Bibliographic record
Abstract
Abstract Haematopoietic cell transplantation encompasses infusion of progenitor cells (stem cells) into patients with haematological and other diseases. These cells can be obtained from the patients themselves (autologous) or from somebody else (allogeneic). The source of the cells can be bone marrow or peripheral or cord blood. Autologous transplantation can be used as consolidation for diseases like lymphoma and myeloma. Allogeneic transplantation can be potentially curable in certain diseases like bone marrow failure syndromes, leukaemias and myelodysplastic syndrome. There are several types of donors available including sibling, unrelated (adult or cord blood) and haploidentical. Chemotherapy ± radiation is given before infusion of these cells. In addition, there are risks of acute and chronic graft‐versus‐host disease as well as infections. Ongoing studies seek to improve the outcomes of these transplantations. Key Concepts: Haematopoietic cell transplantation is a process which includes treatment of a patient with chemotherapy ± radiation after which the patient receives infusion of stem cells. Autologous transplantation implies receiving patients' own stem cells. Allogeneic transplantation implies receiving stem cells from another person (donor). Donor options include sibling, related or unrelated adult and umbilical cord blood. Haematopoietic cell transplantation can be performed for malignant and nonmalignant haematological disease. Stem cells can be obtained from peripheral blood after mobilisation or from bone marrow. Acute and chronic graft‐versus‐host disease are common complications, which are the process of graft recognising patient (recipient) as foreign and hence initiating an immune response against them. Acute and chronic graft‐versus‐host disease are treated with immune‐suppressive agents, which can cause problems with infections. Long‐term survivors should be monitored closely for long‐term complications.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".