Evidence map›Paper›PMID 37636189›Full record

ArticleJournal of family medicine and primary care2023

Profile and predictors of babies admitted to SNCUs of two tribal districts of Chhattisgarh.

Kritika Vaishnav, Abhiruchi Galhotra, Atul Jindal, Priyanka Parhad

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Kritika VaishnavSchool of Public Health, AIIMS Raipur, Chhattisgarh, India.
Abhiruchi GalhotraDepartment of CFM, AIIMS Raipur, Chhattisgarh, India.
Atul JindalDepartment of Pediatrics, AIIMS Raipur, Chhattisgarh, India.
Priyanka ParhadSchool of Public Health, AIIMS Raipur, Chhattisgarh, India.
All India Institute of Medical Sciences Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The neonatal period is the crucial and vulnerable period of the human life cycle. Various research has been conducted worldwide that provide the baseline data on clinical profiles and predictors of outcomes of babies admitted to sick newborn care units (SNCUs). Nonetheless, studies on tribal areas and community outreach areas are rare. In the present study, predictors and profiles of patients admitted to SNCU, in the Dantewada and Bijapur districts of Chhattisgarh, India, were evaluated which shall help prioritize patient care and preventive approaches. Methods: This retrospective study was undertaken from January 2019 to December 2020 in the SNCUs of Dantewada and Bijapur. Neonatal and maternal characteristics, course during labor, treatment given to the neonates, and outcome data were obtained and analysed. Results: In total, 1,531 neonates were enrolled in the study. Mothers had a mean age of 25.6 years (standard deviation [SD] ±4.9) with birth spacing less than 2 years (60.3%) and antenatal care (ANC) visits less than 4 (50.4%). Neonates were low birth weight (43.75%) and were home-delivered (15.8%). One hundred forty-nine neonates died. In the multivariate regression model, extremely low birth weight babies, less than 1 kg (odds ratio [OR]: 11.59 confidence interval [CI] 4.625-31.58), gestational age less than 34 weeks (OR: 2.13 CI 1.291-3.532), central cyanosis (OR: 10.40 CI: 3.269-32.35), duration of IV fluid > 3 days (OR: 2.16 CI 0.793-0.880), duration of antibiotic >3 days (OR 0.63 CI 0.408-0.979) were found to be independent predictors of mortality among neonates. Conclusion: The prevalence of newborns aged less than 12 h is higher among the study population. Birth asphyxia, prematurity, neonatal jaundice, and sepsis were fundamental and leading causes of morbidity. Preterm birth and low birth weight babies had significantly high mortality. The government needs to focus on marginalized communities with target-based interventions and policies.

Indexed as

Neonatesnewborn mortalitypredictorstribal

Identifiers

PMID37636189
PMCPMC10451588
OpenAlexW4383099362

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.