Evidence map›Paper›PMID 40148324›Full record

ArticleAnnals of medicine2025

Clinical outcomes and therapeutic modalities in older Chinese patients with MCL: a multi-center real-world retrospective study.

Yuan Yang, Ping Yang, Wei Zhang, Hui Liu, Xiuhua Sun, Xiubin Xiao, Jingwen Wang, Zhenling Li, Lihong Li, Shuye Wang and 9 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of medicine, 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yuan YangDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Ping YangDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Wei ZhangDepartment of Hematology, Peking Union Medical College Hospital, Beijing, China.
Hui LiuDepartment of Hematology, Beijing Hospital, Beijing, China.
Xiuhua SunDepartment of Medical Oncology, The Second Hospital of Dalian Medical University, Dalian, China.
Xiubin XiaoSenior Department of Hematology, The 5th Medical Center of PLA General Hospital, Beijing, China.
Jingwen WangDepartment of Hematology, Beijing Tongren Hospital, Beijing, China.
Zhenling LiDepartment of Hematology, China-Japan Friendship Hospital, Beijing, China.
Lihong LiDepartment of Hematology, Beijing Tsinghua Changgung Hospital, Beijing, China.
Shuye WangDepartment of Hematology, The First Hospital of Harbin Medical University, Harbin, China.
Juan HeDepartment of Hematology, The First Hospital of China Medical University, Shenyang, China.
Xiaoling LiDepartment of Medical Oncology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Qingqing CaiDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Weilong ZhangDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Jing WangDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Chunyuan LiDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Yingtong ChenDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Shuozi LiuDepartment of Hematology, Peking University Third Hospital, Beijing, China.
Hongmei JingDepartment of Hematology, Peking University Third Hospital, Beijing, China.ORCID 0000-0003-4958-2489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsMantle cell lymphoma (MCL), an uncommon lymphoma subtype, is clinically characterized by its heterogenous behavior. Established prediction system including several clinical and biological parameters can help in determining the aggressiveness of MCL in younger patients. However, there are limited parameters on predicting the clinical outcome of older patients. The present study was performed to identify the prognostic factors and optimal treatment modalities in older Chinese MCL patients.

methodsPatients (age ≥ 65 yrs) with MCL from 19 comprehensive hospitals in China were included. Clinical characteristics, therapeutic strategies, progression-free survival (PFS) and overall survival (OS) time of these patients were collected.

resultsTotally, 259 eligible patients were enrolled. The median age of patients was 69 years (range, 65-88). The median of PFS and OS were 29 months (95%CI: 26-37) and 76 months (95%CI: 61-96) months, respectively. Multivariate regression analysis determined that ECOG score ≥ 2, high MIPI score and absence of maintenance treatment were independently associated with poorer PFS of MCL patients; while ECOG score ≥ 2 and absence of maintenance treatment were independently correlated with a poorer OS. Patients with MCL who received BTKi-containing regimens or maintenance therapy showed significantly longer PFS and OS than those who did not receive these therapies. Maintenance treatment can improve the survival rate of older patients with MCL regardless of TP53 status.

conclusionsECOG ≥ 2, high MIPI score, and absence of maintenance therapy were associated with poorer survival outcomes for older Chinese MCL patients. Maintenance therapy and BTKi-containing regimens have been shown to increase the survival rate of older Chinese MCL patients.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsLymphoma, Mantle-CellAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansMalePrognosisProgression-Free SurvivalRetrospective StudiesTreatment OutcomeBTKi-containing regimensmaintenance treatmentMantle cell lymphomaolder patientssurvival

Identifiers

PMID40148324
PMCPMC11956097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.