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Record W2031873016 · doi:10.1136/ebn.5.3.74

A semidemand feeding protocol reduced time to full oral feeding in healthy preterm infants

2002· letter· en· W2031873016 on OpenAlexaff
Brenda Stade, Catherine Bishop

Bibliographic record

VenueEvidence-Based Nursing · 2002
Typeletter
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicinePediatricsGestational agePregnancy

Abstract

fetched live from OpenAlex

McCain GC, Gartside PS, Greenberg JM, et al. A feeding protocol for healthy preterm infants that shortens time to oral feeding. J Pediatr2001 Sep; 139 : 374 –9 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In healthy preterm infants, is a semidemand feeding protocol more effective than the standard practice of scheduled feedings for reducing the time to attain full oral feeding and maintaining a satisfactory weight gain? Randomised (unclear allocation concealment), unblinded controlled trial with {follow up to attainment of full oral feeding}*. 2 neonatal intensive care units in Cincinnati, Ohio, USA. 89 preterm infants who were 32 to ≤34 weeks postconceptional age and appropriate for gestational age. Infants with congenital anomalies, gastrointestinal conditions, neurological diagnoses, or grade III/IV intracranial haemorrhage were excluded. 81 infants (91%) completed the study (mean postconceptional age at study entry 32 wks, 53% boys). 44 infants were allocated to a semidemand feeding protocol. 10 minutes of non-nutritive sucking (NNS) were provided every 3 hours, followed up by an assessment of behavioural state (modified Anderson Behavioral State scale). If the infant was judged to be in a state of … [1]: {openurl}?query=rft.jtitle%253DThe%2BJournal%2Bof%2Bpediatrics%26rft.stitle%253DJ%2BPediatr%26rft.aulast%253DMcCain%26rft.auinit1%253DG.%2BC.%26rft.volume%253D139%26rft.issue%253D3%26rft.spage%253D374%26rft.epage%253D379%26rft.atitle%253DA%2Bfeeding%2Bprotocol%2Bfor%2Bhealthy%2Bpreterm%2Binfants%2Bthat%2Bshortens%2Btime%2Bto%2Boral%2Bfeeding.%26rft_id%253Dinfo%253Adoi%252F10.1067%252Fmpd.2001.117077%26rft_id%253Dinfo%253Apmid%252F11562616%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1067/mpd.2001.117077&link_type=DOI [3]: /lookup/external-ref?access_num=11562616&link_type=MED&atom=%2Febnurs%2F5%2F3%2F74.atom [4]: /lookup/external-ref?access_num=000171273300009&link_type=ISI

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.124
GPT teacher head0.430
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations5
Published2002
Admission routes1
Has abstractyes

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