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Record W2042698015 · doi:10.1002/pbc.22136

The role of interferons in the treatment of osteosarcoma

2009· review· en· W2042698015 on OpenAlexaff
Jeremy Whelan, Daniel Patterson, Martha Perisoglou, Stefan Bielack, Neyssa Marina, Sigbjørn Smeland, Mark L. Bernstein

Bibliographic record

VenuePediatric Blood & Cancer · 2009
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsDalhousie University
FundersUniversity College London Hospitals NHS Foundation TrustNational Institute for Health and Care Research
KeywordsOsteosarcomaMedicineAdjuvantClinical trialInterferonBlood cancerOncologyCancerInternal medicineDiseaseImmunologyCancer research

Abstract

fetched live from OpenAlex

Interferons, a group of cytokines with antiangiogenic, direct antitumour and immunostimulating properties, have shown significant activity against osteosarcoma in vitro and in xenograft models. They have also been used in osteosarcoma clinical trials as a single adjuvant to surgery, with an apparent increase in relapse-free survival. In the ongoing EURAMOS 1 clinical trial, interferon alpha-2b is evaluated as an adjuvant treatment in osteosarcoma. This article reviews the rationale for the use of interferon in cancer with special reference to the treatment of osteosarcoma, including all published data of clinical efficacy in this disease.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.033
GPT teacher head0.341
Teacher spread0.308 · 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 designOther design
Domainnot available
GenreReview

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

Citations65
Published2009
Admission routes1
Has abstractyes

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