Evidence map›Paper›PMID 42245936›Full record

ArticleFrontiers in medicine2026

From shadows to light: navigating the rare complication of cerebral air embolism from a case report.

Ying Zhu, Guanghao Liao, Liu Yang, Han Duan, Qi Zhu, Huang Fang

Abstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2026. 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

6 authors.

Ying Zhu *Department of Neurology, General Hospital of Central Theater Command of People's Liberation Army Graduate Joint Training Base, School of Medicine, Wuhan University of Science and Technology, Wuhan, China.
Guanghao Liao *Department of Neurology, General Hospital of Central Theater Command of People's Liberation Army, Wuhan, China.
Liu Yang *Department of Neurology, General Hospital of Central Theater Command of People's Liberation Army, Wuhan, China.
Han DuanDepartment of Neurology, General Hospital of Central Theater Command of People's Liberation Army, Wuhan, China.
Qi ZhuDepartment of Neurology, General Hospital of Central Theater Command of People's Liberation Army, Wuhan, China.
Huang FangDepartment of Neurology, General Hospital of Central Theater Command of People's Liberation Army Graduate Joint Training Base, School of Medicine, Wuhan University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a female patient who underwent computed tomography (CT)-guided percutaneous lung biopsy due to a right lung mass. After the procedure, she developed impaired consciousness. Non-contrast cranial CT revealed small intracranial air bubbles. Diffusion-weighted magnetic resonance imaging showed multiple acute cerebral infarctions. Whole-brain angiography did not reveal any major vessel occlusion. She was diagnosed as iatrogenic cerebral air embolism. After admission, she received intensive treatment including 100% oxygen inhalation and hyperbaric oxygen therapy. Eventually, she regained consciousness and was discharged successfully. Cerebral air embolism is a rare but severe complication of percutaneous lung biopsy with a generally poor prognosis. Clinicians should maintain a high index of suspicion for this condition in patients presenting with acute neurological deficits after lung biopsy. Hyperbaric oxygen therapy demonstrates significant neuroprotective effects and improves clinical outcomes.

Indexed as

case reportcerebral air embolismcerebral infarctionhyperbaric oxygen therapylung biopsy

Identifiers

PMID42245936
PMCPMC13229863

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.