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Record W4241218904 · doi:10.1002/14651858.cd003959

Higher versus lower protein intake in formula-fed low birth weight infants

2003· reference-entry· en· W4241218904 on OpenAlexaff
Shahirose Premji, Tanis R. Fenton, Reg Sauvé

Bibliographic record

VenueThe Cochrane Database of Systematic Reviews · 2003
Typereference-entry
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsAnimal scienceMedicineBody weightBirth weightKilogramEnergy requirementPediatricsPregnancyInternal medicineBiologyMathematics

Abstract

fetched live from OpenAlex

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: The aim of this review is to determine whether higher (>= 3.0 g/kg/day) versus lower (< 3.0 g/kg/day) protein intakes in formula fed preterm infants < 2.5 kilograms result in improved growth and neurodevelopmental outcomes without evidence of short and long‐term morbidity. Subgroup analyses will be undertaken to examine the following distinctions in protein intakes: a) low protein intake if the amount is less than 3.0 g/kg/day b) high protein intake if the amount is equal to or greater than 3.0 g/kg/day but less than 4.0 g/kg/day c) very high protein intake if the amount is equal to or greater than 4.0 g/kg/day If the literature combines alterations of protein and energy, subgroup analyses will be carried out for the planned categories of protein intake according to the following predefined non‐protein energy intake categories: a) Low energy intake, less than 105 kcal/kg/day b) Medium energy intake, greater than or equal to 105 kcal/kg/day and less than or equal to 135 kcal/kg/day c) High energy intake, greater than 135 kcal/kg/day Since the Ziegler‐Fomon reference fetus estimates different protein requirements for infants with differing birth weights, subgroup analyses will be undertaken for the following birth weight categories: a) < 800 grams b) 800 to 1199 grams c) 1200 to 1799 grams d) 1800 to 2499 grams

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.340
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2003
Admission routes1
Has abstractyes

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