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Favourable Impact on Acute and Chronic Graft-Versus-Host Disease with Cyclophosphamide and In-Vivo Anti-CD52 Monoclonal Antibodies for Marrow Transplantation from HLA-Identical Sibling Donors for Acquired Aplastic Anaemia.

2004· article· en· W2563836428 on OpenAlexaff
Vikas A. Gupta, Sarah E. Ball, Qilong Yi, Deborah Sage, Shaun R. McCann, Mark Lawler, Miguel Ortín, G Hale, Herman Waldmann, E. C. Gordon‐Smith, Judith Marsh

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsCD52AlemtuzumabMedicineImmunologyAplastic anemiaCyclophosphamideBone marrowGraft-versus-host diseaseTransplantationAntibodyInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

Abstract Despite excellent long-term results of bone marrow transplantation (BMT) in acquired severe aplastic anemia (SAA), graft-versus-host disease (GVHD) continues to remain a major concern. Approximately 30–40% patients experience chronic GVHD resulting in long-term complications and impaired quality of life. At St. George’s Hospital, we investigated the role of anti-CD52 monoclonal antibodies (MoAb) in transplant protocols for SAA. The CD52 antigen is expressed widely on virtually all lymphocytes including T and B-cells, NK cells, dendritic cells, eosinophils and macrophages but is absent from erythrocytes, platelets and marrow progenitors. Between Aug 1989 and Nov 2003, 33 patients at our centre with acquired SAA underwent BMT from HLA-identical sibling donors using cyclophosphamide (CY) 50 mg/kg x 4 (days −5 to −2) and anti-CD52 MoAb 0.75–1 mg/KgBW as conditioning. Prior to 1999, rat derived anti-CD52 MoAb (Campath-1G) was used. We switched to humanized version of anti-CD52 MoAb (Alemtuzumab) when it became available in 1999. Median age at BMT was 17 yrs (range 4–46). Prior to BMT, 58% were heavily transfused (>50 transfusions) and 42% had previously failed anti-thymocyte globulin (ATG) based immunosuppressive therapy. Unmanipulated bone marrow was used as source of stem cells in all except one. GVHD prophylaxis was with cyclosporine (CSA) alone in 19 (58%) patients; 14 received anti-CD52 MoAb in addition to CSA. The conditioning regimen was well tolerated without significant acute toxicity. Graft failure was seen in 8 (24%) patients (primary,4; secondary, 4). Graft failure was non-significantly higher in heavily transfused patients and those receiving CSA and anti-CD52 MoAb as GVHD prophylaxis. Of those failing grafts, 4 survived long-term (complete autologous recovery, 2; autotransplant from previous stored marrow, 1; second allograft, 1). Acute grade II-IV GVHD and chronic GVHD was seen in 13% and 4%, respectively. None developed extensive chronic GVHD. Of the 19 recipients positive for cytomegalovirus (CMV), reactivation was seen in 5(26%) with in 100 days. No cases of late CMV reactivation were observed. Six patients died of complications related to BMT at a median of 248 days (range 47–414). With a median follow-up of 59 months, the 5-year survival was 81% (95% C.I. 68–96). There was a non-significant trend towards improved survival in patients transplanted after 1995 (93% vs. 74%). The performance status of all survivors is 100% except one who developed avascular necrosis of hip. We conclude that the conditioning regimen containing CY and anti-CD52 MoAb is well tolerated and efficacious for acquired SAA using HLA-matched sibling donors. The long-term survival with this conditioning appears to be equivalent to current standard conditioning for acquired AA (CY and ATG) and the impact on acute and chronic GVHD is particularly notable. Based on the results of our study we are further investigating the role of Alemtuzumab in the transplant protocols for AA using CSA alone as GVHD prophylaxis.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.012
GPT teacher head0.271
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

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