Evidence map›Paper›PMID 40626055›Full record

ArticleOpen forum infectious diseases2025

Comparative Analysis of 2 Diagnostic Devices for Detection of

Juliana G E Bartels, Nurlan Takenov, Lyailya Chingissova, Anar Rakisheva, Ainur Eleusizova, Venera Bismilda, Lyazzat Yeraliyeva, Yanis Ben Amor

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Juliana G E BartelsCenter for Sustainable Development, Columbia University, New York, New York, USA.ORCID https://orcid.org/0009-0006-0734-0667
Nurlan TakenovNational Tuberculosis Reference Laboratory, National Scientific Center of Phthisiopulmonology, Almaty, Kazakhstan.ORCID https://orcid.org/0000-0002-1862-9486
Lyailya ChingissovaNational Tuberculosis Reference Laboratory, National Scientific Center of Phthisiopulmonology, Almaty, Kazakhstan.
Anar RakishevaCenter of Phthisiopulmonology Almaty, Almaty, Kazakhstan.
Ainur EleusizovaCenter of Phthisiopulmonology Almaty, Almaty, Kazakhstan.ORCID https://orcid.org/0009-0009-5625-2526
Venera BismildaNational Tuberculosis Reference Laboratory, National Scientific Center of Phthisiopulmonology, Almaty, Kazakhstan.ORCID https://orcid.org/0000-0003-3130-9812
Lyazzat YeraliyevaNational Tuberculosis Reference Laboratory, National Scientific Center of Phthisiopulmonology, Almaty, Kazakhstan.ORCID https://orcid.org/0000-0002-0892-166X
Yanis Ben AmorCenter for Sustainable Development, Columbia University, New York, New York, USA.ORCID https://orcid.org/0000-0003-1278-8715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rapid, accurate detection of Methods: From December 2021 to July 2022, sputum samples from 1214 adult patients with presumptive TB in Almaty, Kazakhstan, were tested by BD MAX MDR-TB (Becton Dickinson), Cepheid Xpert MTB/RIF, and mycobacterial growth indicator tube (MGIT) liquid culture for detection of TB and drug resistance to rifampicin (RIF) and isoniazid (INH). Results: When compared with MGIT, BD MAX sensitivity and specificity for TB detection were 90% and 87%, and Xpert MTB/RIF results were 86% and 92%. For RIF resistance, BD MAX sensitivity and specificity were 91% and 95%, and Xpert MTB/RIF results were 94% and 92%. For INH resistance, BD MAX sensitivity and specificity were 98% and 97%. Whole genome sequencing was conducted for 24 samples with discordant RIF resistance results among the 3 devices to determine mutations related to resistance. When compared with a composite standard based on whole genome sequencing and MGIT, Xpert MTB/RIF had higher sensitivity and specificity for RIF resistance than BD MAX. Conclusions: Countries with high burden of drug-resistant TB should carry out national prevalence surveys to assess rates of multidrug-resistant TB and INH monoresistance. Those with higher rates should consider adopting BD MAX due to its ability to accurately diagnose RIF and INH resistance.

Indexed as

BD MAXMDRtuberculosiswhole genome sequencingXpert MTB/RIF

Identifiers

PMID40626055
PMCPMC12232910

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.