Evidence map›Paper›PMID 30706241›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2019

Diagnostic performance of DWI for differentiating primary central nervous system lymphoma from glioblastoma: a systematic review and meta-analysis.

Xiaoyang Lu, Weilin Xu, Yuyu Wei, Tao Li, Liansheng Gao, Xiongjie Fu, Yuan Yao, Lin Wang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  5. Article
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  7. Review
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  9. Updates in IDH-Wildtype Glioblastoma.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
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  15. Association of dynamic susceptibility magnetic resonance imaging at initial tumor diagnosis with the prognosis of different molecular glioma subtypes.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Article
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  17. 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

8 authors.

Xiaoyang Lu *Department of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Weilin Xu *Department of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Yuyu Wei *Department of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Tao LiDepartment of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Liansheng GaoDepartment of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Xiongjie FuDepartment of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Yuan YaoDepartment of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China.
Lin WangDepartment of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, NO.88 Jiefang Rd, Zhejiang, 310009, Hangzhou, China. dr_wang@zju.edu.cn.ORCID http://orcid.org/0000-0002-6449-4930

Funding

Zhejiang Provincial Natural Science Foundation of China LY18H090007
6 · The paper itself

Abstract

objectiveThe purpose of this meta-analysis was to evaluate the diagnostic performance of diffusion-weighted imaging (DWI) for differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM). MATERIALS AND

methodsA thorough search of the databases including PubMed, EMBASE, and Cochrane Library was carried out and the data acquired were up to November 1, 2017. The quality of the studies involved was evaluated using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies, revised version). Multiple analytic values including sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the summary receiver operating characteristic (SROC) curve were calculated and pooled for the statistical analysis. The subgroup analysis was also performed to explore the heterogeneity.

resultsEight retrospective studies (461 patients with 461 lesions) were included. The pooled SEN, SPE, PLR, NLR, and DOR with 95% confidence interval (CI) were 0.82 [95% CI 0.70-0.90], 0.84 [95% CI 0.75-0.90], 4.96 [95% CI 3.20-7.69], 0.22 [95% CI 0.13-0.37], and 22.85 [95% CI 10.42-50.11], respectively. The area under the curve (AUC) given by SROC curve was 0.90 [95% CI 0.87-0.92]. The subgroup analysis indicated the slice thickness of the images (> 3 mm versus ≤ 3 mm) was a significant factor affecting the heterogeneity. No existence of significant publication bias was confirmed with Deeks' test.

conclusionsDWI showed moderate diagnostic performance for differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM). Moreover, it is of clinical significance using DWI combined with conventional MRI to differentiate PCNSL from GBM.

Indexed as

Diffusion Magnetic Resonance ImagingCentral Nervous System NeoplasmsDiagnosis, DifferentialGlioblastomaHumansLymphomaDWIGlioblastomaLymphomaMeta-analysis

Identifiers

PMID30706241

What OpenQuestion holds

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Registered trials

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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.