Hematopoietic stem cell transplantation: a primer for the primary care physician
Bibliographic record
Abstract
Hematopoietic stem cell transplantation has been used for many years to treat various malignant and nonmalignant hematologic conditions. However, the high-dose conditioning regimen can lead to major organ dysfunction, life-threatening infection and bleeding. In the allogeneic setting, graft-versus-host disease may also develop, making post-transplant management complex. Once a transplant recipient is discharged from hospital and returns to his or her local community, the primary care physician can play an important role in care. Recipients of stem cell transplants may be severely immunocompromised for many months after transplantation, especially if they are still taking immunosuppressive drugs. Furthermore, endocrine and metabolic deficiencies can develop, and transplant survivors are at risk of a second malignant disease. This review is intended as a basic overview of allogeneic and autologous stem cell transplantation with a special focus on long-term follow-up issues relevant to primary care providers.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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".