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Record W2351495643

Quality of life in surgical treatment of spinal metastases

2011· article· en· W2351495643 on OpenAlexaboutno aff
Jiang Yan

Bibliographic record

VenueThe Journal of Spinal Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)NauseaSurgeryKarnofsky Performance StatusDepression (economics)DecompressionSurgical decompressionOverall survival
DOInot available

Abstract

fetched live from OpenAlex

Objective To evaluate the efficacy of surgery in patients with spinal metastases with respect to quality of life and oncology prognosis.Methods From March 2004 to January 2009,36 consecutive patients underwent anterior or posterior decompression and internal fixation for spinal metastases were evaluated.Pre-and postoperative quality of life of the patients were evaluated with the Edmonton symptom assessment scale(ESAS).Results All patients survived 6-36 months until the final follow-up(July 2009),the average survival time was 15.2 months with 8 patients still alive at the final follow-up.The neurological function was obviously improved in 68% cases.After surgery,the total score of the ESAS significantly improved in 30 successfully evaluated patients,and the largest improvement was noted in the domain of pain.There were also significant improvements noted in the domains of well-being,tiredness,appetite,anxiety,nausea and drowsiness.But no obvious changes in terms of depression and shortness of breath.Conclusion For patients with solitary spinal metastasis,low-malignant primary tumor and the Tokuhashi revised score of 12-15 points,surgical management brings about a positive effect on the overall quality of life,and the greatest benefit occurrs in the pain reduction.

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)0.003
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 score0.216
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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)0.0010.000

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 head0.182
GPT teacher head0.366
Teacher spread0.184 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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