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Record W7046152651

Concerns, Desires and Expectations of Surgery for Adolescent Idiopathic Scoliosis: A Comparison of Patients', Parents' & Surgeons' Perspectives

2008· dissertation· en· W7046152651 on OpenAlexvenueaboutno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2008
Typedissertation
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsIdiopathic scoliosisNatural historyScoliosisCorrective surgeryMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Concerns, Desires and Expectations Of Surgery For Adolescent Idiopathic Scoliosis: A Comparison Of Patients’, Parents’ & Surgeons’ Perspectives.\nMaster of Science, 2008\nUnni G. Narayanan\nDepartment of Health Policy, Management & Evaluation\nUniversity of Toronto\n\nABSTRACT\nThis study explored the concerns, desires (goals) and expectations of adolescents undergoing surgery for idiopathic scoliosis, and contrasted their priorities with those of their parents and surgeons. Parents were more concerned than their children about the consequences of scoliosis and of surgery. With the exception of improving physical appearance, surgeons' goals of surgery were different from those of either the patients or parents. There was little agreement among surgeons about the natural history of scoliosis, other goals of surgery and the likelihood of specific outcomes. Parents wanted and expected more from surgery than their children. Parents and patients had greater expectations of surgery than surgeons. Although adolescents had different priorities from their parents, parents were aware of these differences and reliably predicted their children’s priorities. These findings have important implications on shared decision-making and informed consent, and might contribute to better understanding and measurement of outcomes that matter to patients.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.236
Teacher spread0.215 · 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 designQualitative
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
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicScoliosis diagnosis and treatment→French-language works237,207→