“No End Point Detected”: A Unique Coagulation Profile Unmasking Dysfibrinogenemia
Bibliographic record
Abstract
Dysfibrinogenemia is a rare qualitative fibrinogen disorder that can present with bleeding, thrombosis, or both. We report a case of a young woman with first‐trimester pregnancy loss and severe hemorrhage, whose coagulation tests reported “no end point detected” on PT, PTT, and Clauss fibrinogen assays. This pattern should prompt consideration of profound hypofibrinogenemia or qualitative fibrinogen defects. Fibrinogen replacement normalized PT and PTT and yielded measurable fibrinogen levels, enabling definitive diagnosis. Discordant activity and antigen levels, along with a pathogenic FGB variant, confirmed dysfibrinogenemia. This case underscores the importance of considering fibrinogen disorders in uninterpretable coagulation profiles and initiating early replacement.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".