Translating the Mechanisms of Hypoxia to Long-Term Oxygen Prescription in COPD
Bibliographic record
Abstract
TOPIC IMPORTANCE: in personalizing oxygen prescription before end-organ dysfunction becomes clinically apparent. REVIEW FINDINGS: From a scoping review of the literature, we identified several biomarkers that reflect the basic mechanisms of hypoxia at the cellular level in COPD. Although hypoxia-inducible factors are central to these mechanisms, the determination of their plasmatic concentration for clinical purposes currently is not well validated. Candidate biomarkers to guide LTOT prescription include circulating levels of hemoglobin, erythropoietin, brain natriuretic protein, and endothelin-1, as well as macroalbuminuria. Because response to oxygen may be determined genetically, genotyping potentially may serve as an additional method to personalize LTOT prescription. SUMMARY: thresholds may be inappropriate. According to precision medicine principles, we propose that it should be a priority to identify early indicators of adverse reactions to chronic hypoxia and to validate their usefulness in deciding who should receive LTOT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".