Non-invasive ventilation in palliative care: a systematic review
Bibliographic record
Abstract
INTRODUCTION: An ageing population and steady increase in the rates of neoplasms and chronic degenerative diseases poses a challenge for societies and their healthcare systems. Because of the recent and continued advances in therapies, such as the development and widespread use of non-invasive ventilation (NIV), survival rates have increased for these pathologies. For patients with end-stage chronic respiratory diseases, the use of NIV following the onset of acute or severe chronic respiratory failure is a valid option when intubation has been excluded. EVIDENCE ACQUISITION: The following electronic databases were searched from their inception to January 2000 to December 2017: MEDLINE, EMBASE, CINHAIL, CENTRAL (Cochrane Central register of Controlled Trials), DARE (Database of Abstracts of Reviews of Effectiveness), the Cochrane Database of Systematic Reviews, ACP Journal Club database. EVIDENCE SYNTHESIS: The available evidence strongly supports the use of NIV in patients presenting with an exacerbation of chronic obstructive pulmonary disease, as well end-stage neuromuscular disease. Few studies support the use of NIV in end-stage interstitial lung disease and in morbid obesity patients. In patients with cancer has been recommend offering NIV as palliative care to improve dyspnea. CONCLUSIONS: The decision regarding the treatment should be made by the patient, ideally before reaching the terminal stage and after having a frank dialogue with healthcare professionals and family members.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
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".