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Record W2005033679 · doi:10.1139/h11-008

Effect of pasteurization on immune components of milk: implications for feeding preterm infants

2011· review· en· W2005033679 on OpenAlexaffvenue
Julia B. Ewaschuk, Sharon Unger, Deborah L. O’Connor, Catherine J. Field

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2011
Typereview
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsHospital for Sick ChildrenUniversity of Alberta
Fundersnot available
KeywordsPasteurizationBreast milkNecrotizing enterocolitisMedicineInfant formulaImmune systemBreastfeedingBreast feedingFood scienceImmunologyBiologyPediatrics

Abstract

fetched live from OpenAlex

It has been unequivocally proven that human breast milk is the ideal source of nutrition for infants. However, mothers of preterm infants face a number of barriers to providing sufficient milk volume to their babies, who are at risk for developing necrotizing enterocolitis (NEC). Donated milk, distributed through milk banks, is becoming a desirable alternative to formula feeding, and is increasingly being considered for hospitalized, preterm infants in North America. Donor milk in North America is pasteurized (62.5 °C, 30 min) to remove possible infectious contaminants; a number of immune and bioactive components are either partially or entirely inactivated by this process. Identifying the impact of pasteurization on immune components of breast milk has been the focus of numerous research studies over the past several decades. The objective of this review is to summarize the literature on the feeding of pasteurized donor milk to preterm infants and the current understanding of the impact of pasteurization on immune components of breast milk, with particular reference to those implicated in the prevention of NEC.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.340
Teacher spread0.299 · 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 designNot applicable
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

Citations100
Published2011
Admission routes2
Has abstractyes

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