Evidence map›Paper›PMID 34066500›Full record

ArticleTropical medicine and infectious disease2021

High Prevalence of Methicillin-Resistant

Pan Ei Soe, Wai Wai Han, Karuna D Sagili, Srinath Satyanarayana, Priyanka Shrestha, Thi Thi Htoon, Htay Htay Tin

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Antimicrobial Resistance ofMicroorganisms · 2024
    Article
  9. Article
  10. Methicillin ResistantInfection and drug resistance · 2023
    Review
  11. Diversity and Dissemination of Methicillin-ResistantTropical medicine and infectious disease · 2022
    Review
  12. Methicillin-resistantIJID regions · 2022
    Article
  13. Article
  14. Simultaneous Hydrodistillation-Steam Distillation ofMolecules (Basel, Switzerland) · 2021
    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

7 authors.

Pan Ei SoeNational Health Laboratory, Ministry of Health and Sports, Yangon 11191, Myanmar.
Wai Wai HanMedical Statistics Division, Department of Medical Research, Ministry of Health and Sports, Yangon 11191, Myanmar.
Karuna D SagiliInternational Union Against Tuberculosis and Lung Disease, South East Asia Office, New Delhi 110016, India.
Srinath SatyanarayanaInternational Union Against Tuberculosis and Lung Disease, South East Asia Office, New Delhi 110016, India.ORCID 0000-0002-5420-2551
Priyanka ShresthaWHO Health Emergencies Programme, Kathmandu 44600, Nepal.
Thi Thi HtoonNational Health Laboratory, Ministry of Health and Sports, Yangon 11191, Myanmar.
Htay Htay TinNational Health Laboratory, Ministry of Health and Sports, Yangon 11191, Myanmar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a growing global health problem.

methodsWe collected the data retrospectively by reviewing an electronic register containing the results of bacterial culture and antibiotic susceptibility testing of biological specimens received from healthcare facilities during 2018-2019.

resultsOf the 37,798 biological specimens with bacterial culture growth, 22% (8244) were Gram-positive. Among the Gram-positive bacteria, 42% (2801) were

conclusionsThe high prevalence of MRSA indicates a major public health threat. There is an urgent need to strengthen the AMR surveillance and hospital infection control program in Myanmar.

Indexed as

antimicrobial resistanceGram-positive bacteriahospital infectionsMRSAoperations researchSORT IT

Identifiers

PMID34066500
PMCPMC8167575

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Registered trials

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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.