Near-infrared spectroscopy during respiratory support at birth: a systematic review
Bibliographic record
Abstract
Objective During perinatal transition, compromised cerebral oxygenation may contribute to neonatal morbidity and mortality. Near-infrared spectroscopy measures cerebral regional tissue oxygen saturations (crSO2) and may guide delivery room respiratory management. This review evaluated whether crSO2 monitoring in addition to routine assessment (clinical assessment, pulse oximetry +/− ECG) compared with routine assessment alone improves neonatal outcomes. Design Systematic review and meta-analysis based on Ovid MEDLINE, Embase, and Cochrane CENTRAL searches (16 February and 5 November 2024). Setting Delivery room. Patients Newborn infants of all gestations, born via any mode, receiving continuous positive airway pressure and/or intermittent positive pressure ventilation during stabilisation/resuscitation. Intervention crSO2 monitoring with a dedicated treatment guideline in addition to routine assessment compared with routine assessment alone. Main outcome measures Survival without neurodevelopmental impairment, survival, severe intraventricular haemorrhage and periventricular leukomalacia (infants <34 weeks); and crSO2 <10th percentile. Results Among 566 articles, 3 articles reporting outcomes from 2 randomised controlled trials (RCTs) (667 preterm infants) were identified. No data were found for survival without neurodevelopmental impairment. We could not exclude benefit or harm from delivery room monitoring of crSO2 for survival (relative risk (RR) 1.02, 95% CI 0.99 to 1.05), severe intraventricular haemorrhage (RR 0.76, 95% CI 0.38 to 1.54), periventricular leukomalacia (RR 1.93, 95% CI 0.66 to 5.70) (n=667; two RCTs) and crSO2 <10th percentile (RR 1.00, 95% CI 0.78 to 1.29) (n=60; one RCT). Conclusions The limited evidence could not exclude benefit or harm from delivery room monitoring of crSO2 with a dedicated treatment guideline in preterm infants.
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 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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".