Evidence map›Paper›PMID 38179416›Full record

ArticleIJID regions2024

Assessing the national antibiotic surveillance data to identify burden for melioidosis in Malaysia.

Revathy Arushothy, Mohammad Ridhuan Mohd Ali, Hana Farizah Zambri, Vickneshwaran Muthu, Rohaidah Hashim, Sylvia Chieng, Sheila Nathan

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  3. Adaptation of anMethodsX · 2025
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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 at 3 institutions in 1 country.

Revathy ArushothyInstitute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
Mohammad Ridhuan Mohd AliInstitute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
Hana Farizah ZambriInstitute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
Vickneshwaran MuthuDisease Control Division, Ministry of Health Malaysia, Federal Government Administrative Centre, Putrajaya, Malaysia.
Rohaidah HashimInstitute for Medical Research, National Institutes of Health, Shah Alam, Malaysia.
Sylvia ChiengDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Sheila NathanDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Institute for Medical Research · MYNational University of Malaysia · MYGovernment of Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: A leading cause of morbidity and mortality in Southeast Asia, the epidemiological data on melioidosis disease occurrence and mortality in Malaysia is not comprehensive. The aim of this study is to determine the burden of melioidosis and assess the National Surveillance for Antibiotic Resistance (NSAR) data as a potential tool melioidosis surveilance in Malaysia. Methods: We performed a retrospective analysis on the Results: The average annual incidence rate of melioidosis between 2014-2020 was 3.41 per 100,000 population and was significantly different between states ( Conclusion: Assessing the NSAR data proved to be a useful tool for the determination of the incidence and socio-demographic risk factors attributed to melioidosis in Malaysia.

Indexed as

B. pseudomalleiMalaysiaMelioidosisNational surveillance for antibiotic resistance

Identifiers

PMID38179416
PMCPMC10764260
OpenAlexW4389207309

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.