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Record W2036796464 · doi:10.3747/co.v15i2.162

Dose-Intensive Chemotherapy with Growth Factor or Autologous Bone Marrow or Stem-Cell Transplant Support in First-Line Treatment of Advanced or Metastatic Adult Soft Tissue Sarcoma: A Clinical Practice Guideline

2008· article· en· W2036796464 on OpenAlexaffvenueabout
Savita Verma, Jawaid Younus, Adam E. Haynes, Denise Stys‐Norman, Martin E. Blackstein

Bibliographic record

VenueCurrent Oncology · 2008
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsMcMaster UniversityMount Sinai HospitalCancer Care OntarioOttawa Regional Cancer FoundationOttawa Hospital
Fundersnot available
KeywordsMedicineGuidelineSarcomaSoft tissue sarcomaChemotherapyOncologyTransplantationSurgeryIntensive care medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

QUESTIONS: In patients with inoperable locally advanced or metastatic soft tissue sarcoma, does first-line dose-intensive chemotherapy supported by growth factor or autologous bone marrow or stem-cell transplantation improve response rate, time to disease progression, or survival as compared with standard-dose chemotherapy? What are the effects of first-line dose-intensive chemotherapy supported by growth factor or autologous bone marrow or stem-cell transplantation on toxicity and quality of life? PERSPECTIVES: Because therapeutic options for adult patients with advanced or metastatic soft tissue sarcoma are scarce and the possibility of cure for these patients is extremely limited, the Sarcoma Disease Site Group (dsg) felt that a review of the available literature on dose-intensive chemotherapy for adult patients with locally advanced or metastatic soft tissue sarcoma and subsequent development of a clinical practice guideline based on the evidence were important. METHODOLOGY: A systematic review was developed and clinical recommendations relevant to patients in Ontario were drafted. The practice guideline report was reviewed and approved by the Sarcoma dsg, which comprises medical oncologists, radiation oncologists, surgeons, a pathologist, a methodologist, and community representatives. External review by Ontario practitioners was obtained through a mailed survey, the results of which were incorporated into the practice guideline. Final review and approval of the practice guideline was obtained from the Report Approval Panel. PRACTICE GUIDELINE: Based on the systematic review, consensus, and external review, the Sarcoma dsg makes these recommendations: Dose-intensive chemotherapy with growth factor support is not recommended in the first-line treatment of patients with inoperable locally advanced or metastatic soft tissue sarcoma. The data are insufficient to support the use of high-dose chemotherapy with autologous bone marrow or stem-cell transplantation as first-line treatment in this group of patients. Eligible patients should be encouraged to enter clinical trials assessing novel approaches or compounds. QUALIFYING STATEMENTS: High-dose chemotherapy with growth factor or autologous bone marrow or stem-cell transplantation has adverse effects similar to those seen with standard-dose chemotherapy. With high-dose regimens, the incidence of grades 3 and 4 thrombocytopenia is significantly higher, and neutropenic fever and febrile neutropenia occur more frequently. Compared with standard treatment, the rate of treatment-related death is also higher with high-dose regimens.

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)0.025
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.063
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0050.007
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0070.002
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.121
GPT teacher head0.430
Teacher spread0.309 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations12
Published2008
Admission routes3
Has abstractyes

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