Evidence map›Paper›PMID 28802907›Full record

ReviewBlood reviews2017

The who, how and why: Allogeneic transplant for acute myeloid leukemia in patients older than 60years.

Sarah A Wall, Steven Devine, Sumithira Vasu

Abstract readReview
In one paragraph

Review in Blood reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
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  6. Health professionals' perceptions of prehabilitation before haematopoietic cell transplantation to optimise candidacy in older adults.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  13. Review
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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

3 authors.

Sarah A WallDivision of Hematology, Ohio State University, Columbus, OH, USA.
Steven DevineDivision of Hematology, Ohio State University, Columbus, OH, USA.
Sumithira VasuDivision of Hematology, Ohio State University, Columbus, OH, USA. Electronic address: Sumithira.vasu@osumc.edu.

Funding

Training Hematology and Oncology Fellows in Clinical ResearchT32CA165998 · NCI · OHIO STATE UNIVERSITY · PI CLINTON, STEVEN K, GARZON, RAMIRO · 2012 to 2016
$944k
NCI NIH HHS T32 CA165998
6 · The paper itself

Abstract

Acute myelogenous leukemia (AML) is primarily a disease of the elderly, and as such, our approach to treatment needs to be tailored to address an aging population. Allogeneic hematopoietic stem cell transplantation (allo-HSCT) remains the only potentially curative treatment for intermediate and high risk AML, and until recently, its use had been limited to a younger population and dependent on availability of a donor. Advances in conditioning regimens, supportive care, and the use of alternative donor sources have greatly expanded access to this therapy. In this review, we summarize the challenges and unique biological aspects of treatment with allogeneic stem cell transplantation in this group of patients older than 60years. We also highlight areas of ongoing research including measurement of residual disease prior to and following transplant, post-remission maintenance therapy, and natural killer cell immunotherapy. Finally, we propose future directions for AML treatment in an elderly and aging population.

Indexed as

AgedAged, 80 and overAge FactorsHematopoietic Stem Cell TransplantationHumansImmunotherapyLeukemia, Myeloid, AcuteMiddle AgedRandomized Controlled Trials as TopicSecondary PreventionTransplantation, HomologousAcute myelogenous leukemia (AML)Allogeneic hematopoietic stem cell transplantation (allo-HSCT)ElderlyImmunotherapy

Identifiers

PMID28802907
PMCPMC6205157

What OpenQuestion holds

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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.