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Record W3022075800 · doi:10.2223/jped.1101

A "good" death in a pediatric ICU: is it possible?

2003· review· en· W3022075800 on OpenAlexaff
Daniel Garros

Bibliographic record

VenueJornal de Pediatria · 2003
Typereview
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePalliative careContext (archaeology)Pediatric intensive care unitMEDLINEGood deathNursingMedical emergencyIntensive care medicineFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: In the modern pediatric intensive care unit (PICU) physicians are often faced with the need to interrupt life-sustaining treatment (LST) and to allow children to die when no further treatment options are available. Consequently, the importance of palliative care has been increasing in this context. The goal of this review is to provide intensivists with guidelines to allow PICU patients to have a more dignified and humane death. SOURCE OF DATA: Medline was searched using relevant key-words, emphasizing the topic of death in the PICU. The principles of palliative care medicine were then applied to this context. SUMMARY OF THE FINDINGS: To ensure a dignified death for a child receiving palliative care in the PICU some important measures must be taken, such as: let the family participate in the decision-making process in an open and honest manner; allow family members to perform their religious rites and rituals; offer them moments of complete privacy; effectively manage pain and discomfort, especially at the time of removal of LST; and finally, let the family be present when LST is interrupted, if they so desire. CONCLUSIONS: A child's death following withdrawal of LST in the PICU can be humane and dignified if basic principles of palliative care are followed. This is especially important in an environment that is notorious for the use of complex technology and described by the general public as inhumane.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.131
GPT teacher head0.452
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations28
Published2003
Admission routes1
Has abstractyes

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