Evidence map›Paper›PMID 42346245›Full record

ArticleCurrent oncology (Toronto, Ont.)2026

A Prognostic Model Incorporating Age and Systemic Inflammation Response Index for Primary CNS Lymphoma.

Ryosuke Matsuda, Takeshi Okuda, Hiromasa Yoshioka, Kengo Yamada, Takayuki Morimoto, Tsutomu Nakazawa, Hiromichi Hayami, Ryosuke Maeoka, Shohei Yokoyama, Ichiro Nakagawa

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ryosuke MatsudaDepartment of Neurosurgery, Kansai Medical University, Hirakata 573-1010, Japan.
Takeshi OkudaDepartment of Neurosurgery, Kindai University Faculty of Medicine, Sakai 590-0197, Japan.ORCID 0000-0001-8055-9434
Hiromasa YoshiokaDepartment of Neurosurgery, Kindai University Faculty of Medicine, Sakai 590-0197, Japan.
Kengo YamadaDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.ORCID 0009-0007-2196-6559
Takayuki MorimotoDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.ORCID 0000-0002-9974-3538
Tsutomu NakazawaDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.ORCID 0000-0003-4286-9356
Hiromichi HayamiDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.
Ryosuke MaeokaDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.
Shohei YokoyamaDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.
Ichiro NakagawaDepartment of Neurosurgery, Nara Medical University, Kashihara 634-8522, Japan.ORCID 0000-0002-1340-3293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHere, we propose a novel predictive scoring system incorporating age and the systemic inflammation response index (SIRI), which is calculated using neutrophil, monocyte, and lymphocyte counts, for patients with newly diagnosed primary central nervous system lymphoma (PCNSL).

methodsThe study included 55 consecutive patients with sufficient blood test data and follow-up at our institution between November 2006 and May 2022. Age and SIRI were identified as prognostic factors and incorporated into a predictive multivariate Cox proportional hazards model. A scoring system of 0-2 points was created, with 1 point each assigned to age ≥ 65 years and high SIRI score (≥1.43 × 10

resultsPatients with 0, 1, and 2 points were assigned to groups 1, 2, and 3, respectively. The median overall survival (OS) was 35.9 months in the entire training cohort and 57.8, 37.2, and 16.1 months in groups 1, 2, and 3, respectively. The three groups showed significant differences in median OS (

conclusionOur new scoring system incorporating age and SIRI may serve as a preliminary prognostic model for predicting OS in patients with PCNSL. This score may be beneficial for disease risk stratification and clinical decision-making in the future.

Indexed as

Central Nervous System NeoplasmsInflammationLymphomaAdultAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedPrognosisblood cell countpredictive scoring systemprimary central nervous system lymphomasystemic inflammation response index

Identifiers

PMID42346245
PMCPMC13297882

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.