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Record W89912431 · doi:10.1093/pch/14.1.9

Re: Advance care planning for paediatric patients

2009· article· en· W89912431 on OpenAlexaff
Stephen Liben

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcGill University Health CentreMontreal Children's Hospital
Fundersnot available
KeywordsMedicineIntensive care medicine

Abstract

fetched live from OpenAlex

The position statement “Advance care planning for paediatric patients”, which was published in the November 2008 issue of Paediatrics & Child Health, includes helpful recommendations for those who care for children with severe chronic conditions. However, the checklist (in the appendix) contains some misleading options for “a limited DNR order” that have the potential to create much difficulty for caregivers who respond to cardiorespiratory arrests (ie, code teams). The attached checklist creates the impression that parents can choose from a ‘menu’ of resuscitation options that include them saying no to bag-mask ventilation, but yes to chest compressions. It makes no sense to leave orders for chest compressions but no assisted ventilation, particularly given that most paediatric arrests result from respiratory failure as a primary cause. Alternatively, it appears that parents could say ‘yes’ to bag-mask ventilation but ‘no’ to intubation, which would leave providers with the dilemma of having to bag-mask ventilate until what end point? The principle of discussing the kinds of interventions that may be helpful and desired in the event of a cardiopulmonary arrest should result in orders that both make sense and respect child and parental wishes. Once the parents and the child understand what is medically possible and what is not possible, it is then up to the physician to write orders that reflect these wishes and then explain to the parents what will happen and why. Limited do not attempt resuscitation orders are certainly possible and are, in fact, common in our institution. However, the attached checklist, as it stands, may do more harm than good.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0870.018

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 head0.021
GPT teacher head0.337
Teacher spread0.315 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2009
Admission routes1
Has abstractno

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