Evidence map›Paper›PMID 40556671›Full record

ArticleFrontiers in oncology2025

Real-world data on clinical outcomes and validation of prognostic models for angioimmunoblastic T-cell lymphoma: a multicentric retrospective study in Southern China.

Qiu-Yuan Xiang, Jing-Song Wu, Ling Huang, Zong-Kai Zou, Ting-Bo Liu, Zhi-Gang Peng, Li-E Lin, Xiao-Lei Wei, Hong-Yu Zhang, Yun Lin and 9 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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. 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.

Qiu-Yuan XiangDepartment of Hematology, The Second Clinical Medical College of Jinan University, Shenzhen, China.
Jing-Song WuDepartment of Hematology, The Second Clinical Medical College of Jinan University, Shenzhen, China.
Ling HuangDepartment of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Medicine Sciences, Southern Medial University, Guangzhou, China.
Zong-Kai ZouDepartment of Pathology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Ting-Bo LiuDepartment of Hematology, Fujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
Zhi-Gang PengDepartment of Hematology, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Li-E LinDepartment of Hematology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
Xiao-Lei WeiDepartment of Hematology, Nanfang Hospital and Southern Medical University, Guangzhou, China.
Hong-Yu ZhangDepartment of Hematology, Peking University Shenzhen Hospital, Shenzhen, China.
Yun LinDepartment of Hematology, Fujian Provincial Hospital, Fuzhou, China.
Guo-Wei LiDepartment of Hematology, Huizhou Central People's Hospital, Huizhou, China.
Yi-Rong JiangDepartment of Hematology, Affiliated Dongguan People's Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Hua WangDepartment of Hematology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Ke-Qian ShiDepartment of Hematology, The First People's Hospital of Yunnan Province, Kunming, China.
Rui-Ji ZhengDepartment of Hematology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Zhi-Jun HanDepartment of Hematology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Xiao QiuDepartment of Hematology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University; The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, China.
Wen-Yu LiDepartment of Hematology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Ji-Hao ZhouDepartment of Hematology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University; The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to elucidate the treatment outcomes and prognosis of angioimmunoblastic T-cell lymphoma (AITL) patients in a real-world setting. Objectives: The clinical efficacy of new drug applications was evaluated, alongside the predictive accuracy of prognostic models, to inform future research. Methods: In this study, 82.9% of patients received a CHOP-like regimen, while 36.4% also received chidamide. We assessed the prognostic models' predictive power using the Cox proportional hazards model and concordance index (C-index). Results: The median age of the patients in this study was 62.0 years, with 2-year progression-free survival (PFS) and overall survival (OS) rates of 36.1% and 60.3%, respectively. Complete response (CR) rates in first-line treatments were 21.6% for the chidamide-containing group and 28.1% for the chidamide-free group. The AITL scores, PIAI scores, and Chinese AITL scores demonstrated superior C-index values, with the Chinese AITL score providing the most distinct risk stratification. Advanced age (over 70 years), bone marrow involvement, and CD7 negativity were identified as significant prognostic factors associated with poorer PFS in both univariate and multivariate analyses. A novel prognostic model, the South China AITL Score, was constructed by combining these three factors, stratifying patients into low-risk and high-risk groups, with 5-year PFS rates of 81.5% and 34.6%, respectively. This model was successfully validated in an independent cohort. Conclusions: The prognosis of AITL in real-world settings is poor, and the addition of chidamide did not show improvement in remission rates or survival. Our novel prognostic model, along with the Chinese AITL score, may enhance the identification of Chinese patients at varying risks for chemotherapy. Furthermore, the pathological marker CD7 is anticipated to emerge as a significant biomarker for the prognostic evaluation of AITL.

Indexed as

angioimmunoblastic T-cell lymphoma (AITL)clinical characteristicsprognostic modelreal-world studySouth China AITL scoresurvival rate

Identifiers

PMID40556671
PMCPMC12185395

What Socratic holds

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LicenceCC BY
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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 Socratic graph.