Evidence map›Paper›PMID 27296947›Full record

ArticleOncology research2016

Mitoxantrone and Etoposide for the Treatment of Acute Myeloid Leukemia Patients in First Relapse.

Annie Im, Ali Amjad, Mounzer Agha, Anastasios Raptis, Jing-Zhou Hou, Rafic Farah, Seah Lim, Alison Sehgal, Kathleen A Dorritie, Robert L Redner and 4 more

Abstract read
In one paragraph

Article in Oncology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. 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

14 authors.

Annie ImDivision of Hematology-Oncology, University of Pittsburgh Cancer Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Ali Amjad
Mounzer Agha
Anastasios Raptis
Jing-Zhou Hou
Rafic Farah
Seah Lim
Alison Sehgal
Kathleen A Dorritie
Robert L Redner
Brian McLaughlin
Yongli Shuai
Shrina Duggal
Michael Boyiadzis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relapsed acute myeloid leukemia (AML) represents a major therapeutic challenge. Achieving complete remission (CR) with salvage chemotherapy is the first goal of therapy for relapsed AML. However, there is no standard salvage chemotherapy. The current study evaluated outcomes and prognostic factors for achievement of CR in 91 AML patients in first relapse who were treated with the mitoxantrone-etoposide combination regimen. The overall response rate (CR and CRi) was 25%. Factors that were associated with a lower rate of CR included older age, shorter duration of first CR, low hemoglobin, and low platelet count. The median overall survival for all patients was 7.4 months. The survival of patients who achieved CR and underwent allogeneic hematopoietic cell transplantation (allo-HCT) was higher than those who achieved CR and did not undergo allo-HCT (35.3 months vs. 16.8 months, p = 0.057). The median duration of relapse-free survival was 12.7 months in the patients achieving CR. Older age at the time of AML relapse was associated with worse overall survival. The all-cause 4-week mortality rate was 4%, and the all-cause 8-week mortality rate was 13%. The findings of this study underscore the need for newer therapies, especially those that will improve the ability for patients with relapsed AML to achieve CR and to allow them to receive additional therapies.

Indexed as

AdultAgedAntineoplastic Combined Chemotherapy ProtocolsCytogenetic AnalysisEtoposideFemaleHumansLeukemia, Myeloid, AcuteMaleMiddle AgedMitoxantronePrognosisRecurrenceSurvival AnalysisTreatment OutcomeYoung AdultEtoposideMitoxantrone

Identifiers

PMID27296947
PMCPMC7838693

What OpenQuestion holds

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Registered trials

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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.