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Record W2945556982 · doi:10.1136/bcr-2018-228857

Bilateral liver metastases from testicular sex cord-stromal tumour

2019· article· en· W2945556982 on OpenAlexaff
Vincent Palmieri, Husain Almahmeed, Peter Metrakos

Bibliographic record

VenueBMJ Case Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsRoyal Victoria HospitalMcGill University
Fundersnot available
KeywordsMedicineOrchiectomyDissection (medical)RadiologySurgerySeminomaLymph nodeStromal cellSpermatic cordPathologyChemotherapy

Abstract

fetched live from OpenAlex

A 28-year-old man previously diagnosed and treated for testicular sex cord-stromal tumour (TSCST) presented with symptoms of fever, night sweats and fatigue. Following initial investigations for an infectious aetiology, imaging studies detected two large liver lesions. Histopathological assessment of the tumours revealed that they were metastases from the TSCST for which the patient had radical inguinal orchiectomy and retroperitoneal lymph node dissection 5 years prior. The curative-intent management of the bilobar liver metastases necessitated staged resection due to the chemoresistant and radioresistant properties of TSCST. The size of the lesions was such that procedures to induce rapid liver hypertrophy were required between surgeries. Both liver metastases were successfully removed following this approach. The patient remains recurrence-free 1 year after surgery and has maintained predisease levels of performance. Nevertheless, he continues to be followed for routine CT scans at regular intervals.

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)0.001
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.295
Teacher spread0.275 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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