miRNAs for testicular germ cell tumours: Contemporary indications for diagnosis, surveillance and follow‐up
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it