Trastornos linfoproliferativos en una cohorte de pacientes adultos con trasplante hepático atendidos en un hospital de referencia en Bogotá, Colombia
Bibliographic record
Abstract
Introduction: The post-transplant lymphoproliferative disorders (PTLD) are characterized by an uncontrolled pathological lymphoid proliferation as a consequence of transplant immunosuppression therapy. Objective: To characterize the clinical and pathological characteristics of PTLD in a cohort of adult patients with liver transplant during a 15 year period at the Hospital Universitario Fundación Santa Fe de Bogota. Materials and methods: We conducted an observational retrospective study by searching for the PTLD cases diagnosed during the study period in the databases of the Liver Transplantation Unit and the Pathology Department. We collected the epidemiological, clinical, and pathological information and performed the corresponding statistics analyses. Results: During the research period, 572 patients were transplanted; the incidence of PTDL was 2.44%; 79% of them were man and the average age at the time of diagnosis was 62.5 years; 71% of the cases were diagnosed during the first year after the transplant and the same percentage EBV-seropositive patients. The most frequent pathological phenotype was monomorphic and the majority of tumors was detected in the hepatic hilum. The one-year survival was 50%. Conclusion: The high proportion of early cases and the high frequency of Epstein-Barr virus seropositivity both in donors and receptors drewour attention. More studies are necessary to have a better understanding of this condition in Colombia. This is the first PTLD clinical and pathological analysis in liver-transplant patients from Colombia to date.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".