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Informed consent and hypoplastic left heart syndrome

2005· article· en· W2130069491 on OpenAlexafffundabout
Paul Byrne, Aisling Murphy

Bibliographic record

VenueActa Paediatrica · 2005
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsStollery Children's HospitalUniversity of Alberta
FundersUniversity of Alberta
KeywordsHypoplastic left heart syndromeMedicineInformed consentComfort carePediatricsIntensive careBayley Scales of Infant DevelopmentIntensive care medicineNursingHeart diseasePsychiatryCardiologyPalliative careAlternative medicineCognition

Abstract

fetched live from OpenAlex

UNLABELLED: We present an ethical analysis from the perspective of shared decision-making and informed consent of a change in clinical management of infants born with hypoplastic left heart syndrome (HLHS). We reported a change in treatment of HLHS at the University of Alberta away from comfort care to life-saving surgery (LST) between 1987 and 1998. In a second review (1996-2001), 49/62 infants received LST, with 81% survival from the NICU and 58% at 35 mo. Eleven infants died preoperatively of non-cardiac conditions and two received elective comfort care. Sixteen infants had 18-mo Bayley Mental Development Index, mean score 84+/-19, but five scored <70. Although we continue to present the comfort care option to parents, since 2001 LST use for HLHS at our center is almost universal despite serious complications. CONCLUSION: We conclude that these findings are inconsistent with an open, shared decision-making model of informed consent and we suggest that comfort care should remain an ethically valid choice until the rate of serious long-term complications of LST decreases.

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)0.080
metaresearch head score (Gemma)0.173
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.173
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.016
GPT teacher head0.272
Teacher spread0.255 · 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
GenreEmpirical

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

Citations19
Published2005
Admission routes3
Has abstractyes

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