Evidence map›Paper›PMID 35173600›Full record

ArticleFrontiers in aging neuroscience2021

Prognostic and Predictive Factors in Elderly Patients With Glioblastoma: A Single-Center Retrospective Study.

Jinghui Liu, Chen Li, Yuan Wang, Peigang Ji, Shaochun Guo, Yulong Zhai, Na Wang, Miao Lou, Meng Xu, Min Chao and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

16 authors at 3 institutions in 1 country.

Jinghui LiuDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Chen LiDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yuan WangDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Peigang JiDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Shaochun GuoDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yulong ZhaiDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Na WangDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Miao LouDepartment of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Meng XuDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Min ChaoDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yang JiaoDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Wenjian ZhaoDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Fuqiang FengDepartment of Neurosurgery, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Yan QuDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Shunnan GeDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Liang WangDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Air Force Medical University · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) is the most common primary malignant intracranial tumor and the median age at diagnosis is 65 years. However, elderly patients are usually excluded from clinical studies and age is considered as an independent negative prognostic factor for patients with GBM. Therefore, the best treatment method for GBM in elderly patients has remained controversial. Elderly GBM patients (≥ 60 years old) treated between January 2015 and December 2019 were enrolled in this study. Medical records were reviewed retrospectively, and clinicopathological characteristics, treatments, and outcomes were analyzed. A total of 68 patients were included, with a median age of 65.5 years (range: 60-79). The median preoperative Karnofsky performance scale (KPS) score was 90 (range 40-100) and median postoperative KPS score was 80 (range 0-90). Univariate analysis results showed that age, gender, comorbidities, preoperative KPS < 90 and MGMT promoter methylation were not significantly associated with PFS and OS. On the other hand, total resection, postoperative KPS ≥ 80, Ki67 > 25%, and Stupp-protocol treatment were significantly associated with prolonged PFS and OS. Moreover, multivariate analysis found that postoperative KPS ≥ 80, total resection, and Stupp-protocol treatment were prognostic factors for PFS and OS. The findings of this study have suggested that, on the premise of protecting function as much as possible, the more aggressive treatment regimens may prolong survival for elderly patients with GBM. However, further studies, particularly prospective randomized clinical trials, should be conducted to provide more definitive data on the appropriate management of elderly patients, especially for patients with MGMT promoter methylation.

Indexed as

elderlyextent of resection (EOR)glioblastomaKarnofsky performance scale scoreprognosis (carcinoma)

Identifiers

PMID35173600
PMCPMC8841486
OpenAlexW4210692385

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.