Evidence map›Paper›PMID 23269453›Full record

ArticleJournal of neuro-oncology2013

A new prognostic scoring scale for patients with primary WHO grade III gliomas based on molecular predictors.

Haihui Jiang, Xiaohui Ren, Wei Zhang, Jun Ma, Dali Sui, Zhongli Jiang, Xiangli Cui, Song Lin

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 27% 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, 16 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

8 authors at 2 institutions in 1 country.

Haihui JiangNeurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Xiaohui Ren
Wei Zhang
Jun Ma
Dali Sui
Zhongli Jiang
Xiangli Cui
Song Lin
Beijing Tian Tan Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to select molecular markers associated with prognosis, and to propose a prognostic scoring scale for patients with primary WHO grade III gliomas based on these molecular predictors. A series of 83 grade III glioma patients surgically treated and pathologically confirmed in Beijing Tiantan Hospital between May 2009 and December 2010 were retrospectively reviewed in the study. Log-rank analysis was used to identify molecular markers associated with progression-free survival (PFS) and overall survival (OS), which were further assessed using Cox regression analysis. Based on the prognostic molecular markers, a scoring scale was proposed and Kaplan-Meier plots were compared between different scoring levels by Log-rank method. Age <50, 1p/19q co-deletion, IDH1/2 mutation, negative MGMT and EGFR expression were correlated with longer PFS and OS. Cox regression confirmed age <50 and 1p/19q co-deletion as independent prognostic markers. This scoring scale mainly based on prognostic molecular markers stratified patients into four levels with different prognoses. Longer PFS and OS were correlated with higher scores (P < 0.05). This scoring scale based on prognostic molecular markers identified four levels with significantly different prognoses, and could be used to predict the prognosis of patients with primary WHO grade III gliomas.

Indexed as

AdolescentAdultAgedBrain NeoplasmsChromosome DeletionChromosomes, Human, Pair 1Disease-Free SurvivalFemaleFollow-Up StudiesGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMaleMiddle AgedMutationIsocitrate Dehydrogenase

Identifiers

PMID23269453
OpenAlexW2142091100

What OpenQuestion holds

Textmetadata
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.