Evidence map›Paper›PMID 39318920›Full record

ArticleCureus2024

Role of Hindmilk in Weight Gain of Preterm Low-Birth-Weight Neonates: A Prospective Comparative Study.

Jayasrinivas S Gandikota, Shankargouda V Patil, Mallanagouda Patil

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jayasrinivas S GandikotaPediatrics, Shri B. M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to be University), Vijayapura, IND.
Shankargouda V PatilPediatrics, Shri B. M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to be University), Vijayapura, IND.
Mallanagouda PatilPediatrics, Shri B. M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to be University), Vijayapura, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The significance of low birth weight cannot be overstated when considering the mortality rates during the perinatal and neonatal stages. Babies who were born premature, especially those with extremely low birth weights, have significant health challenges and require adequate feeding to grow and develop well. Specifically, hindmilk is rich in essential nutrients for neonate growth and development. This study aims to evaluate how hindmilk impacts the weight gain and anthropometry (specifically occipitofrontal circumference and length) of preterm low-birth-weight neonates. Methods A prospective comparative study was conducted on 148 preterm low-birth-weight neonates admitted to the neonatal intensive care unit of a tertiary care hospital in Vijayapura, part of Northern Karnataka. Informed consent was taken and scrutinized by the Institutional Review Board of BLDE University (approval number: BLDE(DU)/IEC/653/2022-23). The neonates were categorized as Group 1, which received hindmilk, or Group 2, which received composite milk based on the computer-generated block randomization list by the investigator. Weight gain and anthropometry were measured and analyzed using SPSS Statistics version 20 (IBM Corp., Released 2011; IBM SPSS Statistics for Windows, Version 20.0; Armonk, NY: IBM Corp.) at the end of the study. Results Group 1 neonates exhibited significantly higher mean values for weight at discharge (1664.22 ± 328.9 grams vs. 1542.33 ± 369.24 grams, p = 0.03), head circumference (31.72 ± 2.52 centimeters (cm) vs. 30.76 ± 4.01 cm, p = 0.04), and length (44.10 ± 2.84 cm vs. 42.23 ± 3.76 cm, p = 0.00) compared to Group 2. Conclusion To enhance the growth outcomes of low-birth-weight preterm neonates, selective hindmilk feeding is highly recommended. Hence, it should be adopted in neonatal care to optimize growth and development.

Indexed as

anthropometryhindmilklow-birth-weight babiespretermweight gain

Identifiers

PMID39318920
PMCPMC11421197

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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.