Evidence map›Paper›PMID 15378270›Full record

ReviewSpringer seminars in immunopathology2004

Transplantation of haploidentically mismatched stem cells for the treatment of malignant diseases.

Franco Aversa, Massimo F Martelli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Springer seminars in immunopathology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Franco AversaHematology and Clinical Immunology Section, Department of Clinical and Experimental Medicine, University of Perugia, Via Brunamonti, 06123 Perugia, Italy. aversa@unipg.it
Massimo F Martelli
University of Perugia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematopoietic stem cell transplantation (HSCT) from HLA haploidentical mismatched donors has recently been developed for patients with high-risk acute leukemia who do not have a matched donor. After a high intensity conditioning regimen the HLA barrier is overcome by infusing a graft containing a megadose of T cell-depleted progenitor cells. Nowadays, for graft processing automated peripheral blood CD34(+) cell immunoselection is time and labor saving and ensures a high CD34(+) cell recovery rate. Besides providing 4.5 log T cell depletion of the graft, it guarantees a 3.5 log B cell depletion, which helps prevent EBV-related lymphoproliferative disorders. Excellent engraftment rates are associated with a very low incidence of graft-versus-host disease and regimen-related mortality even in patients who are over 40 years old. Overall, event-free survival and transplant-related mortality compare favorably with reports from unrelated matched transplants. Donor natural killer cell alloreactivity also plays a role in improving outcome in patients with acute myeloid leukemia. These results show the haploidentical transplant to be a viable, alternative source of stem cells for adults with acute leukemia at high-risk of relapse who do not have matched donors, and encourage extending it to patients with an indication to transplant.

Indexed as

Hematopoietic Stem Cell TransplantationAcute DiseaseDisease-Free SurvivalGraft vs Host DiseaseHaplotypesHLA AntigensHumansLeukemiaLymphocyte DepletionRecurrenceT-LymphocytesTransplantation ConditioningTransplantation, HomologousHLA Antigens

Identifiers

PMID15378270
OpenAlexW2117743050

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.