Evidence map›Paper›PMID 32046775›Full record

ReviewAntimicrobial resistance and infection control2020

The role of hospital environment in transmissions of multidrug-resistant gram-negative organisms.

Po Ying Chia, Sharmila Sengupta, Anjanna Kukreja, Sasheela S L Ponnampalavanar, Oon Tek Ng, Kalisvar Marimuthu

Abstract readReview
In one paragraph

Review in Antimicrobial resistance and infection control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
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  16. Carbapenem-resistant bacteria in the environment.Arhiv za higijenu rada i toksikologiju · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. The epidemiology of gram-negative bacteremia in Lebanon: a study in four hospitals.Annals of clinical microbiology and antimicrobials · 2024
    Article

7 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.

Po Ying ChiaNational Centre for Infectious Diseases, Jln Tan Tock Seng, Singapore.
Sharmila SenguptaNational Centre for Infectious Diseases, Jln Tan Tock Seng, Singapore.
Anjanna KukrejaUniversity Malaya Medical Centre, Kuala Lumpur, Malaysia.
Sasheela S L PonnampalavanarUniversity Malaya Medical Centre, Kuala Lumpur, Malaysia.
Oon Tek NgNational Centre for Infectious Diseases, Jln Tan Tock Seng, Singapore.
Kalisvar MarimuthuNational Centre for Infectious Diseases, Jln Tan Tock Seng, Singapore. kalisvar_marimuthu@ttsh.com.sg.

Funding

National Medical Research Council NMRC/CSA-INV/0002/2016National Medical Research Council NMRC/Fellowship/0056/2018National Medical Research Council (SG) CIRG18Nov-0034
6 · The paper itself

Abstract

Infections by multidrug-resistant (MDR) Gram-negative organisms (GN) are associated with a high mortality rate and present an increasing challenge to the healthcare system worldwide. In recent years, increasing evidence supports the association between the healthcare environment and transmission of MDRGN to patients and healthcare workers. To better understand the role of the environment in transmission and acquisition of MDRGN, we conducted a utilitarian review based on literature published from 2014 until 2019.

Indexed as

Cross InfectionAcinetobacter baumanniiAnti-Bacterial AgentsCarbapenem-Resistant EnterobacteriaceaeDisease OutbreaksDrug Resistance, Multiple, BacterialEnterococcusHospitalsHumansPseudomonas aeruginosaAnti-Bacterial AgentsCarbapenem-resistant Acinetobacter baumanniiCRABCREEnvironmentMultidrug-resistant gram-negative organismsTransmission

Identifiers

PMID32046775
PMCPMC7014667

What OpenQuestion holds

Textmetadata
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.