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Record W2018905693 · doi:10.1177/1043454205279300

Treatment Approaches for Metastatic Ewing’s Sarcoma: A Review of the Literature

2005· review· en· W2018905693 on OpenAlexaff
Eleanor Hendershot

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2005
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineDiseaseNatural historyIntensive care medicineSarcomaCancerOncologyInternal medicinePathology

Abstract

fetched live from OpenAlex

The Ewing's sarcoma family of tumors (ESFT) is an aggressive group of neoplasms that represent approximately 3% of all pediatric malignancies. The overall survival rates in patients with localized disease are approaching 75%. The outcome for the 25% of patients who present with metastatic disease, however, remains poor, with long-term survival rates of less than 30%. This review will explore the natural history of ESFT including clinical presentation, molecular pathology, and high-risk features of the disease. Outcomes of metastatic treatment protocols to date will be examined as well as the rationale for current and future therapies. Nursing considerations in caring for patients with metastatic ESFT will be discussed. A case scenario will be reviewed to highlight treatment and supportive care issues in the management of the disease. Cancer therapy in general is becoming more complex; treatment approaches involve different ways of targeting tumor cells. It is crucial that nurses caring for these patients understand the rationale behind treatment strategies so that appropriate patient education and support may be given.

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)0.000
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 score0.943
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.153
GPT teacher head0.430
Teacher spread0.277 · 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

Citations10
Published2005
Admission routes1
Has abstractyes

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