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Record W1990990206 · doi:10.1097/blo.0b013e318059b91f

Functional Outcomes after Treatment of Aggressive Tumors in the Distal Radius

2007· article· en· W1990990206 on OpenAlexaffabout
Shannon Puloski, Anthony M. Griffin, Peter C. Ferguson, Robert S. Bell, Jay S. Wunder

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2007
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineRADIUSDistal radius fractureMEDLINEPoison controlSurgeryMedical emergencyWrist

Abstract

fetched live from OpenAlex

We aimed to determine whether wide excision and radiocarpal arthrodesis in patients with aggressive tumors of the distal radius resulted in more significant functional deficit than joint salvage procedures. We compared functional outcomes, surgical complications, and local tumor relapse in 33 consecutive patients. Fourteen patients initially had joint-sparing procedures, whereas 19 underwent wide resection and arthrodesis. At minimum final followup of 18 months (mean, 96 months; range, 18-204 months), local tumor relapse occurred in five of 14 patients after joint salvage versus zero of 19 after arthrodesis. Two of five patients with tumor recurrence retained their native joints, whereas three underwent resection and arthrodesis. Six of 19 patients had complications, including one nonunion, for which we performed additional surgery after arthrodesis. All patients remained disease-free at followup and none developed metastases. Disabilities of the Arm, Shoulder and Hand score, Toronto Extremity Salvage Score, and Musculoskeletal Tumor Society scores all indicated more disability after arthrodesis. Persistent pain, radiographic wrist arthritis, and weaker grip strength was seen in some patients following joint salvage. Whenever possible, joint preservation is preferable for the result of better extremity function, but weaker grip, higher local tumor relapse, and late arthritis remain concerns.

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)0.006
metaresearch head score (Gemma)0.002
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 score0.089
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.434
Teacher spread0.346 · 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

Citations35
Published2007
Admission routes2
Has abstractyes

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