Evidence map›Paper›PMID 39712764›Full record

ArticleCureus2024

Zap-X Radiosurgery System: Initial Clinical Experience in a Recurrent Gamma Knife Case Series.

Ayako Horiba, Motohiro Hayashi, Takashi Maruyama, Ryutaro Nomura, Phyo Kim, Takakazu Kawamata

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ayako HoribaDepartment of Neurosurgery, Tokyo Women's Medical University, Tokyo, JPN.
Motohiro HayashiDepartment of Neurosurgery, Tokyo Women's Medical University, Tokyo, JPN.
Takashi MaruyamaDepartment of Neurosurgery, Utsunomiya Brain and Spine Center, Utsunomiya, JPN.
Ryutaro NomuraDepartment of Neurosurgery, Kamiyacho Neurosurgical Clinic, Tokyo, JPN.
Phyo KimDepartment of Neurosurgery, Utsunomiya Brain and Spine Center, Utsunomiya, JPN.
Takakazu KawamataDepartment of Neurosurgery, Tokyo Women's Medical University, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe ZAP-X® Gyroscopic Radiosurgery System (ZAP Surgical Systems, Inc., San Carlos, CA, USA) is expected to be a highly accurate next-generation treatment system that enables gyro-stereotactic irradiation of intracranial lesions. In this study, we report the initial treatment course using ZAP-X for intracranial lesions that recurred after Gamma Knife (GK) treatment.

methodsPatients with intracranial tumors treated with ZAP-X from April to August 2023 who relapsed after GK therapy were eligible for participating in this study. The primary endpoint was the progression control rate at six months; the secondary endpoints were the rate of target lesion reduction, treatment effect by tumor doubling time (TDT) before ZAP-X intervention, and adverse events.

resultsSix lesions were evaluated in six patients (two meningiomas, one solitary fibrous tumor, one auditory neuroma, one glomus tumor, and one metastatic tumor). The mean follow-up period was 10.6 months after treatment. The mean lesion volume was 5.3 cm

conclusionsThe initial results of ZAP-X treatment in patients with recurrent disease following GK are reported for the first time. ZAP-X demonstrated potent anti-tumor efficacy and adequate tolerability and should be considered a new treatment option for relapsed refractory patients. Future studies should increase the number of cases and follow-up periods to further evaluate treatment outcomes and adverse events.

Indexed as

gamma knifeneuro oncologyrecurrencestereotactic radiosurgery srszap-x

Identifiers

PMID39712764
PMCPMC11660191

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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.