Evidence map›Paper›PMID 35488377›Full record

ArticleCancer medicine2022

A novel prognostic nomogram for patients with extragastric mucosa-associated lymphoid tissue lymphoma: A multicenter study.

Xiaoqian Li, Huangming Hong, He Huang, Liqun Zou, Zegeng Chen, Zhihui Zhang, Liling Zhang, Xiaojie Fang, Hongqiang Guo, Ke Xie and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2022. 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
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

18 authors at 6 institutions in 1 country.

Xiaoqian LiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.ORCID 0000-0003-3330-1267
Huangming HongDepartment of Senior and Phase I Clinical Trial Ward, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science & Technology of China, Sichuan, Province, Chengdu, China.
He HuangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Liqun ZouDepartment of Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zegeng ChenDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.ORCID 0000-0003-4755-6711
Zhihui ZhangDepartment of Senior and Phase I Clinical Trial Ward, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science & Technology of China, Sichuan, Province, Chengdu, China.
Liling ZhangCancer Centre, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaojie FangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Hongqiang GuoDepartment of Medical Oncology, He Nan Cancer Hospital, Zhengzhou, China.
Ke XieDepartment of Oncology, Sichuan Provincial People's Hospital, Chengdu, China.
Ying TianDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Suxia LinDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Yungchang ChenDepartment of Senior and Phase I Clinical Trial Ward, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science & Technology of China, Sichuan, Province, Chengdu, China.
Wei ZhangDepartment of Senior and Phase I Clinical Trial Ward, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science & Technology of China, Sichuan, Province, Chengdu, China.
Yuyi YaoDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Fei PanDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Huawei WengDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Tongyu LinDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, State Key Laboratory of Oncology in Southern China, and Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Sun Yat-sen University · CNSichuan Cancer Hospital · CNFourth People's Hospital of Sichuan Province · CNHenan Cancer Hospital · CNSichuan University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to explore predictors and construct a nomogram for risk stratification in primary extragastric mucosa-associated lymphoid tissue (MALT) lymphoma.

methodsExtragastric MALT lymphoma cases newly diagnosed between November 2010 and April 2020 were assessed to construct a progression-free survival (PFS)-related nomogram. We also performed external validation of the nomogram in an independent cohort.

resultsWe performed multivariate analyses of 174 patients from 3 hospitals who were included in the training cohort. Stage, hepatitis B virus surface antigen (HBsAg) status, and Ki67 expression were significantly associated with PFS. These three factors were used to construct a nomogram, which was shown to have a C-index of 0.89. Two risk groups (low risk and high risk) were identified by the prognostic model. The 5-year PFS was 98.9% for the low-risk group and 69.3% for the high-risk group (p < 0.001). The overall survival (OS) could also be effectively distinguished by the nomogram, resulting in an OS of 100% for the low-risk group and 94.6% for the high-risk group (p = 0.01). These results were validated and confirmed in an independent cohort with 165 patients from another three hospitals. The 5-year PFS rates were 94.8% and 66.7% for the low-risk and high-risk groups, respectively (p < 0.001). The 5-year OS rates were 97.9% and 88.4%, respectively (p = 0.016).

conclusionThe nomogram could well distinguish the prognosis of low- and high-risk patients with extragastric MALT lymphoma and is thus recommended for clinical use.

Indexed as

Lymphoma, B-Cell, Marginal ZoneAntigens, SurfaceHepatitis B Surface AntigensHumansKi-67 AntigenNeoplasm StagingNomogramsPrognosisRetrospective StudiesAntigens, SurfaceHepatitis B Surface AntigensKi-67 Antigenextragastric MALT lymphomanomogramoverall survivalprognosisprogression-free survival

Identifiers

PMID35488377
PMCPMC9487880
OpenAlexW4225159685

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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.