MétaCan
Menu
Back to cohort
Record W2766774489 · doi:10.3747/co.24.3592

A Case of Metastatic Prostate Cancer and Immune Thrombocytopenia

2017· article· en· W2766774489 on OpenAlexaffvenue
Devin Betsch, Samantha Gray, Seif El Din Abo Zed

Bibliographic record

VenueCurrent Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsMedicineProstate cancerMalignancyBone marrowProstateCancerImmune thrombocytopeniaBone marrow failureImmune systemOncologyInternal medicinePathologyImmunologyPlateletHaematopoiesis

Abstract

fetched live from OpenAlex

Prostate cancer frequently metastasizes to bone, but bone marrow involvement is relatively less common. In advanced prostate cancer, significant bone marrow infiltration can result in hematologic abnormalities such as anemia and thrombocytopenia. We report the case of a patient who presented with a new diagnosis of thrombocytopenia at the same time that he presented with prostate cancer metastatic to bone. He was found to have immune thrombocytopenia (itp) which responded to treatment with steroids. We discuss this case and review the literature on itp in the setting of advanced malignancy.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.073
GPT teacher head0.413
Teacher spread0.340 · 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
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

Citations9
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCurrent OncologySame topicBlood disorders and treatmentsFrench-language works237,207