Evidence map›Paper›PMID 31920331›Full record

ArticleOncoTargets and therapy2019

A Novel Scoring System Based on Peripheral Blood Test in Predicting Grade and Prognosis of Patients with Glioma.

Yiyang Wu, Zimu Song, Kuisheng Sun, Shikuo Rong, Peng Gao, Feng Wang, Tao Sun

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Yiyang Wu *Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, People's Republic of China.ORCID 0000-0002-9361-5412
Zimu Song *Department of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, People's Republic of China.
Kuisheng SunNingxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, People's Republic of China.
Shikuo RongNingxia Key Laboratory of Cerebrocranial Diseases, Incubation Base of National Key Laboratory, Ningxia Medical University, Yinchuan, People's Republic of China.ORCID 0000-0001-7904-0096
Peng GaoDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, People's Republic of China.
Feng WangDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, People's Republic of China.ORCID 0000-0003-2268-0943
Tao SunDepartment of Neurosurgery, General Hospital of Ningxia Medical University, Yinchuan, People's Republic of China.
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore the value of F-NLR-AGR score based on preoperative fibrinogen, neutrophil to lymphocyte ratio (NLR), and albumin to globulin ratio (AGR) in predicting the prognosis in patients with glioma. PATIENTS AND

methods203 glioma patients were retrospectively analyzed. Receiver-operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values for NLR, AGR, and fibrinogen. According to these cut-off values, patients with high NLR (>1.90), low AGR (<1.54), and elevated fibrinogen (>2.61 g/L) were defined as a score of 3, if none of the patients' three parameters met these standards they were given a score of 0, if any two or one parameter met these standards they were scored as 2 or 1, respectively. The correlation between F-NLR-AGR score and glioma grade was also evaluated.

resultsThe three-year overall survival (OS) rate and the mean overall survival in patients with F-NLR-AGR=3 were lower than those of patients with F-NLR-AGR = 2, 1 or 0 [17.6% vs 35.2%, 66.9% or 83.7% (26.0 vs 39.0, 64.0 or 81.0 months), P<0.001]. Multivariate analysis revealed that age (HR=2.071; 95% CI=1.195-3.588; P=0.009), WHO grade (P<0.001), and F-NLR-AGR score (P<0.001) were independent prognostic factors for OS. Spearman's rank correlation analysis revealed that F-NLR-AGR score was positively correlated with glioma grade (r=0.278, P<0.01).

conclusionPreoperative F-NLR-AGR score was correlated with glioma grading, high F-NLR-AGR score was an independent predictor of poor prognosis in glioma. Therefore, the scoring system may be applied in clinical practice to identify high-risk patients.

Indexed as

AGRalbumin to globulin ratiofibrinogengliomaneutrophil to lymphocyte ratioNLRprognosis

Identifiers

PMID31920331
PMCPMC6935303
OpenAlexW2995838600

What OpenQuestion holds

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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.