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Record W4321748239 · doi:10.1002/ppul.26354

The long‐term outcomes of symptomatic congenital lobar emphysema patients

2023· article· en· W4321748239 on OpenAlexaff
Dvir Gatt, Eveline Lapidus‐Krol, Priscilla Chiu

Bibliographic record

VenuePediatric Pulmonology · 2023
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineNOPAsymptomaticRetrospective cohort studySurgeryPediatricsInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Surgical (OP) management for symptomatic congenital lobar emphysema (CLE) is the standard of care with nonoperative (NOP) approach applied for asymptomatic cases. The aim of this study is to report the outcomes for NOP approach to the care of symptomatic CLE infants. METHODS: A retrospective study of CLE patients treated 2000-2021 at a single institution. Patients with CLE and respiratory symptoms were included. RESULTS: Overall, 23 children had symptomatic CLE, and 12 had NOP management. The median age at diagnosis was 38.5 days (50) in the NOP group versus 25 days (20) in the OP group (p = 0.31). There was no significant difference in the location of the involved lobe, term birth, postnatal diagnosis and gender, and both groups required noninvasive support in 33% of the cases. There was a trend towards higher frequency of oxygen support in the OP group preoperatively (89% vs. 42%, p = 0.07). The median length of stay was 14 days in the NOP group compared to a median postsurgery stay of 7.5 days in the OP group. In follow-up, there was no significant difference in respiratory readmission in first year of life, growth delay, treatment with asthma medication or body mass index in the NOP versus OP group. None of the children in the NOP group required surgery during follow-up. CONCLUSIONS: A NOP approach for symptomatic CLE infants can have favorable long-term outcomes. Further studies will be required to identify markers to aid in clinical decision-making.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.018
GPT teacher head0.284
Teacher spread0.266 · 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 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

Citations6
Published2023
Admission routes1
Has abstractyes

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