Who is using noninvasive ventilation? A descriptive study examining the population enrolled in a pediatric noninvasive ventilation program
Bibliographic record
Abstract
DESIGN AND METHODS: This study used a retrospective design and involved reviewing the charts of infants and children enrolled in the noninvasive ventilation (NIV) program at a quaternary pediatric hospital located in Western Canada in 2017. Demographic and clinical variables were collected, along with variables related to adherence to NIV therapy. For data storage and analysis purposes, a comprehensive database was created. Descriptive statistics were used to analyze and better understand patterns within the data. RESULTS: Findings included a comprehensive description of the population of infants and children enrolled in this NIV program in 2017, including demographic and clinical variables as well as follow-up and adherence data. This study identified that the NIV program at this pediatric center has unique characteristics which provide an exciting opportunity for further research into the population that requires NIV support. PRACTICE IMPLICATIONS: This study presents new knowledge, gathered by examining the clinical characteristics of a pediatric population that requires NIV, which can be used to inform practice, support NIV program planning, and health resource allocation, as well as suggest directions for future research on pediatric NIV therapy.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".