Evidence map›Paper›PMID 41697534›Full record

ArticleJournal of neuro-oncology2026

Tumor treating fields for newly diagnosed glioblastoma: a retrospective analysis.

Chunyan Wang, Hao Xu, Yue Hu, Lange Ma, Qinglan Ren, Shengnan Yu

Abstract read
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In one paragraph

Article in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Chunyan Wang *Department of Oncology, Laboratory of Immunity, Inflammation & Cancer, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hao Xu *Department of Oncology, The Second People's Hospital of Banan District, Chongqing, 400054, China.
Yue HuDepartment of Oncology, Laboratory of Immunity, Inflammation & Cancer, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lange MaDepartment of Oncology, Laboratory of Immunity, Inflammation & Cancer, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qinglan RenDepartment of Oncology, Laboratory of Immunity, Inflammation & Cancer, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. renqlwu@163.com.
Shengnan YuDepartment of Oncology, Laboratory of Immunity, Inflammation & Cancer, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. 1334870996@qq.com.

Funding

National Natural Science Foundation of China 82203007Natural Science Foundation of Chongqing, China CSTB2024NSCQ-MSX0174
6 · The paper itself

Abstract

introductionTumor Treating Fields (TTFields), as an emerging non-invasive therapeutic approach, has gradually demonstrated its potential as an adjuvant therapy in cancer treatment in recent years. Currently, TTFields has become an important adjunct to the standard treatment of glioblastoma (GBM). Real-world data on its clinical application, outcomes, and prognostic factors hold significant value for optimizing clinical practice. This study aims to evaluate the actual effectiveness of TTFields in treating GBM by providing clinical data and exploring potential clinical factors that may influence its efficacy.

methodsThis study is a retrospective cohort study that included 40 newly diagnosed glioblastoma (ndGBM) patients received TTFields treatment based on the Stupp regimen. Additionally, 48 ndGBM patients who did not receive TTFields treatment during the same period were selected as the control group through continuous sampling. Kaplan-Meier curves were employed to estimate the overall survival (OS) and progression-free survival (PFS) in both groups. To identify factors affecting these outcomes and the efficacy of TTFields, a Cox regression analysis was subsequently performed on various clinical variables.

resultsPatients receiving the TTFields demonstrated superior median PFS (12.0 months, 95%CI: 8.97-15.03) and OS (18.0 months, 95%CI: 13.65-22.35), versus 9.0 (95%CI: 7.06-10.94) and 12.0 (95%CI: 9.36-14.64) months in controls. Multivariate analysis showed that the extent of resection (P = 0.032, HR: 0.47, 95%CI: 0.24-0.94), the MGMT promoter methylation status (P = 0.024, HR: 0.51, 95%CI: 0.28-0.91) and whether accepted TTFields therapy (P = 0.022, HR: 0.50, 95%CI: 0.28-0.90) were independent prognostic factors affecting PFS. Additionally, patient compliance with TTFields therapy was significantly associated with their OS and PFS (OS: P = 0.004, HR: 0.12, 95%CI: 0.03-0.51; PFS: P = 0.007, HR: 0.24, 95%CI: 0.09-0.68). Further analysis revealed a certain relationship between the duration of TTFields therapy and survival. Comparative analysis revealed distinct survival outcomes based on treatment duration. The long-term (> 2 months) and short-term (≤ 2 months) TTFields groups had median OS of 21.0 (95%CI: 15.58-26.42) and 16.0 months (95%CI: 10.32-21.68) (P = 0.099), and median PFS of 20.0 (95%CI: 6.99-33.01) and 8.0 months (95%CI: 4.36-11.65) (P = 0.017), respectively, indicating a statistically significant PFS advantage for prolonged therapy.

conclusionsThe TTFields combined with Stupp regimen was associated with longer Survival outcome in patients with GBM. Additionally, higher patient compliance with TTFields treatment (≥ 0.81) and prolonged use of TTFields (> 2 months) are closely associated with improved prognosis.

Indexed as

Brain NeoplasmsElectric Stimulation TherapyGlioblastomaAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateGlioblastomaPrognostic factorTumor treating fields

Identifiers

PMID41697534

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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.