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Alfa-feto protein (AFP) as a predictor of outcome for children with germ cell tumors: A report from the malignant germ cell international consortium.

2019· article· en· W2947404224 on OpenAlexaff
Allison F. O’Neill, Caihong Xia, Mark Krailo, Furqan Shaikh, Farzana Pashankar, Deborah F. Billmire, Thomas A. Olson, James F. Amatruda, Doojduen Villaluna, Marcio H. Malogolowkin, Carlos Rodríguez‐Galindo, A. Lindsay Frazier

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineGerm cell tumorsChemotherapyInternal medicineConfidence intervalOncology

Abstract

fetched live from OpenAlex

10036 Background: There are several studies describing the correlation between unsatisfactory tumor marker decline and poor prognosis in adult patients treated for germ cell tumors. In pediatric patients the data is limited. We therefore retrospectively analyzed data collected from pediatric patients treated on the Children’s Oncology Group (COG) Protocol AGCT0132 to determine whether a relationship exists between AFP decline and outcome. Methods: One hundred and thirty-one patients with germ cell tumors enrolled on Children’s Oncology Group Protocol AGCT0132 were eligible for analysis of AFP decline. Serum AFP half-life was calculated from levels collected post-operatively and after the start of chemotherapy, excluding values in the first 7 days of chemotherapy to accommodate unpredictable increases in the initial days of treatment. AFP decline was defined as automatically satisfactory (AFP normalized within the first two AFP measures following the start of chemotherapy), calculated satisfactory (AFP half-life ≤7 days following the start of chemotherapy), and unsatisfactory. Results: The 3-year event-free survival (EFS) was 87 % (95% confidence interval-CI: 79-92 %) for patients with a satisfactory decline and 62 % (95% CI: 31-82 %) for patients with an unsatisfactory decline (p = 0.006). In stratified analyses, this effect was limited to patients ≥11 years of age and with standard risk (SR2) disease ((p = 0.002 and p = 0.004, respectively). Three-year overall survival for patients with satisfactory versus unsatisfactory decline was not statistically significant. Conclusions: This study is the first to show an association between AFP decline and EFS in pediatric patients. Although there is no statistically significant association between tumor marker decline and overall survival, recognition of patients at high-risk of relapse may allow for early intensification of therapy and impact the rationale for future clinical trial design.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.048
GPT teacher head0.403
Teacher spread0.355 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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