Evidence map›Paper›PMID 36548703›Full record

ArticleTropical medicine and infectious disease2022

Distribution of

Aye Nyein Phyu, Si Thu Aung, Prasit Palittapongarnpim, Kyaw Ko Ko Htet, Surakameth Mahasirimongkol, Htin Lin Aung, Angkana Chaiprasert, Virasakdi Chongsuvivatwong

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Dissecting rifampicin heteroresistance inJournal of medical microbiology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. International journal of microbiology · 2024
    Article
  7. Genomic Sequencing Profiles ofTropical medicine and infectious disease · 2023
    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.

Aye Nyein PhyuNational Tuberculosis Programme, Department of Public Health, Ministry of Health, Mandalay 05071, Myanmar.ORCID 0000-0001-8010-9054
Si Thu AungDepartment of Public Health, Ministry of Health, Keng Tung 06231, Myanmar.
Prasit PalittapongarnpimPornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok 10400, Thailand.ORCID 0000-0001-5057-6719
Kyaw Ko Ko HtetDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand.ORCID 0000-0001-7853-7308
Surakameth MahasirimongkolGenomic Medicine and Innovation Support (GeMIS), Department of Medical Sciences, Ministry of Public Health, Bangkok 10400, Thailand.
Htin Lin AungDepartment of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand.
Angkana ChaiprasertOffice of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10400, Thailand.
Virasakdi ChongsuvivatwongDepartment of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Thailand.ORCID 0000-0002-9850-4463

Funding

TB/MDR-TB Research training and Capacity Strengthening for LMIC in Southeast Asia Phase II: Promotion of Diversity, Equity and Inclusion (DEI)D43TW009522 · FIC · PRINCE OF SONGKLA UNIVERSITY · PI Virasakdi Chongsuvivatwong · 2015 to 2026
$3.0M
FIC NIH HHS D43 TW009522NIH HHS D43TW009522
6 · The paper itself

Abstract

Mycobacterium tuberculosis complex (MTBC) is divided into 9 whole genome sequencing (WGS) lineages. Among them, lineages 1−4 are widely distributed. Multi-drug resistant tuberculosis (MDR-TB) is a major public health threat. For effective TB control, there is a need to obtain genetic information on lineages of Mycobacterium tuberculosis (Mtb) and to understand distribution of lineages and drug resistance. This study aimed to describe the distribution of major lineages and drug resistance patterns of Mtb in Upper Myanmar. This was a cross-sectional study conducted with 506 sequenced isolates. We found that the most common lineage was lineage 2 (n = 223, 44.1%). The most common drug resistance mutation found was streptomycin (n = 44, 8.7%). Lineage 2 showed a higher number of MDR-TB compared to other lineages. There were significant associations between lineages of Mtb and drug resistance patterns, and between lineages and geographical locations of Upper Myanmar (p value < 0.001). This information on the distribution of Mtb lineages across the geographical areas will support a lot for the better understanding of TB transmission and control in Myanmar and other neighboring countries. Therefore, closer collaboration in cross border tuberculosis control is recommended.

Indexed as

drug resistant TBMycobacterium tuberculosis lineagesUpper Myanmar

Identifiers

PMID36548703
PMCPMC9781755

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.