Evidence map›Paper›PMID 41777593›Full record

ArticleInterventional radiology (Higashimatsuyama-shi (Japan)2025

Computed Tomography Fluoroscopy-guided Transpulmonary Drainage of Pulmonary Abscess in an Extremely Preterm Infant.

Ken Kageyama, Tatsuo Nakaoka, Reiko Kato, Satoshi Ohnishi, Emi Tanaka, Miho Nonomura, Akira Yamamoto, Yukio Miki

Abstract readCase Reports
In one paragraph

Article in Interventional radiology (Higashimatsuyama-shi (Japan), 2025. 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

8 authors.

Ken KageyamaDepartment of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Tatsuo NakaokaDepartment of Pediatric Surgery, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Reiko KatoDepartment of Pediatric Surgery, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Satoshi OhnishiDepartment of Pediatrics, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Emi TanakaDepartment of Pediatrics, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Miho NonomuraDepartment of Pediatrics, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Akira YamamotoDepartment of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Japan.
Yukio MikiDepartment of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this case report, we describe a successful computed tomography fluoroscopy-guided percutaneous transpulmonary drainage of a pulmonary abscess in an extremely preterm infant (weight, 2,081 g). A male infant who was delivered at 25 weeks of gestation developed a primary pulmonary abscess 6 weeks after birth. The abscess was initially treated with antibiotics, which were ineffective, and the abscess enlarged. Computed tomography fluoroscopy-guided transpulmonary drainage was then performed under general anesthesia without breath-holding, and was successful. The drainage procedure was minimally invasive, reducing the size of the abscess, and the infant recovered fully with no recurrence at follow-up. This report is the first to demonstrate the effectiveness of computed tomography fluoroscopy-guided transpulmonary drainage for managing a pulmonary abscess in an extremely preterm infant.

Indexed as

antibiotic treatmentCT fluoroscopic-guided drainageextremely preterm infantpulmonary abscess

Identifiers

PMID41777593
PMCPMC12950955

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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.