Evidence map›Paper›PMID 38123801›Full record

ReviewJournal of perinatology : official journal of the California Perinatal Association2024

Targeting optimal protein delivery in parenteral and enteral nutrition for preterm infants: a review of randomized, controlled trials.

Laura D Brown, Jane Stremming, Daniel T Robinson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of perinatology : official journal of the California Perinatal Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Formula protein versus human milk protein and the effects on growth in preterm born infants.Current opinion in clinical nutrition and metabolic care · 2025
    Review
  3. 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 2 institutions in 1 country.

Laura D BrownDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Laura.Brown@CUAnschutz.edu.ORCID 0000-0002-0292-5029
Jane StremmingDepartment of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Daniel T RobinsonDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.ORCID 0000-0003-2450-9680
University of Colorado Anschutz Medical Campus · USNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Close attention to nutritional management is essential for optimizing growth and neurodevelopment of the preterm infant. Protein intake and the protein to energy ratio are the main determinants of growth and body composition. Yet large, multi-center, randomized controlled trials are lacking to guide protein delivery for the preterm infant. Until these studies are pursued, smaller trials must be used to inform clinical practice. This review summarizes the randomized controlled trials that have been performed to test the impact of higher vs. lower protein delivery to the preterm infant. We consider the trials that varied protein delivery rates during parenteral and enteral phases of nutrition. Considerable heterogeneity exists across study designs. Still, cumulative evidence from these trials provides a framework for current recommendations for protein intake in the preterm infant.

Indexed as

Dietary ProteinsEnteral NutritionInfant, PrematureParenteral NutritionRandomized Controlled Trials as TopicHumansInfant, NewbornInfant Nutritional Physiological PhenomenaDietary Proteins

Identifiers

PMID38123801
OpenAlexW4390054215

What OpenQuestion holds

Textmetadata
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.