ArticleNature communications2024
The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- The global phylogeography of rapidly expanding multidrug resistant Ural lineage 4.2 Mycobacterium tuberculosis.Nature communications · 2026Article
- Drug-Resistant Tuberculosis in Prisons of Latin America and the Caribbean: A Critical Reflection on Structural Challenges and Gaps.Tropical medicine and infectious disease · 2026Review
- Variability in intrinsic drug tolerance inAntimicrobial agents and chemotherapy · 2025Article
- Active case finding for tuberculosis among Ukrainian soldiers by German armed forces.The European respiratory journal · 2025Article
- Ecology, global diversity and evolutionary mechanisms in the Mycobacterium tuberculosis complex.Nature reviews. Microbiology · 2025Review
- Genomic decoding of drug-resistant tuberculosis transmission in Thailand over three decades.Scientific reports · 2025Article
- Genome wide analyses reveal the role of mutator phenotypes in Mycobacterium tuberculosis drug resistance emergence.npj antimicrobials and resistance · 2025Article
- A new method for detecting mixed Mycobacterium tuberculosis infection and reconstructing constituent strains provides insights into transmission.Genome medicine · 2025Article
- Reduced fitness and enhanced immunogenicity ofCurrent research in microbial sciences · 2025Article
- Early prediction of Mycobacterium tuberculosis transmission clusters using supervised learning models.Scientific reports · 2024Article
- The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova.Nature communications · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 5 institutions in 5 countries.
Funding
Abstract
The projected trajectory of multidrug resistant tuberculosis (MDR-TB) epidemics depends on the reproductive fitness of circulating strains of MDR M. tuberculosis (Mtb). Previous efforts to characterize the fitness of MDR Mtb have found that Mtb strains of the Beijing sublineage (Lineage 2.2.1) may be more prone to develop resistance and retain fitness in the presence of resistance-conferring mutations than other lineages. Using Mtb genome sequences from all culture-positive cases collected over two years in Moldova, we estimate the fitness of Ural (Lineage 4.2) and Beijing strains, the two lineages in which MDR is concentrated in the country. We estimate that the fitness of MDR Ural strains substantially exceeds that of other susceptible and MDR strains, and we identify several mutations specific to these MDR Ural strains. Our findings suggest that MDR Ural Mtb has been transmitting efficiently in Moldova and poses a substantial risk of spreading further in the region.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.