Evidence map›Paper›PMID 37717043›Full record

ArticleScientific reports2023

Implementation of large-scale pooled testing to increase rapid molecular diagnostic test coverage for tuberculosis: a retrospective evaluation.

Comfort Vuchas, Pride Teyim, Beh Frankline Dang, Angela Neh, Liliane Keugni, Mercy Che, Pantalius Nji Che, Hamada Beloko, Victor Fondoh, Norah Nyah Ndi and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.1field-weighted citation impact, top 12% 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, 11 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

18 authors at 6 institutions in 1 country.

Comfort VuchasCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon. vuchascommy@gmail.com.
Pride TeyimTuberculosis Reference Laboratory Douala, Douala, Littoral, Cameroon.
Beh Frankline DangCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon.
Angela NehCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon.
Liliane KeugniTuberculosis Reference Laboratory Douala, Douala, Littoral, Cameroon.
Mercy CheCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon.
Pantalius Nji CheCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon.
Hamada BelokoTuberculosis Reference Laboratory Douala, Douala, Littoral, Cameroon.
Victor FondohBamenda Regional Hospital, Bamenda, Northwest, Cameroon.
Norah Nyah NdiBaptist Convention Health Services and Baptist Institute of Health Sciences, Bamenda, Northwest, Cameroon.
Irene Adeline Goupeyou WandjiNational TB Program- Littoral Region, Douala, Littoral, Cameroon.
Mercy FundohNational TB Program- Northwest Region, Bamenda, Northwest, Cameroon.
Henri MangaNational TB Program, Yaoundé, Center, Cameroon.
Cyrille MbuliCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon.
Jacob CreswellStop TB Partnership, Geneva, Switzerland.
Annie BissoNational TB Program, Yaoundé, Center, Cameroon.
Valerie DonkengCentre Pasteur du Cameroun, Yaoundé, Center, Cameroon.
Melissa SanderCenter for Health Promotion and Research, Bamenda, Northwest, Cameroon. melissa.sander@gmail.com.
University of Bamenda · CMUniversity of Douala · CMNational Radiation Protection Agency of Cameroon · CMBamenda University of Science and Technology · CMCameroon Baptist Convention Health Services · CMCentre Pasteur du Cameroun · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2021, only 6.4 million of the 10.6 million people with tuberculosis (TB) were diagnosed and treated for the disease. Although the World Health Organization recommends initial diagnostic testing using a rapid sensitive molecular assay, only 38% of people diagnosed with TB benefited from these, due to barriers including the high cost of available assays. Pooled testing has been used as an approach to increase testing efficiency in many resource-constrained situations, such as the COVID-19 pandemic, but it has not yet been widely adopted for TB diagnostic testing. Here we report a retrospective analysis of routine pooled testing of 10,117 sputum specimens using the Xpert MTB/RIF and Xpert MTB/RIF Ultra assays that was performed from July 2020 to February 2022. Pooled testing saved 48% of assays and enabled rapid molecular testing for 4156 additional people as compared to individual testing, with 6.6% of specimens positive for TB. From an in silico analysis, the positive percent agreement of pooled testing in pools of 3 as compared with individual testing for the Xpert MTB/RIF Ultra assay was estimated as 99.4% (95% CI, 96.6% to 100%). These results support the scale-up of pooled testing for efficient TB diagnosis.

Indexed as

COVID-19TuberculosisCOVID-19 TestingHumansMolecular Diagnostic TechniquesPandemicsPathology, MolecularRetrospective Studies

Identifiers

PMID37717043
PMCPMC10505184
OpenAlexW4386803396

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.