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Record W2237077630 · doi:10.1089/bfm.2015.0125

Introduction of Bovine-Based Nutrient Fortifier and Gastrointestinal Inflammation in Very Low Birth Weight Infants as Measured by Fecal Calprotectin

2016· article· en· W2237077630 on OpenAlexafffund
Julia Panczuk, Sharon Unger, Jane Francis, Nicole Bando, Alex Kiss, Deborah L. O’Connor

Bibliographic record

VenueBreastfeeding Medicine · 2016
Typearticle
Languageen
FieldNursing
TopicInfant Nutrition and Health
Canadian institutionsHospital for Sick ChildrenMount Sinai HospitalSunnybrook HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchAbbott Laboratories
KeywordsCalprotectinMedicineFecesFortificationGastrointestinal tractLow birth weightBreastfeedingBiomarkerBirth weightInflammationGastroenterologyPhysiologyObstetricsAnimal scienceInternal medicinePediatricsPregnancyFood scienceBiologyMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: Fecal calprotectin (fCP) is a biomarker of gastrointestinal tract (GIT) inflammation that is currently being used investigationally among very low birth weight (VLBW) infants. MATERIALS AND METHODS: Stool was collected weekly from 20 breastmilk-fed VLBW infants for up to 8 weeks after birth during the establishment and fortification of feeds, and fCP concentrations were measured. RESULTS: Mean fCP levels increased significantly in stools collected immediately following bovine-based nutrient fortification of feeds (p = 0.005). CONCLUSIONS: Addition of bovine fortifier to breastmilk feeds appeared to be associated with an acute increase in GIT inflammation.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations16
Published2016
Admission routes2
Has abstractyes

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