Evidence map›Paper›PMID 41450396›Full record

ArticleCureus2025

Anesthetic Management for Giant Abdominal Paraganglioma Resection in a Patient After Extracorporeal Membrane Oxygenation: A Case Report.

Ying Gao, Xu Zhou, Ouyue Zhong, Wei Wu

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

4 authors.

Ying GaoDepartment of Anesthesiology, The General Hospital of Western Theater Command, Chengdu, CHN.
Xu ZhouDepartment of Anesthesiology, The General Hospital of Western Theater Command, Chengdu, CHN.
Ouyue ZhongDepartment of Anesthesiology, The General Hospital of Western Theater Command, Chengdu, CHN.
Wei WuDepartment of Anesthesiology, The General Hospital of Western Theater Command, Chengdu, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paraganglioma (PGL) is a rare neuroendocrine tumor that poses significant challenges to anesthetic management during surgical resection. In rare instances, PGL can precipitate a catecholamine crisis, potentially leading to heart failure, intracranial hemorrhage, renal failure, arrhythmias, pulmonary edema, and multisystem organ failure. We report a case of a 53-year-old male with a history of poorly controlled hypertension who was admitted for chest pain and initially diagnosed with non-ST-elevation myocardial infarction (NSTEMI). Coronary angiography revealed no abnormalities. Subsequently, the patient experienced cardiac arrest. Despite aggressive resuscitation, persistent hypoxemia necessitated extracorporeal membrane oxygenation (ECMO) support. Abdominal CT revealed a large retroperitoneal mass suggestive of PGL. Following active resuscitation, the patient was successfully weaned from ECMO. After thorough preoperative optimization and multidisciplinary collaborative surgery with precise anesthetic management, the tumor was successfully resected. This case demonstrates that for patients with PGL experiencing heart failure secondary to catecholamine crisis, tumor resection under general anesthesia can be safely performed after thorough preoperative preparation. Furthermore, this rare case highlights the need for clinicians to consider the possibility of a PGL-induced catecholamine crisis in patients admitted with chest pain, acute myocardial infarction, or acute heart failure.

Indexed as

case reportcatecholamine crisisextracorporeal membrane oxygenationgeneral anesthesiaparaganglioma

Identifiers

PMID41450396
PMCPMC12730518

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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.