Evidence map›Paper›PMID 32773998›Full record

ArticleJournal of global infectious diseases

Colonization of the Preterm Neonatal Gut with Carbapenem-resistant

Abhilasha Smith, Shalini Anandan, Balaji Veeraraghavan, Niranjan Thomas

Open access · goldAbstract read
In one paragraph

Article in Journal of global infectious diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Two Phenotypes ofInfection and drug resistance · 2022
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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

4 authors at 2 institutions in 1 country.

Abhilasha SmithDepartment of Neonatology, Christian Medical College, Vellore, Tamil Nadu, India.
Shalini AnandanDepartment of Microbiology, Christian Medical College, Vellore, Tamil Nadu, India.
Balaji VeeraraghavanDepartment of Microbiology, Christian Medical College, Vellore, Tamil Nadu, India.
Niranjan ThomasDepartment of Neonatology, Christian Medical College, Vellore, Tamil Nadu, India.
Christian Medical College · INChristian Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidrug-resistant Gram-negative neonatal sepsis is associated with high mortality and morbidity. Mucosal colonization with these organisms in hospitals may predispose neonates to septicemia.

aimsThe aim of the study was to determine the prevalence and pattern of colonization of neonatal preterm gut with carbapenem-resistant SETTINGS AND

designThe study was a prospective observational study done in a Level 3 neonatal unit of a tertiary care hospital.

methodsStool samples from preterm babies were collected soon after birth and at 1 and 3 weeks of age after consent. Maternal stool sample was collected within 48 h after the delivery. Predetermined antenatal, neonatal, and environmental risk factors were recorded. Isolation and identification of organisms was done in a standardized manner; antibiotic susceptibility was done by the Kirby-Bauer method and results interpreted according to the Clinical and Laboratory Standards Institute guidelines.

resultsSeventy-one percent of the babies were colonized by Gram-negative bacteria (GNB) at birth, and 100% were colonized by the end of the 1

conclusionsThe results show that neonatal gut is colonized by GNB from birth onward. However, the rate of colonization with CRO is low. An association was also observed between colonization and late-onset sepsis.

Indexed as

Carbapenem-resistant organismscolonizationintestinepreterm

Identifiers

PMID32773998
PMCPMC7384683
OpenAlexW3026245394

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.