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Record W2335331827 · doi:10.1097/mph.0000000000000536

Impact of Growth Restriction and Other Prenatal Risk Factors on Cord Blood Iron Status in Prematurity

2016· article· en· W2335331827 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsHealth Research Foundation
FundersUniversity of Wisconsin-Madison
KeywordsMedicineIron statusCord bloodGestational agePediatricsPregnancyObstetricsFetusUmbilical cordIron deficiencySmall for gestational ageInternal medicineAnemiaImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether prenatal risk factors (RFs) that predict cord blood iron status in term newborns also predict iron status of premature newborns. STUDY DESIGN: Cord blood iron indices from 80 preterm newborns were compared with historical and demographic RFs for developing iron deficiency if born at term. RESULT: The presence of multiple RFs did not incrementally interfere with cord iron status in preterm newborns. Poorer iron status accompanied being small for gestational age in prematurity, but other RFs, including diabetes, had relatively little impact. CONCLUSION: Growth-restricted preterm newborns are at risk for poor iron endowment, likely due to uteroplacental insufficiency. Other RFs were less impactful on iron status of premature newborns than in term newborns, likely reflecting that disruptive effects of RFs are more impactful in the third trimester. Understanding RFs for poor iron endowment is important for clinical recognition and treatment of premature babies.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.332
Teacher spread0.316 · 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