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Presence of Well-Differentiated Rhabdomyoblasts at the End of Therapy for Pelvic Rhabdomyosarcoma: Implications for the Outcome

2000· article· en· W2322715010 on OpenAlexaff
Jorge A. Ortega, Jon Rowland, Hector Monforte, Marcio H. Malogolowkin, Timothy J. Triche

Bibliographic record

Venue˜The œAmerican journal of pediatric hematology/oncology · 2000
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsCegep de Sept Iles
FundersNational Cancer Institute
KeywordsRhabdomyosarcomaMedicineBiopsyProgressive diseaseDiseaseSarcomaInternal medicinePathology

Abstract

fetched live from OpenAlex

The presence of well-differentiated rhabdomyoblasts at the end of therapy for rhabdomyosarcoma has been noted. This study was undertaken to investigate the therapeutic implications of the presence of well-differentiated rhabdomyoblasts at the end of therapy for pelvic rhabdomyosarcoma. Six patients with pelvic rhabdomyosarcoma (bladder-prostate, 4; vulvovaginal, 2) with disease diagnosed between the years 1974 and 1992 were sequentially investigated by cystoscopic or vaginoscopic examination and biopsy during and after completing therapy. All six patients received treatment according to prevailing therapeutic protocols. Biopsy material from all six patients at the end of therapy documented the presence of well-differentiated rhabdomyoblasts. Repeated biopsies demonstrated the presence of rhabdomyoblasts; however, they appeared to decrease in number with time. Mitotic activity was not observed in the biopsy materials obtained. All six patients are alive without evidence of disease from 37 to 233 months after therapy ended. The presence of well-differentiated rhabdomyoblasts at the end of therapy for pelvic rhabdomyosarcoma is a common finding. The biologic nature of these well-differentiated rhabdomyoblasts is not completely known, but they do not appear to connote the persistent presence of malignant disease and are not an indication for the continuation of therapy.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.346
Teacher spread0.314 · 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

Citations44
Published2000
Admission routes1
Has abstractyes

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Same venue˜The œAmerican journal of pediatric hematology/oncologySame topicSarcoma Diagnosis and TreatmentFrench-language works237,207