Evidence map›Paper›PMID 42856975›Full record

ArticleNeuro-oncology advances

Value-based assessment of repeat surgery for recurrent glioma: A real-world quality-adjusted survival analysis.

Wanyu Qiao, Chen Luo, Tian Gan, Shuai Wu, Xian Xie, Jinsong Wu, Hugues Duffau, Jie Zhang, Ye Yao

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Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wanyu QiaoDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai.
Chen LuoGlioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai.ORCID https://orcid.org/0000-0002-0344-1624
Tian GanDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai.
Shuai WuGlioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai.
Xian XieDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai.
Jinsong WuGlioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai.
Hugues DuffauDepartment of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier.ORCID https://orcid.org/0000-0002-6558-2342
Jie ZhangGlioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai.ORCID https://orcid.org/0000-0002-6805-8474
Ye YaoDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai.ORCID https://orcid.org/0000-0002-0878-8942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reoperation for recurrent glioma is widely practiced, yet clinical decision-making remains challenging due to substantial trade-offs between survival gain and postoperative functional burden. High-quality real-world evidence integrating survival and quality-of-life outcomes to inform reoperation decisions remains limited. Methods: We conducted a retrospective real-world cohort study of 1304 patients with recurrent glioma treated between 2010 and 2018. Propensity score matching was applied to balance baseline characteristics. Survival outcomes, quality-adjusted life years (QALYs), functional status, and prognostic factors associated with reoperation benefit were evaluated. Results: In the 1:1 propensity-matched cohort (140 reoperation vs 140 non-reoperation), reoperation was associated with a mean gain of 9.6 months in quality-adjusted life years (QALYs) and a 521-day longer overall survival. Postoperative functional status showed short-term improvement. In the glioblastoma subgroup, reoperation was associated with a numerical gain of 3.5 QALY months, although the confidence interval crossed zero, alongside a 218-day gain in overall survival. Predictive models based on preoperative characteristics demonstrated good discrimination in identifying patients likely to derive survival benefit beyond 6 months. Conclusion: This study provides real-world evidence that carefully selected patients with recurrent glioma may derive quality-adjusted survival benefits from reoperation, thereby supporting individualized surgical decision-making. These findings have implications for value-based surgical decision-making in recurrent glioma, particularly in healthcare systems where balancing survival benefit against functional outcomes and resource use is increasingly important.

Indexed as

gliomalogistic modelsquality of lifereoperationsurvival analysis

Identifiers

PMID42856975
PMCPMC13649579

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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.