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Record W4403195969 · doi:10.1111/apa.17444

Assessing the association between necrotizing enterocolitis and the type of initial central venous access in preterm infants

2024· article· en· W4403195969 on OpenAlexafffundabout
Assil Abda, Eugene W. Yoon, Jaideep Kanungo, Cecil Ojah, Anie Lapointe, Prakesh S. Shah, Marc Beltempo, Keith J. Barrington

Bibliographic record

VenueActa Paediatrica · 2024
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsMontreal Children's HospitalDalhousie UniversityUniversity of TorontoMcGill UniversityUniversity of CalgaryUniversité de MontréalSaint John Regional HospitalMount Sinai HospitalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health Research
KeywordsMedicineNecrotizing enterocolitisGestational ageVenous accessGestationPediatricsCentral venous catheterBirth weightEnterocolitisObstetricsVascular accessCatheterPregnancySurgeryInternal medicine

Abstract

fetched live from OpenAlex

AIM: Umbilical venous catheters (UVC) have been associated with an increased risk of necrotizing enterocolitis (NEC). We aimed to assess the relationship between the type of initial central venous access in preterm infants and NEC. METHODS: Using the Canadian Neonatal Network database, we identified preterm infants <30 weeks gestation born between 2014 and 2021 in one of 32 participating centres who had a peripherally inserted central catheter (PICC) as initial vascular access. These infants were matched in a 1:1 ratio based on gestational age, sex and birth weight to infants in two other groups: (i) those who initially had an UVC and (ii) those who had an UVC followed by a PICC. RESULTS: A total of 497 infants were included in this study: 165 in the PICC group, 164 in the UVC group and 165 in the UVC + PICC group. There was no association between the type of initial central venous access and NEC. CONCLUSION: Although this retrospective study did not find an association between the type of initial central venous access and NEC, larger prospective studies are required to evaluate this association.

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)0.000
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 score0.020
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.057
GPT teacher head0.426
Teacher spread0.369 · 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 designObservational
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

Citations1
Published2024
Admission routes3
Has abstractyes

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