Evidence map›Paper›PMID 35070914›Full record

ArticleInternational journal of critical illness and injury science

The burden and characteristics of nosocomial infections in an intensive care unit: A cross-sectional study of clinical and nonclinical samples at a tertiary hospital of Nepal.

Manisha Karn, Dipak Bhargava, Binod Dhungel, Megha Raj Banjara, Komal Raj Rijal, Prakash Ghimire

Abstract read
In one paragraph

Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Insight into the Burden of Antimicrobial Resistance among Bacterial Pathogens Isolated from Patients Admitted in ICUs of a Tertiary Care Hospital in India.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Article
  2. 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

6 authors.

Manisha KarnDepartment of Microbiology, Central Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Dipak BhargavaNational Medical College & Teaching Hospital, Birgunj, Nepal.
Binod DhungelDepartment of Microbiology, Central Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Megha Raj BanjaraDepartment of Microbiology, Central Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Komal Raj RijalDepartment of Microbiology, Central Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Prakash GhimireDepartment of Microbiology, Central Tribhuvan University, Kirtipur, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients at intensive care units (ICUs) are vulnerable to acquiring nosocomial infections. The main objective of this study was to explore and characterize the burden of nosocomial infections from an ICU of National Medical College and Teaching Hospital (NMCTH), Birgunj, Nepal.

methodsA prospective hospital-based study was conducted between April and December 2018 at NMCTH, Birgunj, Province 2, of Nepal. A total of 374 specimens including clinical specimens (

resultsAltogether, 374 specimens (190 clinical specimens and 184 nonclinical) of an ICU were analyzed. Out of 190 clinical specimens, 51% (97/190) showed bacterial growth. Isolated bacteria were

conclusionTwo-thirds of the specimens from both clinical and nonclinical specimens showed MDR. Urgent actions are required to address the augmented rate of nosocomial infections and MDR bacteria among ICUs in Nepal.

Indexed as

Intensive care unitsmethicillin-resistantmicrobial sensitivity testsmultiple drug resistancestaphylococcus aureus

Identifiers

PMID35070914
PMCPMC8725804

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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.