Near infrared spectroscopy (NIRS) derived tissue oxygenation in critical illness
Bibliographic record
Abstract
PURPOSE: Near infrared spectroscopy (NIRS) is an emerging technology that can measure tissue oxygen saturation levels (StO2) and has many potential clinical applications. NIRS devices have been studied in various disease states in the pediatric as well as adult populations. A review of this technology, with its potential applications and a review of current evidence is presented. PRINCIPAL FINDINGS: NIRS-derived regional tissue oxygen saturation (StO2) is superior to pulse oximetry as it measures tissue oxygen saturation and reflects imbalance between oxygen supply and local demand. Becoming more widely available, it still does not have a firmly established role due to its technical limitations and to the lack of large multi-centric randomized controlled studies necessary to confirm its utility, cost-benefit effectiveness and role in improving patient outcomes. CONCLUSION: Widespread availability, ease of use, non-invasive nature and continuous data display makes it an attractive option for bedside clinical monitoring.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".