Evidence map›Paper›PMID 35165095›Full record

ArticleBMJ global health2022

Pooled testing of sputum with Xpert MTB/RIF and Xpert Ultra during tuberculosis active case finding campaigns in Lao People's Democratic Republic.

Vibol Iem, Phonenaly Chittamany, Sakhone Suthepmany, Souvimone Siphanthong, Phitsada Siphanthong, Silaphet Somphavong, Konstantina Kontogianni, James Dodd, Jahangir Am Khan, Jose Dominguez and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 4 institutions in 4 countries.

Vibol IemClinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.ORCID 0000-0001-6155-1402
Phonenaly ChittamanyNational Tuberculosis Control Center, XJ7F+P5F, Vientiane, Lao People's Democratic Republic.
Sakhone SuthepmanyNational Tuberculosis Control Center, XJ7F+P5F, Vientiane, Lao People's Democratic Republic.
Souvimone SiphanthongNational Tuberculosis Control Center, XJ7F+P5F, Vientiane, Lao People's Democratic Republic.
Phitsada SiphanthongNational Tuberculosis Control Center, XJ7F+P5F, Vientiane, Lao People's Democratic Republic.
Silaphet SomphavongCenter of Infectology Lao Christophe Merieux, Vientiane, Lao People's Democratic Republic.
Konstantina KontogianniClinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
James DoddClinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Jahangir Am KhanHealth Economics and Policy Unit, School of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
Jose DominguezInstitut d'Investigació Germans Trias i Pujol, CIBER Enfermedades Respiratorias, and Universitat Autònoma de Barcelona, Barcelona, Spain.
Tom WingfieldDepartment of International Public Health and Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Jacob CreswellStop TB Partnership, Geneva, Switzerland.
Luis E CuevasClinical Sciences and Recsearch Centre for Drugs and Diagnostics, Liverpool School of Tropical Medicine, Liverpool, UK luis.cuevas@lstmed.ac.uk.ORCID 0000-0002-6581-0587
Liverpool School of Tropical Medicine · GBCentre d’Infectiologie Christophe Mérieux of Laos · LAUniversitat Autònoma de Barcelona · ESUniversity of Gothenburg · SE

Funding

Medical Research Council MR/V004832/1Wellcome TrustWellcome Trust 209075/Z/17/Z
6 · The paper itself

Abstract

introductionActive case finding (ACF) of individuals with tuberculosis (TB) is a key intervention to find the 30% of people missed every year. However, ACF requires screening large numbers of individuals who have a low probability of positive results, typically <5%, which makes using the recommended molecular tests expensive.

methodsWe conducted two ACF surveys (in 2020 and 2021) in high TB burden areas of Lao PDR. Participants were screened for TB symptoms and received a chest X-ray. Sputum samples of four consecutive individuals were pooled and tested with Xpert Mycobacterium tuberculosis (MTB)/rifampicin (RIF) (Xpert-MTB/RIF) (2020) or Xpert-Ultra (2021). The agreement of the individual and pooled samples was compared and the reasons for discrepant results and potential cartridge savings were assessed.

resultsEach survey included 436 participants, which were tested in 109 pools. In the Xpert-MTB/RIF survey, 25 (sensitivity 89%, 95% CI 72.8% to 96.3%) of 28 pools containing MTB-positive samples tested positive and 81 pools containing only MTB-negative samples tested negative (specificity 100%, 95% CI 95.5% to 100%). In the Xpert-Ultra survey, all 32 (sensitivity 100%, 95% CI 89.3% to 100%) pools containing MTB-positive samples tested positive and all 77 (specificity 100%, 95% CI 95.3% to 100%) containing only MTB-negative samples tested negative. Pooling with Xpert-MTB/RIF and Xpert-Ultra saved 52% and 46% (227/436 and 199/436, respectively) of cartridge costs alone.

conclusionTesting single and pooled specimens had a high level of agreement, with complete concordance when using Xpert-Ultra. Pooling samples could generate significant cartridge savings during ACF campaigns.

Indexed as

Antibiotics, AntitubercularTuberculosisTuberculosis, PulmonaryDrug Resistance, BacterialHumansLaosRifampinSensitivity and SpecificitySputumAntibiotics, AntitubercularRifampinactive case findingpooled testingpoolingXpert MTB/RIFXpert Ultra

Identifiers

PMID35165095
PMCPMC8845188
OpenAlexW4213079713

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.