Association Between Cytomegalovirus Viremia Clearance and Post-Solid Organ Transplant Mortality in Patients With Refractory Cytomegalovirus Infection: SOLSTICE Post Hoc Analysis
Bibliographic record
Abstract
Cytomegalovirus (CMV) infection following solid organ transplant (SOT) is associated with increased mortality risk. In the phase 3 SOLSTICE study (NCT02931539), more transplant recipients achieved CMV clearance after 8 weeks with maribavir than investigator-assigned therapy (IAT). In SOLSTICE, SOT recipients with refractory CMV infection were randomized 2:1 to receive maribavir or IAT for 8 weeks. This post hoc analysis assessed the impact of CMV clearance at Week 8 on mortality at Week 20. Patients who achieved CMV clearance at Week 8 were categorized as responders, and patients without CMV clearance, or who received maribavir rescue or alternative treatment, were categorized as nonresponders. All-cause mortality was assessed at Week 20 for responders and nonresponders using the Kaplan-Meier method with log-rank test. The analysis included 211 SOT recipients: 97 responders and 114 nonresponders. Week 20 all-cause mortality was significantly higher in nonresponders than responders (p = 0.0024). No deaths were reported in the responder group, and 10 deaths were reported in the nonresponder group (3 receiving IAT, 7 receiving maribavir). Median (range) time from treatment start to death was 30.5 (3–123) days. This analysis is consistent with other studies showing an increased risk of mortality with post-SOT CMV infection.
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.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".