Evidence map›Paper›PMID 31035232›Full record

ArticleNeuroImage. Clinical2019

A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas.

Chong Qi, Yiming Li, Xing Fan, Yin Jiang, Rui Wang, Song Yang, Lanxi Meng, Tao Jiang, Shaowu Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Broad Learning EnhancedComputational and mathematical methods in medicine · 2020
    Article
  10. Article
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

9 authors.

Chong QiBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Yiming LiBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Xing FanBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Yin JiangBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Rui WangBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Song YangBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Lanxi MengBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Tao JiangBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China; National Clinical Research Center for Neurological Diseases, Beijing, China; Center of Brain Tumor, Beijing Institute for Brain Disorders, China; Chinese Glioma Genome Atlas Network (CGGA) and Asian Glioma Genome Atlas Network (AGGA), China. Electronic address: taojiang1964@163.com.
Shaowu LiBeijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China; National Clinical Research Center for Neurological Diseases, Beijing, China. Electronic address: lys5@sina.com.

Funding

Effect of Prazosin on Alcohol Craving, Stress Dysregulation and Alcohol RelapseR01AA020504 · NIAAA · YALE UNIVERSITY · PI FOX, HELEN CECILIA, SINHA, RAJITA · 2012 to 2016
$2.7M
NIAAA NIH HHS R01 AA020504
6 · The paper itself

Abstract

objectivesTo investigate the association between proton magnetic resonance spectroscopy (

methodsThis study included 112 glioma patients who were divided into the training (n = 74) and validation (n = 38) sets based on the time of hospitalization. Twenty-six metabolic features were extracted from the preoperative

resultsAmong the extracted

conclusions

Indexed as

AdultBrain NeoplasmsFemaleGliomaHumansMagnetic Resonance SpectroscopyMaleMiddle AgedNeoplasm GradingPreoperative CareRetrospective StudiesSupport Vector MachineGlioma gradingMachine learningProton magnetic resonance spectroscopySupport vector machine

Identifiers

PMID31035232
PMCPMC6487359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.