Benefit of determining [-2]proPSA levels in the differential diagnosis of prostate cancer
Bibliographic record
Abstract
Cl:Clem studie je zjistit, zda stanoven [-2]proPSA a vpoet Prostate Health Indexu (PHI) zlep celkovou senzitivitu a specificitu v porovnn s tradin pouvanmi markery (PSA a freePSA) a navrhnout optimln cut-off pro PHI v diferenciln diagnostickm postupu asn detekce karcinomu prostaty (KP).Metodika:U 76 pacient s podezenm na KP a indikovanch k biopsii prostaty byla stanovena hladina celkovho PSA, freePSA, [-2]proPSA, vypotn pomr %freePSA a Prostate Health Index (PHI). Biomarkery se stanovovaly chemiluminiscenn metodou na pstroji Dxl 800 (Beckman Coulter, USA). Statistick vyhodnocen bylo provedeno za vyuit software SAS verze 9.2.Vsledky:Zjistili jsme statisticky vznamn lep hodnoty plochy pod ROC kivkou (AUC) jak pro samotn [-2]proPSA (0,77), tak pedevm pro PHI (0,88) v porovnn s tPSA (0,59) a %freePSA (0,61). dn z nemocnch v naem souboru s biopticky ovenm KP neml PHI ni ne 40.Zvr:Stanoven [-2]proPSA a z nj odvozen hodnota PHI vznamn pispv k zpesnn diferenciln diagnostickho procesu mezi BPH a karcinomem prostaty. Cut-off pro PHI > 40 se edou znou 30-40 je podle naich dosavadnch zkuenost optimln pro vyuit v rutinn praxi pro asnou detekci KP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".