Evidence map›Paper›PMID 31802943›Full record

ArticleCancer management and research2019

The Diagnostic Value Of Using

Lingyang Hua, Fengchun Hua, Hongda Zhu, Jiaojiao Deng, Daijun Wang, Shihai Luan, Hailiang Tang, Yihui Guan, Qing Xie, Ye Gong

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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 at 2 institutions in 1 country.

Lingyang HuaDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Fengchun HuaDepartment of Nuclear Medicine and PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Hongda ZhuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Jiaojiao DengDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Daijun WangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Shihai LuanDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Hailiang TangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Yihui GuanDepartment of Nuclear Medicine and PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Qing XieDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Ye GongDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, People's Republic of China.
Huashan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to evaluate the potential role of PATIENTS AND

methodsA total of 124 patients met the final inclusion criterion. Tumor to gray ratio (TGR) was compared with Ki-67 labeling index, and its correlations with pre-operative neurological function and treatment status were also evaluated. Receiver-operating characteristic (ROC) curve was drawn to determine a cut-off value which could discriminate meningioma of different grades. Prognostic factors including TGR were analyzed using Kaplan-Meier survival curve and cox proportional model.

resultsThe TGR of higher World Health Organization (WHO) grade meningioma was significantly higher than that in lower grade (p < 0.001), and it was correlated with the Ki-67 labeling index (p < 0.001, r = 0.1545). The TGR of 1.30 was the best cutoff value for the detection of high grade (WHO grade II&III) meningioma from low grade (WHO grade I) according to ROC analysis, with a sensitivity of 61.5%, the specificity of 86.7%, and accuracy of 81.5%. The TGR (p < 0.001), treatment status (p = 0.035), tumor grade (p < 0.001) and Ki-67 labeling index (p < 0.001) were significantly associated with progression-free survival (PFS). Cox proportional hazards model demonstrated that TGR (p = 0.013) was an independent prognostic factor for PFS.

conclusionA high uptake of FDG was correlated with a more proliferative biological behavior and is a risk factor for tumor recurrence.

Indexed as

18F-FDG PETclinical characteristicmeningiomamolecular imagingprognosis

Identifiers

PMID31802943
PMCPMC6824206
OpenAlexW2982019140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.