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Record W4386116728 · doi:10.1097/pxr.0000000000000267

Functional outcome of a patient after hip disarticulation due to an infection 10 years after limb salvage surgery for osteosarcoma: A case report

2023· article· en· W4386116728 on OpenAlexaboutno aff
Masahiro Aoki, Takanori Murakami, Sumio Ishiai, Toshiya Nosaka

Bibliographic record

VenueProsthetics and Orthotics International · 2023
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmputationDisarticulationSurgeryOsteosarcomaQuality of life (healthcare)Orthopedic surgeryHemipelvectomyActivities of daily livingPhysical therapy

Abstract

fetched live from OpenAlex

Limb salvage is a common procedure after extensive osteosarcoma resection. However, the long-term outcomes after limb salvage surgery (LSS) remain unclear. In this article, the case of a 24-year-old man who underwent hip disarticulation (HD) after an uncontrollable infection is presented. He was previously diagnosed with right distal femoral osteosarcoma and underwent LSS 10 years before disarticulation. Four years after LSS, an uncontrollable infection developed around the endoprosthesis, which eventually prompted HD. The Musculoskeletal Tumor Society (MSTS) functional rating system and the Toronto Extremity Salvage Score were used to compare the subject's activity statuses after LSS and HD. MSTS functional scores were 53.3% after LSS and 60% after HD. Toronto Extremity Salvage Scores were 78.3% after LSS and 95.8% after HD. The subject's emotional acceptance was 3 for LSS and 5 for HD (0 = worst and 5 = best). Both the MSTS and Toronto Extremity Salvage Scores were greater after HD than after LSS. The subject's improved emotional acceptance of the affected limb after HD contributed to the improved functional assessment scores. Alleviation of pain and other disabilities associated with the infection may have contributed to the higher functional scores after the more recent HD surgery. Even if amputation is unavoidable because of complications, high psychological acceptance may prevent a decrease in patient mobility and quality of life after amputation.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.035
GPT teacher head0.306
Teacher spread0.271 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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