Evidence map›Paper›PMID 29661208›Full record

ArticleJournal of hematology & oncology2018

Unmanipulated haploidentical in comparison with matched unrelated donor stem cell transplantation in patients 60 years and older with acute myeloid leukemia: a comparative study on behalf of the ALWP of the EBMT.

Nicole Santoro, Myriam Labopin, Federica Giannotti, Gerard Ehninger, Dietger Niederwieser, Arne Brecht, Matthias Stelljes, Nicolaus Kröger, Herman Einsele, Matthias Eder and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  5. Allogeneic Transplantation for Older Adults.Advances in experimental medicine and biology · 2025
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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

17 authors at 13 institutions in 4 countries.

Nicole SantoroDepartment of Hematology and Cell Therapy, Saint-Antoine Hospital, Paris, France. nicole.santoro24@gmail.com.ORCID 0000-0001-5705-8084
Myriam LabopinDepartment of Hematology and Cell Therapy, Saint-Antoine Hospital, Paris, France.
Federica GiannottiDepartment of Hematology and Cell Therapy, Saint-Antoine Hospital, Paris, France.
Gerard EhningerMedical Clinic and Policlinic I, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany.
Dietger NiederwieserDepartment of Hematology and Oncology, University of Leipzig, Leipzig, Germany.
Arne BrechtCenter for Blood Stem Cell and Bone Marrow Transplant, DKD Helios Clinic Wiesbaden, Wiesbaden, Germany.
Matthias StelljesDepartment of Medicine A/Hematology and Oncology, University of Muenster, Muenster, Germany.
Nicolaus KrögerDepartment of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Herman EinseleDepartment of Internal Medicine II, University Hospital Wurzburg, Würzburg, Germany.
Matthias EderDepartment of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany.
Michael HallekDepartment I of Internal Medicine and Center of Integrated Oncology Cologne-Bonn, German CLL Study Group, University Hospital of Cologne, Cologne, Germany.
Bertram GlassDepartment of Hematology and Oncology, Asklepios Klinik St. Georg Hamburg, Hamburg, Germany.
Jürgen FinkeDepartment of Medicine-Hematology, Oncology, University of Freiburg, Freiburg, Germany.
Fabio CiceriHematology and Bone Marrow Transplantation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Mohamad MohtyDepartment of Hematology and Cell Therapy, Saint-Antoine Hospital, Paris, France.
Annalisa RuggeriDepartment of Hematology and Cell Therapy, Saint-Antoine Hospital, Paris, France.
Arnon NaglerALWP office, Hôpital Saint-Antoine, Paris, France.
Sorbonne Université · FRAsklepios Klinik St. Georg · DEDeutsche Klinik für Diagnostik · DEMedizinische Hochschule Hannover · DESheba Medical Center · ILUniversität Hamburg · DEUniversitätsklinikum Würzburg · DEUniversity Hospital Carl Gustav Carus · DEUniversity Hospital Cologne · DEUniversity of Freiburg · DEUniversity of Münster · DEUniversity of Perugia · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is both more common and with more biologically aggressive phenotype in the elderly. Allogenic stem cell transplantation (allo-SCT) is the best treatment option in fit patients. Either HLA-matched unrelated donor (MUD) or haploidentical (Haplo) donor are possible alternative for patients in need.

methodsWe retrospectively compared non-T-cell-depleted Haplo (n = 250) to 10/10 MUD (n = 2589) in AML patients ≥ 60 years.

resultsMedian follow-up was 23 months. Disease status at transplant differs significantly between the two groups (p < 10

conclusionsAllo-SCT from both Haplo and MUD are valid option for AML patients ≥ 60 years of age with similar results. Transplantation from MUD was associated with higher extensive cGVHD. Our findings suggest that Haplo is a suitable and attractive graft source for patients≥ 60 with AML in need of allo-SCT.

Indexed as

AgedAged, 80 and overFemaleHematopoietic Stem Cell TransplantationHumansLeukemia, Myeloid, AcuteMaleRetrospective StudiesTransplantation ConditioningUnrelated DonorsAcute myeloid leukemiaAllogeneic stem cell transplantationElderlyHaploidenticalMUD

Identifiers

PMID29661208
PMCPMC5902953
OpenAlexW2802852182

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.