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Record W3211041430 · doi:10.1111/pan.14325

Congenital interstitial lung diseases: What the anesthesiologist needs to know

2021· review· en· W3211041430 on OpenAlexaff
Gianluca Bertolizio, Thomas Engelhardt, Francis Veyckemans

Bibliographic record

VenuePediatric Anesthesia · 2021
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsMedicineLymphangiomatosisPulmonary alveolar proteinosisBronchopulmonary dysplasiaInterstitial lung diseaseLungDysplasiaPathologyPediatricsInternal medicinePregnancyLymphatic systemGestational age

Abstract

fetched live from OpenAlex

Congenital interstitial lung diseases can affect both adults and children. Pediatric congenital interstitial lung diseases generally carry high risk for morbidly and mortality and include congenital alveolar capillary dysplasia with misalignment of pulmonary veins, congenital alveolar dysplasia, acinar dysplasia, congenital pulmonary lymphangiectasis, diffuse pulmonary lymphangiomatosis, neuroendocrine cell hyperplasia of infancy, pulmonary hemosiderosis, pulmonary alveolar proteinosis, and pulmonary interstitial glycogenosis. Given their usual non-specific clinical presentation, they are frequently misdiagnosed and recognized late, particularly in children who have been apparently healthy for several years (eg, diffuse pulmonary lymphangiomatosis). Some diseases have a very poor prognosis, whereas others have a benign course with appropriate treatment. The current manuscript reviews congenital interstitial lung diseases that typically affect neonates and young children and may be encountered by the pediatric anesthesiologist.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.051
GPT teacher head0.391
Teacher spread0.339 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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