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Record W4308954628 · doi:10.1111/andr.13337

miRNAs for testicular germ cell tumours: Contemporary indications for diagnosis, surveillance and follow‐up

2022· review· en· W4308954628 on OpenAlex
Julián Chavarriaga, Robert J. Hamilton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAndrology · 2022
Typereview
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBiomarkerMedicineDiseaseHuman chorionic gonadotropinTesticular cancerGerm cellMultidisciplinary approachGerm cell tumorsmicroRNAIntensive care medicineBioinformaticsPathologyInternal medicineCancerBiologyHormoneGenetics

Abstract

fetched live from OpenAlex

Despite excellent outcomes with modern multidisciplinary care, clinicians caring for patients with testicular germ cell tumour (TGCTs) face clinical dilemmas across the spectrum of disease. Wrong treatment choices can lead to undertreatment or overtreatment of these young men. Unfortunately the currently available biomarkers alpha-fetoprotein and human chorionic gonadotropin, lack sufficient sensitivity and specificity to reliably aid in these clinical dilemmas. Thus, a sensitive and specific biomarker is desperately needed. Serum or plasma miRNA, in particular, miR-371a-3p, has shown great promise in discriminating the presence of TGCT and may represent a breakthrough for this disease. In this review, we discuss the potential role of miRNA across clinical states of TGCTs. We review their discovery, methods of assay, limitations and future potential.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.084
GPT teacher head0.358
Teacher spread0.274 · 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