Evidence map›Paper›PMID 32314548›Full record

ArticleCancer medicine2020

Multi-marker algorithms based on CXCL13, IL-10, sIL-2 receptor, and β2-microglobulin in cerebrospinal fluid to diagnose CNS lymphoma.

Masahiro Maeyama, Takashi Sasayama, Kazuhiro Tanaka, Satoshi Nakamizo, Hirotomo Tanaka, Masamitsu Nishihara, Yuichi Fujita, Kenji Sekiguchi, Masaaki Kohta, Katsu Mizukawa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  15. Updates of primary central nervous system lymphoma.Therapeutic advances in 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

13 authors at 4 institutions in 1 country.

Masahiro MaeyamaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Takashi SasayamaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID 0000-0002-5593-9045
Kazuhiro TanakaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Satoshi NakamizoDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Hirotomo TanakaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Masamitsu NishiharaDepartment of Neurosurgery, Nishi-Kobe Medical Center, Kobe, Japan.ORCID 0000-0003-2926-5830
Yuichi FujitaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Kenji SekiguchiDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Japan.
Masaaki KohtaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Katsu MizukawaDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Takanori HiroseDivision of Pathology for Regional Communication, Kobe University School of Medicine, Kobe, Japan.
Tomoo ItohDepartment of Diagnostic Pathology, Kobe University Hospital, Kobe, Japan.
Eiji KohmuraDepartment of Neurosurgery, Kobe University Graduate School of Medicine, Kobe, Japan.
Kobe University · JPHyogo Prefectural Cancer Center · JPKobe Medical Center · JPKobe University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor biopsy is essential for the definitive diagnosis of central nervous system (CNS) lymphoma. However, the biopsy procedure carries the risk of complications such as bleeding, convulsions, and infection. Cerebrospinal fluid (CSF) β2-microglobulin (β2-MG), soluble IL-2 receptor (sIL-2R), and interleukin-10 (IL-10) are known to be useful diagnostic biomarkers for CNS lymphoma. The C-X-C motif chemokine ligand 13 (CXCL13) was recently reported to be another useful biomarker for CNS lymphoma. The purpose of this study is to establish a diagnostic algorithm that can avoid biopsy by combining these diagnostic biomarkers. In the first, we conducted a case-control study (n = 248) demonstrating that the CSF CXCL13 concentration was significantly increased in CNS lymphoma patients compared with various other brain diseases (AUC = 0.981). We established a multi-marker diagnostic model using CSF CXCL13, IL-10, β2-MG, and sIL-2R from the results of the case-control study and then applied the model to a prospective study (n = 104) to evaluate its utility. The multi-marker diagnostic algorithms had excellent diagnostic performance: the sensitivity, specificity, positive predictive value, and negative predictive value were 97%, 97%, 94%, and 99%, respectively. In addition, CSF CXCL13 was a prognostic biomarker for CNS lymphoma patients. Our study suggests that multi-marker algorithms are important diagnostic tools for patients with CNS lymphoma.

Indexed as

Algorithmsbeta 2-MicroglobulinBiomarkers, TumorCase-Control StudiesCentral Nervous System NeoplasmsChemokine CXCL13Follow-Up StudiesHumansInterleukin-10Lymphoma, Non-HodgkinPrognosisProspective StudiesReceptors, Interleukin-2Retrospective Studiesbeta 2-MicroglobulinBiomarkers, TumorChemokine CXCL13CXCL13 protein, humanIL10 protein, humanInterleukin-10Receptors, Interleukin-2biomarkercentral nervous system lymphomacerebrospinal fluidCXCL13IL-10

Identifiers

PMID32314548
PMCPMC7300423
OpenAlexW3016932049

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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.