Evidence map›Paper›PMID 38225941›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2024

Discordance between genotypic and phenotypic methods for the detection of rifampicin and isoniazid resistant

Zegeye Bonsa, Mulualem Tadesse, Getu Balay, Wakjira Kebede, Gemeda Abebe

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Rapid drug resistance prediction in positiveEmerging microbes & infections · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Zegeye BonsaMycobacteriology Research Center, Jimma University, Jimma, Oromia, Ethiopia.
Mulualem TadesseMycobacteriology Research Center, Jimma University, Jimma, Oromia, Ethiopia.
Getu BalayMycobacteriology Research Center, Jimma University, Jimma, Oromia, Ethiopia.
Wakjira KebedeMycobacteriology Research Center, Jimma University, Jimma, Oromia, Ethiopia.
Gemeda AbebeMycobacteriology Research Center, Jimma University, Jimma, Oromia, Ethiopia.
Jimma University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate drug susceptibility testing (DST) of Methods: A retrospective study was conducted on 57 stored MTB isolates with known Xpert RIF resistance status (45 RIF resistant and 12 RIF susceptible) at Jimma University Mycobacteriology Research Center from November 2, 2021, to December 28, 2022. We did MTBDR Results: Among the 57 MTB isolates, six (10.5 %) had discordant results between the two DST methods. Xpert yielded five discordant results for RIF when compared with phenotypic DST (kappa coefficient (κ) = 0.76, 95 % confidence interval 0.56-0.96). The MTBDR Conclusions: Discordance between genotypic and phenotypic DST for RIF or INH occurred in 10.5 % of isolates. Only one patient with discordant results has received an inappropriate treatment regimen, resulting in an unfavorable outcome. The impact of parallel use of rapid molecular assay with phenotypic DST on patient treatment outcomes requires further study.

Indexed as

DiscordanceIsoniazidMTBDRplusMycobacterium tuberculosisRifampicinXpert

Identifiers

PMID38225941
PMCPMC10788488
OpenAlexW4389827679

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.