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EVALUATION OF QUALITY OF LIFE IN PATIENTS TREATED FOR METASTATIC DISEASE OF THE PROXIMAL FEMUR

2018· dataset· en· W6958839448 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2018
Typedataset
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)PathologicalLife expectancyRetrospective cohort studyFemurPathologic fractureDiseaseBone disease

Abstract

fetched live from OpenAlex

ABSTRACT Objective: Patients with metastatic bone lesions have a limited life expectancy. These metastatic lesions compromise the proximal femur, and fractures are quite common. The survival of these patients depends on the behavior of the primary tumor. The aim of this study was to evaluate the quality of life of patients with extensive metastatic lesion of the proximal femur with pathological or imminent fracture, treated with non-conventional endoprosthesis. Methods: From May 2008 to August 2012, twenty-five (25) patients with bone metastases of the proximal femur, with pathological or imminent fracture were recruited into this study. These patients had survived for at least six weeks after surgery and the TESS questionnaire (Toronto Extremity Salvage Score) was administered. Results: The final score of the TESS was an average of 57 points (SD 23.78 points). There was no significant difference in TESS values considering: sex, presence of fracture, or site of the bone lesion. Conclusion: The TESS questionnaire provides information about the function and quality of life of patients with malignant tumors of the lower limbs, from the patient's perspective. The results can be considered positive, when compared to the limited life expectancy and complexity of this group of patients. Level of evidence III, Therapeutic studies, retrospective comparative study.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.889
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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)0.0070.000

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 head0.189
GPT teacher head0.311
Teacher spread0.122 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2018
Admission routes1
Has abstractyes

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