Evidence map›Paper›PMID 34132501›Full record

ArticleCancer medicine2021

Personalized prediction of overall survival in patients with AML in non-complete remission undergoing allo-HCT.

Shigeki Hirabayashi, Ryuji Uozumi, Tadakazu Kondo, Yasuyuki Arai, Takahito Kawata, Naoyuki Uchida, Atsushi Marumo, Kazuhiro Ikegame, Takahiro Fukuda, Tetsuya Eto and 9 more

Open access · goldAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Bone Marrow Microenvironment Mechanisms in Acute Myeloid Leukemia.Frontiers in cell and developmental biology · 2021
    Review
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

19 authors at 12 institutions in 1 country.

Shigeki HirabayashiDepartment of Hematology and Oncology, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0002-6684-9432
Ryuji UozumiDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0002-9546-9869
Tadakazu KondoDepartment of Hematology and Oncology, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0002-8959-6271
Yasuyuki AraiDepartment of Hematology and Oncology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takahito KawataDepartment of Hematology and Oncology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Naoyuki UchidaDepartment of Hematology, Federation of National Public Service Personnel Mutual Aid Associations Toranomon Hospital, Tokyo, Japan.
Atsushi MarumoHematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Kazuhiro IkegameDivision of Hematology, Department of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan.
Takahiro FukudaDepartment of Hematopoietic Stem Cell Transplantation, National Cancer Center Hospital, Tokyo, Japan.
Tetsuya EtoDepartment of Hematology, Hamanomachi Hospital, Fukuoka, Japan.
Masatsugu TanakaDepartment of Hematology, Kanagawa Cancer Center, Yokohama, Japan.
Atsushi WakeDepartment of Hematology, Federation of National Public Service Personnel Mutual Aid Associations, Toranomon Hospital Kajigaya, Kawasaki, Japan.
Junya KandaDepartment of Hematology and Oncology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takafumi KimuraPreparation Department, Japanese Red Cross Kinki Block Blood Center, Osaka, Japan.
Ken TabuchiDepartment of Pediatrics, Tokyo Metropolitan Cancer and Infectious Disease Center, Komagome Hospital, Tokyo, Japan.
Tatsuo IchinoheDepartment of Hematology and Oncology, Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.
Yoshiko AtsutaJapanese Data Center for Hematopoietic Cell Transplantation, Nagoya, Japan.
Masamitsu YanadaDepartment of Hematology and Cell Therapy, Aichi Cancer Center, Nagoya, Japan.ORCID 0000-0003-1602-9775
Shingo YanoDivision of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Kyoto University · JPToranomon Hospital · JPAichi Cancer Center · JPHamanomachi Hospital · JPHiroshima University · JPHyogo Medical University · JPJapanese Red Cross Society, Japan · JPJikei University School of Medicine · JPKanagawa Prefectural Hospital Organization · JPThe Japanese Data Center for Hematopoietic Cell Transplantation · JPTokyo Metropolitan Government · JPTokyo Metropolitan Komagome Hospital · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology
6 · The paper itself

Abstract

Allogenic hematopoietic stem cell transplantation (allo-HCT) is the standard treatment for acute myeloid leukemia (AML) in non-complete remission (non-CR); however, the prognosis is inconsistent. This study aimed to develop and validate nomograms and a web application to predict the overall survival (OS) of patients with non-CR AML undergoing allo-HCT (cord blood transplantation [CBT], bone marrow transplantation [BMT], and peripheral blood stem cell transplantation [PBSCT]). Data from 3052 patients were analyzed to construct and validate the prognostic models. The common significant prognostic factors among patients undergoing allo-HCT were age, performance status, percentage of peripheral blasts, cytogenetic risk, chemotherapy response, and number of transplantations. The conditioning regimen was a significant prognostic factor only in patients undergoing CBT. Compared with cyclophosphamide/total body irradiation, a conditioning regimen of ≥3 drugs, including fludarabine, with CBT exhibited the lowest hazard ratio for mortality (0.384; 95% CI, 0.266-0.554; p < 0.0001). A conditioning regimen of ≥3 drugs with CBT also showed the best leukemia-free survival among all conditioning regimens. Based on the results of the multivariable analysis, we developed prognostic models showing adequate calibration and discrimination (the c-indices for CBT, BMT, and PBSCT were 0.648, 0.600, and 0.658, respectively). Our prognostic models can help in assessing individual risks and designing future clinical studies. Furthermore, our study indicates the effectiveness of multi-drug conditioning regimens in patients undergoing CBT.

Indexed as

NomogramsAdultAge FactorsBone Marrow TransplantationBusulfanCord Blood Stem Cell TransplantationCyclophosphamideCytarabineFemaleHematopoietic Stem Cell TransplantationHumansImmunosuppressive AgentsKaplan-Meier EstimateKarnofsky Performance StatusLeukemia, Myeloid, AcuteMaleBusulfanCyclophosphamideCytarabinefludarabineImmunosuppressive AgentsMelphalanVidarabineacute myeloid leukemiahematopoietic stem cell transplantationnomogramnon-complete remissionweb application

Identifiers

PMID34132501
PMCPMC8267144
OpenAlexW3169196319

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.