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Record W2586484517 · doi:10.21037/apm.2017.01.05

Clinical presentations of below knee bone metastases: a case series

2017· article· en· W2586484517 on OpenAlexaff
Matthew Choi, Linda Probyn, Leigha Rowbottom, Rachel McDonald, Adam Bobrowski, Stephanie Chan, Pearl Zaki, Angela Turner, Edward Chow

Bibliographic record

VenueAnnals of Palliative Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineRadiation therapySurgeryMalignancyOrthopedic surgeryFibulaPresentation (obstetrics)ComplicationTibiaChemotherapyInternal medicine

Abstract

fetched live from OpenAlex

Bone metastases are a common complication of advanced malignancy; however, presentation of below-the-knee metastases, particularly affecting the fibula and tibia, are infrequently observed in both the clinical setting and the literature, and present a therapeutic challenge to patients and physicians alike. Due to the weight-bearing capacity of bones below-the-knee, the disruption of the structural and functional integrity of these bones can reduce mobility and thus quality of life. Treatment options for these patients include surgery, radiotherapy, and/or chemotherapy. Candidates for surgery typically have affected weightbearing bones. For patients not suitable for surgery, radiotherapy is prescribed for pain relief and bone remineralization. Herein, we report four cases in which two female and two male patients developed painful below knee metastases. Orthopedic surgery was consulted for all cases. Two patients underwent surgical fixation followed by radiotherapy, while the other two received palliative radiotherapy alone.

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)0.002
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 score0.045
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.258
GPT teacher head0.511
Teacher spread0.253 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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