Later rather than sooner: the impact of clinical management on timing and modes of death in the last decade
Bibliographic record
Abstract
AIM: Technological and clinical advances have reduced neonatal deaths, and this study explored how the mode and timing of neonatal deaths has changed in a tertiary neonatal intensive care unit (NICU) over 10 years. METHODS: We carried out a retrospective chart review on NICU deaths in 2000-2002 and 2007-2010, categorising deaths and compared the timing, cause and mode of death in the two cohorts. RESULTS: We analysed 204 neonatal deaths and found that the average age at death doubled from 9.71 days in 2000-2002 to 18.8 days (p = 0.014) in 2007-2010 and that the number of deaths in the first 48 h of life fell from 52% to 29% (p < 0.001). Mode of death and ethical decision-making was similar. In both cohorts, 26% of patients who died had a do not resuscitate order and 9% of the 151 patients without an order died while receiving cardiopulmonary resuscitation. Most neonates received medication to keep them comfortable and their use was similar in both cohorts. CONCLUSION: Changes in neonatal management have led to a reduction in early deaths and an increase in age at death. The impact of later deaths on families and healthcare providers deserves further research.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".