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Record W7099055939

ethics in cardiopulmonary medicine Long-term Ventilation for Patients With Duchenne Muscular Dystrophy* Physicians ’ Beliefs and Practices

2011· article· en· W7099055939 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsDuchenne muscular dystrophyQualitative researchNeuromuscular diseaseQuality of life (healthcare)MEDLINEQualitative analysisVolunteer
DOInot available

Abstract

fetched live from OpenAlex

Study objectives: Although long-term ventilation (LTV) has been shown to extend the lives of individuals with Duchenne muscular dystrophy (DMD), initiating LTV is still considered controversial. The purpose of the study was to describe the LTV-related attitudes and practices of Canadian physicians who follow up patients with DMD. Design: The study consisted of a mail questionnaire supplemented by face-to-face interviews. Participants: Forty-five physicians who follow up patients with DMD through Canadian neuromuscular clinics. Measurements: A mail questionnaire of 66 closed-ended questions related to practice and attitudes was completed by all respondents. Qualitative semistructured interviews were conducted with six volunteer physicians, and were audiotaped and transcribed. Results: The results indicated that 25.0 % of physicians do not discuss LTV with all of their DMD patients. The most frequently cited reason for advising against LTV was poor patient quality of life (52.6%). Three themes emerged from the qualitative data: mentioning and discussing LTV are discrete events with different purposes, nighttime and full-time LTV decisions are approached differently, and physicians modify their discussions to influence outcome.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.299
Teacher spread0.234 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2011
Admission routes1
Has abstractyes

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