Evidence map›Paper›PMID 41728460›Full record

ArticleCureus2026

Intramedullary Gas Detected on Computed Tomography in Cases of Decompression Sickness: A Case Series.

Tomoko Sugimura, Nanae Tsuchiya, Takumi Chinen, Akihiro Nishie, Takehiro Umemura

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Tomoko SugimuraDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Ginowan, JPN.
Nanae TsuchiyaDepartment of Radiology, Graduate School of Medicine, University of the Ryukyus, Ginowan, JPN.
Takumi ChinenDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Ginowan, JPN.
Akihiro NishieDepartment of Radiology, Graduate School of Medicine, University of the Ryukyus, Ginowan, JPN.
Takehiro UmemuraDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Ginowan, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decompression sickness (DCS) is caused by nitrogen gas bubbles in the blood that lead to bubble embolization and tissue compression. Intramedullary gas bubbles may also be observed; however, their clinical significance remains unclear. Herein, we describe our experiences with three cases that experienced DCS in which intramedullary gas bubbles were incidentally discovered on computed tomography (CT) performed before treatment. Case 1 involved a 28-year-old male who had repeatedly dived to 30 m and surfaced. After diving, the patient experienced pain in the left lower extremity. CT revealed bubbles in the right atrium, hip joint, and humeral marrow cavity. Case 2 was a 55-year-old male who had dived for 25 min to a maximum depth of 42 m. Thirty minutes after diving, the patient experienced nausea and thigh pain. CT revealed bubbles in the brachiocephalic vein, pulmonary artery, femoral vein, intrahepatic portal vein, and the femoral bone marrow cavity. Case 3 was a 52-year-old female who dived to 50 m before abruptly surfacing. Subsequently, the patient experienced dizziness and nausea. CT revealed bubbles in the mediastinum, intrahepatic portal vein, femoral vein, and brachial bone marrow cavity. These findings demonstrate that gas bubbles may be observed within the bone marrow on CT scans of patients with mild cases of DCS.

Indexed as

computed tomographydecompression sicknessintramedullary bubblesintramedullary gasmarrow bubbles

Identifiers

PMID41728460
PMCPMC12920035

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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.