Evidence map›Paper›PMID 32011103›Full record

Observational studyCancer medicine2020

A new prognostic score for disease progression and mortality in patients with newly diagnosed primary CNS lymphoma.

Chia-Jen Liu, Shinn-Yn Lin, Ching-Fen Yang, Chiu-Mei Yeh, Ai-Seon Kuan, Hao-Yuan Wang, Chun-Kuang Tsai, Jyh-Pyng Gau, Liang-Tsai Hsiao, Po-Min Chen and 5 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Prognostic value of POD18 combined with improved IELSG in primary central nervous system lymphoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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

15 authors.

Chia-Jen LiuDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID 0000-0001-7945-9292
Shinn-Yn LinDepartment of Radiation Oncology, Linkou Chang Gung Memorial Hospital Medical Center, Taoyuan City, Taiwan.
Ching-Fen YangDepartment of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chiu-Mei YehDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Ai-Seon KuanCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Hao-Yuan WangDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chun-Kuang TsaiDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Jyh-Pyng GauDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Liang-Tsai HsiaoDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Po-Min ChenDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yao-Chung LiuDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Ying-Chung HongSchool of Medicine, National Yang-Ming University, Taipei, Taiwan.
Po-Shen KoDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Jin-Hwang LiuDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chia-Hsin LinDivision of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID 0000-0003-3403-2927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough various prognostic models for primary central nervous system lymphoma (PCNSL) have been developed, there is no consensus regarding the optimal prognostic index. We aimed to evaluate potential prognostic factors and construct a novel predictive model for PCNSL patients.

methodsWe enrolled newly diagnosed PCNSL patients between 2003 and 2015. The primary endpoint was progression-free survival (PFS), and the secondary endpoint was overall survival (OS). The prognostic factors identified using multivariate Cox proportional hazards models were used to develop a predictive model. We subsequently validated the prognostic model in an independent cohort. We also evaluated the validity of the existing scores: the International Extranodal Lymphoma Study Group (IELSG), the Nottingham/Barcelona (NB), and the Memorial Sloan-Kettering Cancer Center models (MSKCC).

resultsWe identified 101 patients with newly diagnosed PCNSL at our center. Multivariate analysis showed that age ≥80, deep brain lesions, and ECOG ≥2 were independent risk factors of PFS. Assigning one point for each factor, we constructed a novel prognostic model, the Taipei Score, with four distinct risk groups (0-3 points). The performances of the Taipei Score in discriminating both PFS and OS in the training cohort were significant, and the score was validated in the external validation cohort. The IELSG, NB and MSKCC models had insufficient discriminative ability for either PFS or OS in both cohorts.

conclusionThe Taipei Score is a simple model that discriminates PFS and OS for PCNSL patients. The score may offer disease risk stratification and facilitate clinical decision-making.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsAntineoplastic Combined Chemotherapy ProtocolsCentral Nervous System NeoplasmsChemoradiotherapyClinical Decision-MakingCranial IrradiationDisease ProgressionFemaleFollow-Up StudiesHumansLymphoma, Non-HodgkinMaleepidemiologyexternal validationprimary CNS lymphomaprognostic model

Identifiers

PMID32011103
PMCPMC7064125

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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.