Long‐term survival of head and neck squamous cell carcinoma after bone marrow transplant
Bibliographic record
Abstract
PURPOSE: The risk of developing head and neck squamous cell carcinoma (HNSCC) in patients with graft versus host disease (GVHD) after bone marrow transplant (BMT) is well established but large series reporting outcomes are sparse. METHODS: Retrospective, single institution, study of patients with GVHD and HNSCC after BMT, between January 1, 1968, and June 30, 2016. RESULTS: In total, 25 patients were studied, of which 21 (84%) were male and 4 (16%) were female. Mean age for BMT was 41 (18-65) years. All patients developed GVHD, most common site was oral cavity (19 patients, 76%). Mean age for diagnosis of HNSCC was 52 (28-76) years. Mean time between BMT and diagnosis of HNSCC was 12 (2-13) years. The 2-year progression-free survival (PFS) was 61.4%, 5-year PFS was 56.7%. The 2-year overall survival (OS) was 82.8%, 5-year OS was 68.7%. CONCLUSION: HNSCC can develop many years after BMT in patients without the classic risk factors for head and neck cancer. The majority were seen with oral cancer and with early-stage disease likely due to active surveillance and early detection in this patient population.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".