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Record W2014001863 · doi:10.1097/mph.0b013e3181e5e25b

Successful Treatment of Late, Recurrent Wilms Tumor With High-dose Chemotherapy and Autologous Stem Cell Rescue in Third Complete Response

2010· article· en· W2014001863 on OpenAlexaff
Evangeline Brown, André Hebra, Joseph M. Jenrette, Michelle Hudspeth

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineWilms' tumorChemotherapyStem cellSurgeryComplete responseDiseaseOncologyInternal medicine

Abstract

fetched live from OpenAlex

SUMMARY: Wilms tumor relapses are infrequent, occurring in approximately 15% of favorable histology patients. Very few cases of late recurrent relapse exist in the literature. Long-term survival after autologous stem cell rescue ranges from 40% to 73%, but there are very few reports of patients transplanted in their third complete response. We report a late recurrent relapse of Wilms tumor successfully treated with high-dose chemotherapy and autologous stem cell rescue in his third complete response who remains disease free 15 months posttransplant.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.008
GPT teacher head0.255
Teacher spread0.248 · 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 designCase report
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

Citations18
Published2010
Admission routes1
Has abstractyes

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