Evidence map›Paper›PMID 38409987›Full record

ArticleJNMA; journal of the Nepal Medical Association2024

Sepsis among Neonates Admitted to a Neonatal Intensive Care Unit in a Tertiary Care Centre.

Kanchan Devkota, Piush Kanodia, Bibek Joshi

Open access · diamondAbstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Kanchan DevkotaNepalgunj Medical College and Teaching Hospital, Nepalgunj, Banke, Nepal.
Piush KanodiaDepartment of Pediatrics, Nepalgunj Medical College and Teaching Hospital, Nepalgunj, Banke, Nepal.
Bibek JoshiNepalgunj Medical College and Teaching Hospital, Nepalgunj, Banke, Nepal.
Nepal Medical College Teaching Hospital · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Neonatal sepsis is a condition that carries a high risk for mortality as neonates rapidly transition to extra-uterine life and are subjected to various risk factors. Sepsis prevalence can be reduced by good antenatal care, early detection and treatment of risk factors. The study aimed to find out the prevalence of sepsis among neonates admitted to a neonatal intensive care unit in a tertiary care centre. Methods: This is a descriptive cross-sectional study conducted among neonates admitted to the neonatal care unit of a tertiary care centre after obtaining ethical approval from the Institutional Review Committee. Data of patients admitted from 12 December 2022 to 30 June 2023 was collected from hospital records. Symptomatic patients admitted to the neonatal intensive care unit were included and those with incomplete data were excluded from the study. A convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval. Results: Among 379 neonates, the prevalence of sepsis was 138 (36.41%) (28.38-44.44, 95% Confidence Interval). A total of 98 (71.01%) had early-onset neonatal sepsis and 40 (28.99%) had late-onset neonatal sepsis. Conclusions: The prevalence of neonatal sepsis was found to be lower than other studies done in similar settings. Keywords: neonate; neonatal sepsis; prematurity; prevalence.

Indexed as

Neonatal SepsisSepsisCross-Sectional StudiesFemaleHumansInfant, NewbornIntensive Care Units, NeonatalPregnancyTertiary Care Centers

Identifiers

PMID38409987
PMCPMC10924525
OpenAlexW4392161852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.