Evidence map›Paper›PMID 39136526›Full record

ArticleEmerging microbes & infections2024

Targeted next-generation sequencing of

Mohammad Khaja Mafij Uddin, Andrea Maurizio Cabibbe, Rumana Nasrin, Arash Ghodousi, Fahim Alam Nobel, S M Mazidur Rahman, Shahriar Ahmed, Md Fahim Ather, S M Abdur Razzaque, Md Abu Raihan and 6 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2024. 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. Closing gaps through innovation in the tuberculosis pathology value chain.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
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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

16 authors.

Mohammad Khaja Mafij UddinInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Andrea Maurizio CabibbeEmerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Rumana NasrinInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Arash GhodousiEmerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Fahim Alam NobelInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
S M Mazidur RahmanInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Shahriar AhmedInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
Md Fahim AtherInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.
S M Abdur RazzaqueNational Institute of Disease of the Chest and Hospital, Dhaka, Bangladesh.
Md Abu Raihan250 bed TB Hospital, Dhaka, Bangladesh.
Pronab Kumar ModakNational Tuberculosis Control Programme, Bangladesh.
Jean Luc BerlandFondation Merieux, Lyon, France.
Wayne Van GemertStop TB Partnership, Switzerland.
Sardar Munim Ibna MohsinOffice of Population, Health, and Nutrition, U.S. Agency for International Development (USAID), Bangladesh.
Daniela Maria CirilloEmerging Bacterial Pathogens Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Sayera BanuInfectious Diseases Division, icddr,b, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lack of appropriate early diagnostic tools for drug-resistant tuberculosis (DR-TB) and their incomplete drug susceptibility testing (DST) profiling is concerning for TB disease control. Existing methods, such as phenotypic DST (pDST), are time-consuming, while Xpert MTB/RIF (Xpert) and line probe assay (LPA) are limited to detecting resistance to few drugs. Targeted next-generation sequencing (tNGS) has been recently approved by WHO as an alternative approach for rapid and comprehensive DST. We aimed to investigate the performance and feasibility of tNGS for detecting DR-TB directly from clinical samples in Bangladesh. pDST, LPA and tNGS were performed among 264 sputum samples, either rifampicin-resistant (RR) or rifampicin-sensitive (RS) TB cases confirmed by Xpert assay. Resistotypes of tNGS were compared with pDST, LPA and composite reference standard (CRS, resistant if either pDST or LPA showed a resistant result). tNGS results revealed higher sensitivities for rifampicin (RIF) (99.3%), isoniazid (INH) (96.3%), fluoroquinolones (FQs) (94.4%), and aminoglycosides (AMGs) (100%) but comparatively lower for ethambutol (76.6%), streptomycin (68.7%), ethionamide (56.0%) and pyrazinamide (50.7%) when compared with pDST. The sensitivities of tNGS for INH, RIF, FQs and AMGs were 93.0%, 96.6%, 90.9%, and 100%, respectively and the specificities ranged from 91.3 to 100% when compared with CRS. This proof of concept study, conducted in a high-burden setting demonstrated that tNGS is a valuable tool for identifying DR-TB directly from the clinical specimens. Its feasibility in our laboratory suggests potential implementation and moving tNGS from research settings into clinical settings.

Indexed as

Antitubercular AgentsHigh-Throughput Nucleotide SequencingMicrobial Sensitivity TestsMycobacterium tuberculosisTuberculosis, Multidrug-ResistantAdultBangladeshDrug Resistance, Multiple, BacterialFemaleHumansMaleMiddle AgedRifampinSensitivity and SpecificitySputumAntitubercular AgentsRifampindiagnostic performancedrug-resistant TBfeasibilitylineagemutationphenotypic drug susceptibility testingTargeted next-generation sequencing

Identifiers

PMID39136526
PMCPMC11348811

What OpenQuestion holds

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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.