Evidence map›Paper›PMID 22949046›Full record

ReviewNature reviews. Clinical oncology2012

The European LeukemiaNet AML Working Party consensus statement on allogeneic HSCT for patients with AML in remission: an integrated-risk adapted approach.

Jan J Cornelissen, Alois Gratwohl, Richard F Schlenk, Jorge Sierra, Martin Bornhäuser, Gunnar Juliusson, Zdenek Råcil, Jacob M Rowe, Nigel Russell, Mohamad Mohty and 4 more

Abstract readReviewConsensus Statement
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 184 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
184citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

184 citing papers in PubMed, 1 synthesis or guideline pooled it.

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124 more citing papers are in PubMed but not listed here.

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

14 authors.

Jan J CornelissenDepartment of Hematology, Erasmus University Medical Center, Groene Hilledijk 301, 3075 EA, Rotterdam, The Netherlands. j.cornelissen@erasmusmc.nl
Alois Gratwohl
Richard F Schlenk
Jorge Sierra
Martin Bornhäuser
Gunnar Juliusson
Zdenek Råcil
Jacob M Rowe
Nigel Russell
Mohamad Mohty
Bob Löwenberg
Gerard Socié
Dietger Niederwieser
Gert J Ossenkoppele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic haematopoietic stem-cell transplantation (HSCT) is frequently applied as part of the treatment in patients with acute myeloid leukaemia (AML) in their first or subsequent remission. Allogeneic HSCT reduces relapse, but nonrelapse mortality and morbidity might counterbalance this beneficial effect. Here, we review recent studies reporting new disease-specific prognostic markers, in addition to allogeneic-HSCT-related risk factors, which can be assessed at specific time points during treatment. We propose risk assessment as a dynamic process during treatment, incorporating both disease-related and transplant-related factors for the decision to proceed either to allogeneic HSCT or to apply a nontransplant strategy. We suggest that allogeneic HSCT might be favoured if the projected disease-free survival is expected to improve by at least 10% based on an individual's risk assessment. The approach requires initial disease risk assessment, identifying a sibling or unrelated donor soon after diagnosis and the incorporation of time-dependent risk factors, all within the context of an integrated therapeutic management approach.

Indexed as

ConsensusDisease ManagementHematopoietic Stem Cell TransplantationHumansLeukemia, Myeloid, AcutePrognosisRemission InductionRisk Assessment

Identifiers

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.