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Record W2075533088 · doi:10.3928/01477447-20080101-36

Osteoarticular Autograft and Allograft Transplantation of the Knee: 3 year Follow-up

2008· article· en· W2075533088 on OpenAlexaboutno aff
Albert W. Pearsall, Sudhakar G Madanagopal, James T Hughey

Bibliographic record

VenueOrthopedics · 2008
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransplantationSurgeryOrthopedic surgery

Abstract

fetched live from OpenAlex

Between 1998 and 2001, a total of 48 patients underwent autologous or allograft osteoarticular transplantation with a minimum follow-up of 24 months. Nineteen patients underwent concomitant procedures. Average patient age was 46 years. Graft area averaged 4.8 cm2 (range, 0.2-21.6 cm(2)). Grafts implanted included 24 autografts, 12 refrigerated allografts, and 12 frozen allografts. Average follow-up was 37.1 months (range, 24-63 months). Postoperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, Knee Society Score (KSS), and pain scores improved significantly. Age <35 years and male gender was associated with a positive outcome. There was no significant difference in improvement between autograft and allograft groups. Nine patients, considered failures, underwent total knee arthroplasty and data analysis. No significant relationship was noted for any variable. Eighty-one percent of grafts are still functioning >3 years after transplantation.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.230
Teacher spread0.220 · 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 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

Citations12
Published2008
Admission routes1
Has abstractyes

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