Evidence map›Paper›PMID 27795305›Full record

ReviewClinical microbiology reviews2017

Carbapenem-Resistant Acinetobacter baumannii and Enterobacteriaceae in South and Southeast Asia.

Li-Yang Hsu, Anucha Apisarnthanarak, Erum Khan, Nuntra Suwantarat, Abdul Ghafur, Paul Anantharajah Tambyah

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 163 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 5 pooled it
–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.

NCT04202861 naunknown statusnot on this mapstarted 2019, after this paper: background citation

A Randomised Controlled Trial Evaluating a Novel Individualised Treatment Strategy for Carbapenem-Resistant Gram-Negative Bacteria Infections (iACT)

TypeinterventionalSponsorSingapore General HospitalRan2019 to 2023Enrolled594ConditionsAntibiotic TherapyArmsIn vitro antibiotic combination testing (iACT)
NCT05293483 unknown statusnot on this mapstarted 2022, after this paper: background citation

The Impact of Hospital Care for COVID-19 on the Prevalence of Multidrug-resistant Microorganisms Among Patients Compared to Non-COVID-19 Hospital Care in Limited-resource Hospitals in Indonesia

Typeobservational_patient_registrySponsorErasmus Medical CenterRan2022 to 2023Enrolled1,110ConditionsAntibiotic Resistant Infection, COVID-19
3 · Its place in the literature

Who cites it

163 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Systematic review of multidrug-resistantFrontiers in microbiology · 2025
    Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Whole genome analysis of carbapenem resistantNew microbes and new infections · 2026
    Article
  12. Genetic Characterization of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  13. Observational
  14. Article
  15. Phenotypic and Genotypic Characterization of Carbapenem-ResistantInternational journal of microbiology · 2026
    Article
  16. Article
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  19. Article
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103 more citing papers are in PubMed but not listed here.

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

6 authors.

Li-Yang HsuSaw Swee Hock School of Public Health, National University of Singapore, Singapore liyang_hsu@yahoo.com paul_anantharajah_tambyah@nuhs.edu.sg.ORCID 0000-0002-0396-066X
Anucha ApisarnthanarakThammasat University Hospital, Pathum Thani, Thailand.
Erum KhanAga Khan University, Karachi, Pakistan.
Nuntra SuwantaratChulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand.ORCID 0000-0002-9356-2592
Abdul GhafurApollo Hospital, Chennai, India.
Paul Anantharajah TambyahYong Loo Lin School of Medicine, National University of Singapore, Singapore liyang_hsu@yahoo.com paul_anantharajah_tambyah@nuhs.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbapenem-resistant Gram-negative bacteria, in particular the Acinetobacter baumannii-calcoaceticus complex and Enterobacteriaceae, are escalating global public health threats. We review the epidemiology and prevalence of these carbapenem-resistant Gram-negative bacteria among countries in South and Southeast Asia, where the rates of resistance are some of the highest in the world. These countries house more than a third of the world's population, and several are also major medical tourism destinations. There are significant data gaps, and the almost universal lack of comprehensive surveillance programs that include molecular epidemiologic testing has made it difficult to understand the origins and extent of the problem in depth. A complex combination of factors such as inappropriate prescription of antibiotics, overstretched health systems, and international travel (including the phenomenon of medical tourism) probably led to the rapid rise and spread of these bacteria in hospitals in South and Southeast Asia. In India, Pakistan, and Vietnam, carbapenem-resistant Enterobacteriaceae have also been found in the environment and community, likely as a consequence of poor environmental hygiene and sanitation. Considerable political will and effort, including from countries outside these regions, are vital in order to reduce the prevalence of such bacteria in South and Southeast Asia and prevent their global spread.

Indexed as

beta-Lactam ResistanceAcinetobacter baumanniiAcinetobacter InfectionsAsia, SoutheasternAsia, WesternCarbapenemsEnterobacteriaceaeEnterobacteriaceae InfectionsEpidemiological MonitoringHumansMicrobial Sensitivity TestsPrevalenceCarbapenemsAcinetobactercarbapenem resistancecarbapenemsEnterobacteriaceaeGram-negative bacteriamcr-1South AsiaSoutheast Asia

Identifiers

PMID27795305
PMCPMC5217790

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.