Cytomegalovirus (CMV) Virus Load Kinetics to Predict Recurrent Disease in Solid‐Organ Transplant Patients with CMV Disease
Bibliographic record
Abstract
Despite standard therapy, cytomegalovirus (CMV) disease recurs in a significant proportion of organ transplant recipients. The kinetics of CMV load in response to therapy may allow early prediction of recurrence. CMV loads were obtained at regular intervals after starting ganciclovir therapy in 52 transplant recipients with CMV disease. Virus load kinetics were analyzed using decay curves to assess viral dynamics, including half-life and time to viral clearance. Recurrent CMV disease occurred in 12 (23%) of 50 patients. The time period to viral clearance was longer among patients with recurrence of CMV disease (P=.002), and lack of clearance was also associated among patients with disease recurrence (P<.001). Viral kinetics followed a logarithmic decay curve expressed by the equation y=y(0)e(-ax). Virus load half-life was 8.8 days among patients with recurrence versus 3.17 days among patients without recurrence (P=.001). This was not explainable by detectable ganciclovir resistance. CMV load kinetics are useful for identifying, at a very early stage, patients who are more likely to have recurrence.
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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 | 0.001 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".