Evidence map›Paper›PMID 42178614›Full record

ArticleBritish journal of haematology2026

Long-term outcomes after allogeneic versus autologous haematopoietic stem cell transplantation for T-lymphoblastic lymphoma.

Qian Cheng, Ying Zhu, Kaiyu Sheng, Jin Zhou, Tao You, Qian Wang, Qisi Lu, Jia Chen, Depei Wu, Haiwen Huang

Abstract readComparative Study
In one paragraph

Article in British journal of haematology, 2026. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Qian ChengJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.ORCID https://orcid.org/0009-0006-5392-1657
Ying ZhuJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.ORCID https://orcid.org/0000-0002-8215-8439
Kaiyu ShengJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
Jin ZhouJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
Tao YouJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
Qian WangJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.ORCID https://orcid.org/0000-0002-6527-6855
Qisi LuJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
Jia ChenJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
Depei WuJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.
Haiwen HuangJiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, P. R. China.ORCID https://orcid.org/0000-0002-1824-5247

Funding

Horizontal Research Fundation of Soochow University H240075Suzhou Science and Technology Development Program - Applied Basic Research (Healthcare) - Science and Technology Innovation Project SYW2024001
6 · The paper itself

Abstract

T-lymphoblastic lymphoma (T-LBL) is an aggressive malignancy with a high relapse risk despite intensive therapy. The optimal transplant strategy remains uncertain. We retrospectively analysed 81 patients with T-LBL undergoing haematopoietic stem cell transplantation (HSCT) (59 allogeneic [allo-HSCT] and 22 autologous [auto-HSCT]). Survival outcomes were evaluated using Kaplan-Meier and competing-risk methods. Multivariable Cox regression, propensity score matching and landmark analyses at 12 months were performed. At 3 years, overall survival (OS) was comparable between allo-HSCT and auto-HSCT (76.0% vs. 77.0%; p = 0.890), while progression-free survival (PFS) was numerically higher following allo-HSCT (77.0% vs. 58.7%; p = 0.141). The cumulative incidence of relapse tended to be lower after allo-HSCT (18.6% vs. 30.5%; p = 0.129), with similar non-relapse mortality. Landmark analyses suggested a time-dependent pattern, with divergence in PFS beyond 12 months. In multivariable analyses, allo-HSCT (hazard ratio [HR] 0.34; p = 0.037) and complete remission at transplantation (HR 0.23; p = 0.001) were independently associated with improved PFS, highlighting disease status as a key determinant. Allo-HSCT showed a trend towards improved disease control without increased non-relapse mortality. This effect may be influenced by disease status at transplantation. Findings should be interpreted cautiously and require prospective validation.

Indexed as

Hematopoietic Stem Cell TransplantationPrecursor T-Cell Lymphoblastic Leukemia-LymphomaAdolescentAdultFemaleHumansMaleMiddle AgedRecurrenceRetrospective StudiesTransplantation, AutologousTransplantation ConditioningTransplantation, HomologousTreatment OutcomeYoung Adulthaematopoietic stem cell transplantationrelapse allogeneic HSCTT‐lymphoblastic lymphoma

Identifiers

PMID42178614
PMCPMC13462156

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.