Evidence map›Paper›PMID 37443251›Full record

ArticleBone marrow transplantation2023

External validation and extended application of the transplant conditioning intensity score in acute myeloid leukemia.

Masamitsu Yanada, Yoshimitsu Shimomura, Shohei Mizuno, Kensuke Matsuda, Tadakazu Kondo, Noriko Doki, Masatsugu Tanaka, Takahiro Fukuda, Takahide Ara, Naoyuki Uchida and 11 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Bone marrow transplantation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

21 authors at 17 institutions in 1 country.

Masamitsu YanadaAichi Cancer Center, Nagoya, Japan. myanada@aichi-cc.jp.ORCID 0000-0003-1602-9775
Yoshimitsu ShimomuraKobe City Medical Center General Hospital, Kobe, Japan.ORCID 0000-0003-1018-9508
Shohei MizunoAichi Medical University, Nagakute, Japan.ORCID 0000-0002-4405-8808
Kensuke MatsudaGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tadakazu KondoKobe City Medical Center General Hospital, Kobe, Japan.ORCID 0000-0002-8959-6271
Noriko DokiTokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan.
Masatsugu TanakaKanagawa Cancer Center, Yokohama, Japan.
Takahiro FukudaNational Cancer Center Hospital, Tokyo, Japan.
Takahide AraHokkaido University Hospital, Sapporo, Japan.ORCID 0000-0001-9609-3202
Naoyuki UchidaToranomon Hospital, Tokyo, Japan.ORCID 0000-0001-5952-5926
Makoto OnizukaTokai University School of Medicine, Isehara, Japan.ORCID 0000-0003-3864-0823
Masashi SawaAnjo Kosei Hospital, Anjo, Japan.
Yukiyasu OzawaJapanese Red Cross Aichi Medical Center Nagoya Daiichi Hospital, Nagoya, Japan.
Nobuhiro HiramotoKobe City Medical Center General Hospital, Kobe, Japan.
Shuichi OtaSapporo Hokuyu Hospital, Sapporo, Japan.ORCID 0000-0002-3631-244X
Junya KandaGraduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-6704-3633
Yoshinobu KandaJichi Medical University, Shimotsuke, Japan.ORCID 0000-0002-4866-9307
Tatsuo IchinoheResearch Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan.ORCID 0000-0002-0393-4066
Shinichiro OkamotoKeio University School of Medicine, Tokyo, Japan.
Yoshiko AtsutaAichi Medical University, Nagakute, Japan.ORCID 0000-0003-4404-2870
Takaaki KonumaThe Institute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-1496-376X
Kobe City Medical Center General Hospital · JPAichi Medical University · JPThe University of Tokyo · JPAichi Cancer Center · JPAnjo Kosei Hospital · JPHiroshima University · JPHokkaido University Hospital · JPJapanese Red Cross Nagoya Daiichi Hospital · JPJichi Medical University · JPKanagawa Prefectural Hospital Organization · JPKeio University · JPKyoto University · JPSapporo Hokuyu Hospital · JPTokai University · JPTokyo Metropolitan Komagome Hospital · JPTokyo National Hospital · JPToranomon Hospital · JP

Funding

Japan Agency for Medical Research and Development (AMED) 19ek0510023h0003
6 · The paper itself

Abstract

This study aimed to validate the utility of the transplant conditioning intensity (TCI) score in 1714 patients with acute myeloid leukemia (AML) undergoing allogeneic bone marrow or peripheral blood stem cell transplantation (BMT/PBSCT) and assess its applicability to 753 patients with AML undergoing umbilical cord blood transplantation (UCBT) both during first complete remission. Patients classified into a high TCI group accounted for 63% and 56% in the BMT/PBSCT and UCBT cohorts, respectively. In the BMT/PBSCT cohort, the risk of relapse was lower in patients in the high versus intermediate TCI group (P = 0.002), although non-relapse mortality (NRM) did not differ among the three TCI groups. In the UCBT cohort, both relapse and NRM did not differ among the TCI groups. Increasing cutoff points for intermediate and high TCI categories significantly improved the ability to predict relapse and NRM in the BMT/PBSCT cohort (P = 0.030 and 0.006, respectively), and relapse but not NRM in the UCBT cohort (P = 0.005 and 0.364, respectively). These findings highlight the difference in the threshold level of the TCI score for outcome discrimination between European and Japanese cohorts. The TCI scheme appears less effective for UCBT than for BMT/PBSCT.

Indexed as

Cord Blood Stem Cell TransplantationLeukemia, Myeloid, AcuteTransplantation ConditioningAdolescentAdultAgedFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID37443251
OpenAlexW4384155046

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.