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Record W2346918051

THE DOWN'S SYNDROME PATIENT: NOT A DOWNER

2013· article· en· W2346918051 on OpenAlexaff
Alan E. Gross

Bibliographic record

VenueJournal of Bone and Joint Surgery-british Volume · 2013
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSurgeryOsteoarthritisRadiological weaponTotal hip arthroplastyArthroplasty
DOInot available

Abstract

fetched live from OpenAlex

Hip osteoarthritis is prevalent in 8%–28% of patients with Down9s Syndrome. Presence of disabling hip pain is increased along with prolonged life expectancy, suggesting total hip arthroplasty (THA). Seven consecutive patients (9 hips) with Down9s syndrome had primary THA. Coxarthrosis was secondary to developmental hip dysplasia in 6 patients and slipped capital epiphysis in 1 patient. In 5 patients (7 hips) a previous hip surgery was performed. Average clinical and radiological follow up was 9.9 ± 6.4 years (range 2–22.5, median 9.3). Average age of patients at THA was 34.8 ± 7.5 years (range 25–47, median 35.4). In 2 patients (3 hips) a trochanteric slide was used for the surgical approach, while a lateral transgluteal approach was used in the remaining patients. One way ANOVA test was used to compare Harris Hip Scores (HHS) at post-operative follow-up. HHS improved significantly (p=0.008) improved from 4.1 ± 15.1 (range 18.5–65, median 45) to 84.3 ± 7.7 (range 70–93, median 85.8 at 4 year follow up. HHS (average 70.9 ± 6.2, range 66.5–80, median 68) remained essentially unchanged (p=0.43) at 8 year follow-up. Two patients required revision arthroplasty for stem loosening at 6 and 16 years post THA, respectively. The first patient is 7 years post revision and ambulates without aids. The second patient is 6.1 years post revision and ambulates with a walker. Six of the THAs required a constrained liner. No dislocations or deep infections were encountered. THA is reliable surgical intervention in patients with Down9s Syndrome and symptomatic coxarthrosis.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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
Published2013
Admission routes1
Has abstractyes

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