Evidence map›Paper›PMID 36756387›Full record

ArticleComputational and mathematical methods in medicine2023

Prognostic Factors of Gliosarcoma in the Real World: A Retrospective Cohort Study.

Ziye Yu, Zhirui Zhou, Ming Xu, Kun Song, Jingjing Shen, Wenhao Zhu, Liqun Wei, Hongzhi Xu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. Review
  6. Prognostic Factors of Gliosarcoma in the Real World: A Retrospective Cohort Study.Computational and mathematical methods in medicine · 2023
    Article
  7. 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

8 authors at 1 institution in 1 country.

Ziye YuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 200040, China.ORCID https://orcid.org/0000-0002-8253-1002
Zhirui ZhouDepartment of Radiotherapy, Huashan Hospital, Fudan University, 200040, China.
Ming XuDepartment of Anesthesiology, Huashan Hospital, Fudan University, 200040, China.
Kun SongDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 200040, China.
Jingjing ShenDepartment of Anesthesiology, Huashan Hospital, Fudan University, 200040, China.
Wenhao ZhuDepartment of Anesthesiology, Huashan Hospital, Fudan University, 200040, China.
Liqun WeiDepartment of Anesthesiology, Huashan Hospital, Fudan University, 200040, China.
Hongzhi XuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, 200040, China.ORCID https://orcid.org/0000-0002-8792-1704
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Gliosarcoma is a histopathological variant of glioblastoma, which is characterized by a biphasic growth pattern consisting of glial and sarcoma components. Owing to its scarcity, data regarding the impact of available treatments on the clinical outcomes of gliosarcoma are inadequate. The purpose of this retrospective cohort study was to analyze the prognostic factors of gliosarcoma. Methods: By screening the clinical database of neurosurgical cases at a single center, patients with gliosarcoma diagnosed histologically from 2013 to 2021 were identified. Clinical, pathological, and molecular data were gathered founded on medical records and follow-up interviews. Prognostic factors were derived using the Cox proportional hazards model with backward stepwise regression analysis. Results: Forty-five GSM patients were included. Median overall survival was 25.6 months (95% CI 8.0-43.1), and median relapse-free survival was 15.2 months (95% CI 9.7-20.8). In multivariable analysis, total resection ( Conclusion: This single-center retrospective study with a limited cohort size has demonstrated the treatment of gross total resection and low expression of Ki-67 which are beneficial for patients with GSM, while radiotherapy or temozolomide is not.

Indexed as

Brain NeoplasmsGlioblastomaGliosarcomaHumansKi-67 AntigenNeoplasm Recurrence, LocalPrognosisRetrospective StudiesTemozolomideKi-67 AntigenTemozolomide

Identifiers

PMID36756387
PMCPMC9902117
OpenAlexW4318566962

What OpenQuestion holds

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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.