Evidence map›Paper›PMID 34012033›Full record

ArticleBritish journal of cancer2021

A nomogram prognostic index for risk-stratification in diffuse large B-cell lymphoma in the rituximab era: a multi-institutional cohort study.

Jun Cai, Xiaopeng Tian, Shuyun Ma, Liye Zhong, Wenyu Li, Liang Wang, Linlang Guo, Zhihua Li, Yudan Wu, Guangzheng Zhong and 8 more

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Predictive value of prognostic nutritional index as prognostic biomarkers in patients with lymphoma: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  3. Article
  4. Review
  5. Recent advances in CD5Annals of hematology · 2024
    Review
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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 4 institutions in 1 country.

Jun Cai *State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Xiaopeng Tian *State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Shuyun Ma *State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Liye Zhong *Department of Hematology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P. R. China.
Wenyu Li *Lymphoma Division, Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, P. R. China.
Liang WangDepartment of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, P. R. China.ORCID http://orcid.org/0000-0001-6140-914X
Linlang GuoDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, P. R. China.
Zhihua LiDepartment of Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Yudan WuDepartment of Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Guangzheng ZhongDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P. R. China.
Huiqiang HuangState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Zhongjun XiaState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Yi XiaState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Panpan LiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Ning SuState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Yu FangState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Yuchen ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Qingqing CaiState Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China. caiqq@sysucc.org.cn.
Sun Yat-sen University · CNGuangdong General Hospital · CNBeijing Tongren Hospital · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to establish a predictive prognostic risk-stratification model for diffuse large B-cell lymphoma (DLBCL) in the rituximab era.

methodsThe data of 1406 primary DLBCL patients from the Sun Yat-Sen University Cancer Center were analysed to establish a nomogram prognostic index (NPI) model for predicting overall survival (OS) based on pre-treatment indicators. An independent cohort of 954 DLBCL patients from three other hospitals was used for external validation.

resultsAge, performance status, stage, lactate dehydrogenase, number of extranodal sites, BCL2, CD5 expression, B symptoms and absolute lymphocyte and monocyte count were the main factors of the NPI model and could stratify the patients into four distinct categories based on their predicted OS. The calibration curve demonstrated satisfactory agreement between the predicted and actual 5-year OS of the patients. The concordance index of the NPI model (0.794) was higher than the IPI (0.759) and NCCN-IPI (0.750), and similar results were obtained upon external validation. For CD5 + DLBCL patients, systemic treatment with high-dose methotrexate was associated with superior OS compared to R-CHOP-based immunochemotherapy alone.

conclusionsWe established and validated an accurate prediction model, which performed better than IPI and NCCN-IPI for prognostic stratification of DLBCL patients.

Indexed as

NomogramsAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideDoxorubicinFemaleHumansLymphoma, Large B-Cell, DiffuseMalePrednisonePrognosisRetrospective StudiesRisk FactorsRituximabSurvival AnalysisTreatment OutcomeVincristineCyclophosphamideDoxorubicinPrednisoneR-CHOP protocolRituximabVincristine

Identifiers

PMID34012033
PMCPMC8329293
OpenAlexW3190165147

What OpenQuestion holds

Textmetadata
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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.