ac.uk.

Funding

Medical Research Council
6 · The paper itself

Abstract

Tuberculosis (TB) is a global public health problem, with the highest burden occurring in low-income countries. In these countries, the use of more sensitive diagnostics, such as Xpert MTB/RIF (Xpert), is still limited by costs. A cost-saving strategy to diagnose other diseases is to pool samples from various individuals and test them with single tests. The samples in positive pool samples are then retested individually to identify the patients with the disease. We assessed a pooled testing strategy to optimize the affordability of Xpert for the diagnosis of TB. Adults with presumptive TB attending hospitals or identified by canvassing of households in Abuja, Nigeria, were asked to provide sputum for individual and pooled (4 per pool) testing. The agreement of the results of testing of individual and pooled samples and costs were assessed. A total of 738 individuals submitted samples, with 115 (16%) being Mycobacterium tuberculosis positive. Valid Xpert results for individual and pooled samples were available for 718 specimens. Of these, testing of pooled samples detected 109 (96%) of 114 individual M. tuberculosis-positive samples, with the overall agreement being 99%. Xpert semiquantitative M. tuberculosis levels had a positive correlation with the smear grades, and the individual sample-positive/pooled sample-negative results were likely due to the M. tuberculosis concentration being below the detection limit. The strategy reduced cartridge costs by 31%. Savings were higher with samples from individuals recruited in the community, where the proportion of positive specimens was low. The results of testing of pooled samples had a high level of agreement with the results of testing of individual samples, and use of the pooled testing strategy reduced costs and has the potential to increase the affordability of Xpert in countries with limited resources.

Indexed as

AdolescentAdultAgedAged, 80 and overBacteriological TechniquesChildCosts and Cost AnalysisDeveloping CountriesFemaleHealth Care CostsHumansMaleMiddle AgedMolecular Diagnostic TechniquesMycobacterium tuberculosisNigeria

Identifiers

PMID26019204
PMCPMC4508401

What OpenQuestion holds

Textmetadata
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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.