Evidence map›Paper›PMID 37676929›Full record

ArticleThe Journal of international medical research2023

Development and validation of a survival nomogram in patients with primary testicular diffuse large B-cell lymphoma.

Yongjin Zhi, Shuojing Bao, Jingcheng Mao, Gufan Chai, Chengjiang Liu, Jianfeng Zhu

Abstract read
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Article in The Journal of international medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [Primary testicular lymphoma with extranodal involvement in the stomach. Case report].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Article
  5. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Yongjin ZhiDepartment of Hematology, Taizhou People's Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China.ORCID 0000-0002-9326-7569
Shuojing BaoDepartment of General Practice, Zhangdian People's Hospital, Taizhou, Jiangsu Province, China.
Jingcheng MaoDepartment of Hematology, Taizhou People's Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China.
Gufan ChaiDepartment of Hematology, Taizhou People's Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China.
Chengjiang LiuDepartment of General Practice, Anhui Medical University, Heifei, Anhui Province, China.
Jianfeng ZhuDepartment of Hematology, Taizhou People's Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe developed and validated a nomogram for overall survival (OS) and cancer-specific survival (CSS) prediction in patients with primary testicular diffuse large B-cell lymphoma (PT-DLBCL).

methodsPatients diagnosed with PT-DLBCL were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were analyzed to establish a nomogram of OS and CSS. Patients were reclassified into high- and low-risk groups; survival was compared using Kaplan-Meier curves and log-rank tests.

resultsWe collected 1099 PT-DLBCL cases (2000-2019) from SEER and randomized into training (n = 771) and validation (n = 328) cohorts. In univariate and multivariate Cox regression analyses, five prognostic indicators (age, treatment modality, diagnosis year, Ann Arbor stage, laterality) were used to establish a nomogram of OS and CSS. The nomogram demonstrated excellent discrimination and calibration, with concordance indices in the training and validation cohorts of 0.702 (95% confidence interval [CI], 0.677-0.727) and 0.705 (95% CI 0.67-0.74) for OS and 0.694 (95% CI 0.663-0.725) and 0.680 (95% CI 0.63-0.72) for CSS. The calibration curve and ROC analysis indicated good predictive capability of the nomogram.

conclusionsThe constructed prognostic model showed good predictive value for PT-DLBCL to assist clinicians in developing individualized treatment strategies.

Indexed as

Lymphoma, Large B-Cell, DiffuseTesticular NeoplasmsAdultCalibrationDatabases, FactualFunctional LateralityHumansMaleNomogramsdiffuse large B-cell lymphomanomogramprognosisrisk factorsurvivalTestis

Identifiers

PMID37676929
PMCPMC10492492

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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.