Evidence map›Paper›PMID 41613518›Full record

ArticleFrontiers in neurology

Return-to-fly after flow diversion for unruptured paraclinoid aneurysms in military pilots.

Hui Zhang, Cheng-Ye Zhang, Cheng-Cheng Zhao, Yan Zhou, Yu-Dong Ma

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Hui Zhang *Department of Neurosurgery, Air Force Medical Center of the PLA, Beijing, China.
Cheng-Ye Zhang *Department of Neurosurgery, Air Force Medical Center of the PLA, Beijing, China.
Cheng-Cheng ZhaoDepartment of Medical Identification, Air Force Medical Center of the PLA, Beijing, China.
Yan ZhouDepartment of Neurosurgery, Air Force Medical Center of the PLA, Beijing, China.
Yu-Dong MaDepartment of Neurosurgery, Air Force Medical Center of the PLA, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Advances in neuroimaging have increased detection of unruptured paraclinoid aneurysms among military pilots, a population subjected to unique environmental stressors that may elevate rupture risk. However, optimal management remains clinically uncertain. This study introduced the procedural safety, occlusion efficacy, and flight requalification outcomes following flow diversion (FD) treatment in this cohort. Methods: A retrospective review was conducted on military pilots who underwent FD treatment for unruptured paraclinoid aneurysms between 2019 and 2024. Demographic, aneurysm, and treatment data were collected. Outcomes included procedural success, occlusion status (assessed by the Modified O'Kelly-Marotta (OKM) scale), and flight requalification status. Results: Four pilots with five aneurysms underwent successful FD implantation. All achieved complete aneurysm occlusion (OKM-D) at 12-month follow-up without thromboembolic or hemorrhagic complications. Two high-performance fighter pilots initially received dual-seat restrictions before full clearance; one helicopter pilot and one transport aircraft pilot were cleared directly. All pilots successfully returned to flight duties, accumulating 80-200 safe flight hours post-treatment. Conclusion: FD treatment for unruptured paraclinoid aneurysms in military pilots is safe and effective, facilitating timely return to flight duty with appropriate aeromedical evaluation.

Indexed as

aviation medical certificationflow diversionmilitary pilotneurointerventionparaclinoid aneurysms

Identifiers

PMID41613518
PMCPMC12850388

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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.