Evidence map›Paper›PMID 32813195›Full record

ArticleIndian journal of pediatrics2021

Short Term Outcome and Predictors of Mortality Among Very Low Birth Weight Infants - A Descriptive Study.

Sushil Gupta, B Adhisivam, B Vishnu Bhat, Nishad Plakkal, R Amala

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Article in Indian journal of pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  7. [Inflammatory and clinical markers predicting mortality in neonates under 1500 g].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Sushil GuptaDepartment of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, 605006, India.
B AdhisivamDepartment of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, 605006, India. adhisivam1975@yahoo.co.uk.
B Vishnu BhatProfessor of Pediatrics and Neonatology, AVMC, Pondicherry, India.
Nishad PlakkalDepartment of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, 605006, India.
R AmalaDepartment of Biostatistics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · INAarupadai Veedu Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the short term outcome and predictors of mortality among very low birth weight (VLBW) neonates.

methodsThis descriptive study from a tertiary care teaching institute in south India included 239 VLBW neonates who were uniformly managed as per unit's protocol and followed up till discharge or death, whichever was earlier. Univariate analysis and logistic regression analysis were done to determine the predictors of mortality. Two logistic regression models were developed and to evaluate their discriminative performance, area under the receiver operating characteristic curves were calculated.

resultsMean gestational age and mean birth weight of neonates were 31.4 ± 3 wk and 1191 ± 245 g respectively. Among the 239 infants, 49 (20.5%) expired and 190 (70.5%) survived. Mortality among extremely low birth weight (ELBW) and extreme preterm infants were 69.3% and 73.3% respectively. Univariate analysis showed multiple perinatal factors and neonatal morbidities were associated with mortality. On adjusted multivariate logistic regression, birth weight < 1000 g (OR 9.27), severe grade of intraventricular hemorrhage (IVH) (OR 29.2), hyperglycemia (OR 7.8) and respiratory distress syndrome (RDS) requiring surfactant therapy (OR 6.2) were the significant predictors of mortality. Both logistic regression models developed showed good prediction of mortality.

conclusionsVLBW mortality rate is 20% in the population studied. Birth weight < 1000 g, severe grade of IVH, hyperglycemia, and RDS requiring surfactant therapy were the significant predictors of mortality among VLBW neonates. Both prediction models developed showed good prediction of mortality.

Indexed as

Infant, Premature, DiseasesBirth WeightFemaleGestational AgeHumansIndiaInfant, Extremely Low Birth WeightInfant MortalityInfant, NewbornInfant, PrematureInfant, Very Low Birth WeightPregnancyRetrospective StudiesMortalityNeonatesPredictorsPretermVery low birth weight (VLBW)

Identifiers

PMID32813195
OpenAlexW3077807903

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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.