Cardiocirculatory Monitoring during Immediate Fetal-to-Neonatal Transition: A Systematic Qualitative Review of the Literature
Bibliographic record
Abstract
BACKGROUND: The fetal-to-neonatal transition is a complex process that includes changes in cardiac and respiratory systems. OBJECTIVE: The aim of this study is to review the different methods of cardiocirculatory monitoring during the immediate neonatal transition period. METHODS: A systematic search of PubMed and Ovid Embase was performed using the following terms: infant, newborn, newborn infant, neonate, neonates, heart, cardiac, blood pressure, haemodynamic, hemodynamics, blood circulation, circulation, echocardiography, ultrasonography, sonography, electrocardiography, ECG, oximetry, pulse, pulse oximetry, monitoring, measurement, acclimatization, adaptation, transition, after birth and delivery room. Additional articles were identified by manual search of cited references. Only human studies describing cardiocirculatory monitoring during the first 15 min after birth were included. RESULTS: Thirteen studies were identified that described heart rate (HR). Additional five studies were identified that measured blood pressure. Four studies performed functional echocardiography during neonatal transition; two in addition to blood pressure monitoring and three in addition to HR monitoring. CONCLUSION: Routine HR monitoring using electrocardiography or pulse oximetry is used to evaluate adequate hemodynamic transition, and reference ranges have been established. Measuring blood pressure noninvasively though noncontinuously might be of some value in future, considering that the normative data have been established recently. Echocardiographic monitoring during the immediate transition period will improve the knowledge about cardiac function changes, but introduction in clinical routine remains questionable.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".