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Record W3149686168 · doi:10.1002/pbc.29307

Vertebroplasty as a palliative treatment option for intractable pain in pediatric patients with spinal tumors

2021· article· en· W3149686168 on OpenAlexaff
Leandro Cardarelli‐Leite, Shahrad R. Rassekh, Robert D’Ortenzio, Manraj K.S. Heran

Bibliographic record

VenuePediatric Blood & Cancer · 2021
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsUniversity of British ColumbiaWestern University
Fundersnot available
KeywordsMedicineRadiation therapyRefractory (planetary science)Quality of life (healthcare)Palliative careSurgeryDiseaseIntractable painInternal medicine

Abstract

fetched live from OpenAlex

Primary and secondary malignant tumors of the spine are relatively uncommon in the pediatric population but are associated with high morbidity and significantly decreased quality of life due to pain. Local management of these tumors is often challenging due to the importance of maintaining vertebral mechanical integrity as well as the spinal growth potential. Typically, surgery and/or radiation therapy have been used in the primary management of these tumors. However, treatment options become more limited when there is relapse or refractory disease, with re-resection or additional radiotherapy often not being viable therapies. Vertebroplasty is a currently underutilized modality that might provide significant pain palliation in cases of relapsed cancer in the spine.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.279
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2021
Admission routes1
Has abstractyes

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