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Record W3134356803 · doi:10.1002/jso.26426

Long‐term patient‐reported outcome measures following limb salvage with complex reconstruction or amputation in the treatment of upper extremity sarcoma

2021· article· en· W3134356803 on OpenAlexaboutno aff
Yannick Albert J. Hoftiezer, Jonathan Lans, Brigitte E.P.A. van der Heijden, Neal C. Chen, Kyle R. Eberlin, Santiago A. Lozano‐Calderón

Bibliographic record

VenueJournal of Surgical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmputationCohortDepression (economics)AnxietySurgeryCohort studyPhysical therapyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: This study compares long-term patient-reported outcomes between patients that underwent limb-salvage surgery with complex reconstruction by free or pedicled flap (LS) or amputation. Additionally, the need for revision surgery is compared. METHODS: A total of 43 patients were studied at a median follow-up of 9.54 years. Sixteen patients completed questionnaires regarding functional outcome and mental wellbeing. Functional outcomes were measured by using the Toronto Extremity Salvage Score (TESS), QuickDASH, and PROMIS Upper Extremity instruments. Mental wellbeing was assessed using the PROMIS Anxiety and Depression instruments. Revision surgery was assessed for the entire follow-up. RESULTS: The median TESS scores were 96.0 versus 71.7 (p = 0.034) and the PROMIS Upper Extremity scores were 50.1 versus 40.3 (p = 0.039) for the LS and amputation cohorts, respectively. No significant difference was found regarding symptoms of anxiety (52.7 vs. 53.8; p = 0.587) or depression (52.0 vs. 50.5; p = 0.745). Of the patients in the LS cohort 51.6% required at least one reoperation compared to 8.33% in the amputation cohort. CONCLUSIONS: LS surgery maintains functional benefits over amputation after almost a decade of follow-up. Still, mental wellbeing seems to be comparable between these patients, whereas LS procedures are associated with a sixfold increased need for reoperations.

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)0.001
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 score0.356
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.078
GPT teacher head0.348
Teacher spread0.270 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

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