Evidence map›Paper›PMID 34804942›Full record

ArticleFrontiers in oncology2021

Development and Validation of a Novel Prognostic Nomogram for CD5-Positive Diffuse Large B-Cell Lymphoma: A Retrospective Multicenter Study in China.

Ziyuan Shen, Ling Wang, Bingpei Zhang, Tianci Li, Dashan Li, Chenlu He, Yuhao Xue, Ying Wang, Bingzong Li, Qinhua Liu and 10 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Establishment of Prognosis Nomogram for Primary Splenic Diffuse Large B Cell Lymphoma: A Study Based on SEER Database.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2024
    Article
  3. Article
  4. 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

20 authors.

Ziyuan ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Ling WangDepartment of Hematology, Taian Central Hospital, Taian, China.
Bingpei ZhangDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Tianci LiDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Dashan LiDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Chenlu HeDepartment of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Yuhao XueDepartment of Hematology, Huai'an First People's Hospital, Huai'an, China.
Ying WangDepartment of Personnel, Suqian First Hospital, Suqian, China.
Bingzong LiDepartment of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Qinhua LiuDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Hao ZhangDepartment of Hematology, The Affiliated Hospital of Jining Medical University, Jining, China.
Weiying GuDepartment of Hematology, The First People's Hospital of Changzhou, Changzhou, China.
Fei WangDepartment of Hematology, The First People's Hospital of Changzhou, Changzhou, China.
Chunling WangDepartment of Hematology, Huai'an First People's Hospital, Huai'an, China.
Yuye ShiDepartment of Hematology, Huai'an First People's Hospital, Huai'an, China.
Jingjing YeDepartment of Hematology, Qilu Hospital of Shandong University, Jinan, China.
Taigang ZhuDepartment of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, China.
Yuqing MiaoDepartment of Hematology, Yancheng First People's Hospital, Yancheng, China.
Shuiping HuangCenter for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Wei SangDepartment of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD5-positive diffuse large B-cell lymphoma (CD5+ DLBCL) is a rare subtype of DLBCL with invasive clinical features and poor prognosis. Current clinical variables based on prognostic systems for DLBCL are inadequate to accurately stratify the prognosis of CD5+ DLBCL.

methodsA total of 195 CD5+ DLBCL patients were retrospectively recruited from nine centers in Huaihai Lymphoma Working Group. MaxStat analysis was used to identify optimal cutoff points for continuous variables; univariable and multivariable Cox analyses were used for variable selection; Kaplan-Meier curve was used to analyze the value of variables on prognosis; and C-index, Brier score, and decision curve analysis were measured for predicting model performance.

resultsThe derivation and validation cohorts consisted of 131 and 64 patients. Of the whole cohort, median age at diagnosis was 61 years, of whom 100 (51.28%) were males and the 5-year overall survival rate was 42.1%. MYC, BCL-2, and the coexpression of MYC/BCL-2 could distinguish the survival of CD5+ DLBCL. Multivariable analysis showed that age, IPI, red blood cell count, neutrophil count, MYC expression, and hepatosplenomegaly were independent predictors, and the prognostic nomogram was developed. The C-index of the nomogram was 0.809 in the derivation and 0.770 in the validation cohort. Decision curve analysis proved that compared with IPI, the specific nomogram showed a better identification in CD5+ DLBCL.

conclusionThe proposed nomogram provided a valuable tool for prognosis prediction in patients with CD5+ DLBCL.

Indexed as

CD5-positiveDLBCLnomogramprognosisvalidation

Identifiers

PMID34804942
PMCPMC8595286

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