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Elective orthopaedic surgery for inhibitor patients

2003· article· en· W2058101918 on OpenAlexaff
E. Carlos Rodríguez‐Merchán, Jerome D. Wiedel, T. Wallny, Ivan Hvid, Erik Berntorp, GE Rivard, N J Goddard, Felipe Querol, Horacio Caviglia

Bibliographic record

VenueHaemophilia · 2003
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineMEDLINEGeneral surgerySurgery

Abstract

fetched live from OpenAlex

We report on a series of 108 elective orthopaedic surgical procedures. It includes 88 radiosynoviortheses and 20 major orthopaedic procedures, performed on 51 patients at nine centres worldwide. The average age of patients was 28.5 years (range 5-40 years), and the average follow-up time was 2 years (range 1-5 years). There were 82 good results, 15 fair and 11 poor. In the synoviorthesis group (41 patients, 88 synoviortheses) the average age was 14.3 years (range 5-40 years) and the average follow-up was 6.5 years (range 1-10 years). There were 66 good results, 14 fair and eight poor. There were no complications. In the group of major orthopaedic procedures, the average age of the 10 patients was 32.5 years (range 27-40 years), and the average follow-up was 2.3 years (range 1-5 years). There were 16 good results, one fair and three poor. Postoperative bleeding complications occurred in three of the 20 major orthopaedic procedures performed (15% complications rate). They occurred in three patients treated with insufficient doses of recombinant activated factor VII. Despite such complications, the study has shown that haemophilic patients with inhibitors requiring elective orthopaedic surgery (EOS) can undergo such procedures with a high expectation of success. In other words, EOS is now possible in haemophilic patients with inhibitors, leading to an improved quality of life for these patients. Thorough analysis of each case as part of a multidisciplinary team will allow us to perform elective orthopaedic procedures in patients with inhibitors.

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)0.001
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 score0.316
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.034
GPT teacher head0.299
Teacher spread0.266 · 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

Citations74
Published2003
Admission routes1
Has abstractyes

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