DETECTION OF Y-CHROMOSOME MARKER IN PLASMA OF PREGNANT WOMEN USING REAL TIME PCR: DIAGNOSTIC ACCURACY DEPENDING ON GESTATION AGE
Bibliographic record
Abstract
The evaluation of the clinical significance of the test for the detection of the Y-chromosome marker in the plasma of a pregnant woman at different stages of pregnancy by real-time PCR was carried out. The blood samples of 4616 women at 4 to 32 gestation weeks were studied. Identification of the Y-chromosome marker was carried out based on the amplification of a region of the TSPY gene. The Y-chromosome marker was unambiguously identified in 2131 samples, which accounted for 46.2% of the total number of analyzed samples. In 233 samples (5%), the Y-chromosome marker was detected with reduced reliability, and in 15 samples (0.3%), an unambiguous conclusion about the presence or absence of Y-specific DNA in plasma could not be made during the initial study. The diagnostic accuracy of the Y-chromosome marker determination in the plasma of a pregnant woman at the 4-6th gestation week was 95.5%, and from the 7th week and at later stages of pregnancy it reached 97.3-98.2%. Testing from the 7th gestation week may be recommended for reliable prenatal sex determination of the fetus by real-time PCR analysis of extracellular circulating fetal DNA.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".