Evidence map›Paper›PMID 28298235›Full record

ArticleMalaria journal2017

Clinical and molecular surveillance of drug resistant vivax malaria in Myanmar (2009-2016).

Myat Htut Nyunt, Jin-Hee Han, Bo Wang, Khin Myo Aye, Kyin Hla Aye, Seong-Kyun Lee, Ye Htut, Myat Phone Kyaw, Kay Thwe Han, Eun-Taek Han

Abstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  3. Investigation of Mutations in theMicroorganisms · 2024
    Article
  4. Article
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  7. A review of malaria molecular markers for drug resistance inFrontiers in cellular and infection microbiology · 2023
    Review
  8. Retrospective analysis ofFrontiers in microbiology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Molecular Surveillance andFrontiers in cellular and infection microbiology · 2021
    Article
  15. Article
  16. Efficacy and Safety of Pyronaridine-Artesunate for the Treatment of UncomplicatedThe American journal of tropical medicine and hygiene · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Molecular detection of antimalarial drug resistance inPathogens (Basel, Switzerland) · 2020
    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

10 authors.

Myat Htut NyuntDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Jin-Hee HanDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Bo WangDepartment of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Anhui, China.
Khin Myo AyeDepartment of Medical Research, Yangon, Myanmar.
Kyin Hla AyeDepartment of Medical Research, Yangon, Myanmar.
Seong-Kyun LeeDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
Ye HtutDepartment of Medical Research, Yangon, Myanmar.
Myat Phone KyawDepartment of Medical Research, Yangon, Myanmar.
Kay Thwe HanDepartment of Medical Research, Yangon, Myanmar.
Eun-Taek HanDepartment of Medical Environmental Biology and Tropical Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea. etaekhan@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the major challenges for control and elimination of malaria is ongoing spread and emergence of drug resistance. While epidemiology and surveillance of the drug resistance in falciparum malaria is being explored globally, there are few studies on drug resistance vivax malaria.

methodsTo assess the spread of drug-resistant vivax malaria in Myanmar, a multisite, prospective, longitudinal study with retrospective analysis of previous therapeutic efficacy studies, was conducted. A total of 906 from nine study sites were included in retrospective analysis and 208 from three study sites in prospective study. Uncomplicated vivax mono-infected patients were recruited and monitored with longitudinal follow-up until day 28 after treatment with chloroquine. Amplification and sequence analysis of molecular markers, such as mutations in pvcrt-O, pvmdr1, pvdhps and pvdhfr, were done in day-0 samples in prospective study.

resultsClinical failure cases were found only in Kawthaung, southern Myanmar and western Myanmar sites within 2009-2016. Chloroquine resistance markers, pvcrt-O 'AAG' insertion and pvmdr1 mutation (Y976F) showed higher mutant rate in southern and central Myanmar than western site: 66.7, 72.7 vs 48.3% and 26.7, 17.0 vs 1.7%, respectively. A similar pattern of significantly higher mutant rate of antifolate resistance markers, pvdhps (S382A, K512M, A553G) and pvdhfr (F57L/I, S58R, T61M, S117T/N) were noted.

conclusionsAlthough clinical failure rate was low, widespread distribution of chloroquine and antifolate resistance molecular makers alert to the emergence and spread of drug resistance vivax malaria in Myanmar. Proper strategy and action plan to eliminate and contain the resistant strain strengthened together with clinical and molecular surveillance on drug resistance vivax is recommended.

Indexed as

Drug ResistanceAdolescentAdultAntimalarialsChloroquineFolic Acid AntagonistsGenes, ProtozoanHumansLongitudinal StudiesMalaria, VivaxMutationMyanmarPlasmodium vivaxProspective StudiesRetrospective StudiesYoung AdultAntimalarialsChloroquineFolic Acid AntagonistsDrug resistanceMalariaMolecular surveillanceMyanmarPlasmodium vivax

Identifiers

PMID28298235
PMCPMC5353783

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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.