Evidence map›Paper›PMID 40133631›Full record

ArticleAnnals of hematology2025

Improving outcome prediction in indolent ATL by subdividing intermediate risk into low- and high-intermediate groups.

Shigeo Fuji, Masahito Tokunaga, Atae Utsunomiya, Junya Makiyama, Youko Suehiro, Ki-Ryang Koh, Makoto Nakashima, Yoshihisa Yamano, Kaoru Uchimaru

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Shigeo FujiDepartment of Hematology, Osaka International Cancer Institute, 3-1-69, Otemae, Chuo-ku, Osaka-shi, Osaka, 5418567, Japan. fujishige1231@gmail.com.
Masahito TokunagaDepartment of Hematology, Imamura General Hospital, Kagoshima, Japan.
Atae UtsunomiyaDepartment of Hematology, Imamura General Hospital, Kagoshima, Japan.
Junya MakiyamaDepartment of Hematology, Sasebo City General Hospital, Nagasaki, Japan.
Youko SuehiroDepartment of Hematology and Cell Therapy, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.
Ki-Ryang KohDepartment of Hematology, Osaka General Hospital of West Japan Railway Company, Osaka, Japan.
Makoto NakashimaLaboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.
Yoshihisa YamanoDepartment of Neurology, St. Marianna University School of Medicine, Kanagawa, Japan.
Kaoru UchimaruLaboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indolent adult T-cell leukemia-lymphoma prognostic index (iATL-PI) uses soluble interleukin-2 receptor (sIL-2R) levels of 1,000 and 6,000 U/mL as a cut-off. The disadvantage of the iATL-PI is that approximately half of the patients are classified as intermediate risk (1,000 ≤ sIL-2R < 6,000). Here, we aimed to develop a novel prognostic model for indolent ATL using a prospectively registered database. We identified 375 patients with indolent ATL. Median age was 61 years. The median follow-up of surviving patients was approximately 62 months. In multivariate analysis for overall survival (OS), sIL-2R level (as log(sIL-2R), HR 4.58), male sex (HR 1.41) and LDH > ULN (HR 1.68) were independent prognostic factors. The best cut-off value for sIL-2R to predict OS was 2,870 U/mL. Including the cut-off of 3,000 U/mL in the original iATL-PI, the probabilities of 5-year OS were 88.9% in the low group (sIL-2R < 1,000), 67.5% in the low-intermediate group (1,000 ≤ sIL-2R < 3,000), 34.0% in the high-intermediate group (3,000 ≤ sIL-2R < 6,000) and 17.0% in the high group (sIL-2R ≥ 6,000). The c-index for predicting OS was higher with the modified iATL-PI than with the original iATL-PI (0.749 vs. 0.725). The addition of sex and LDH levels did not improve the c-index. In conclusion, we developed a novel prognostic index of indolent ATL.

Indexed as

Leukemia-Lymphoma, Adult T-CellReceptors, Interleukin-2AdultAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisProspective StudiesRisk FactorsSurvival RateReceptors, Interleukin-2Adult T-cell leukemia-lymphomaCutaneousHTLV-1IndolentPrognostic factor

Identifiers

PMID40133631
PMCPMC12053189

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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.