ReviewMediastinum (Hong Kong, China)2025
Etiology, diagnosis, and management of descending necrotizing mediastinitis: a narrative review.
Review in Mediastinum (Hong Kong, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
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Who cites it
5 citing papers in PubMed.
- A bibliometric analysis of research trends in mediastinitis: a rare, high mortality, and complex infectious disease.Journal of thoracic disease · 2026Article
- Endoscopic transcervical mediastinal drainage for treating descending necrotizing mediastinitis.BMC surgery · 2026Observational
- Improved surgical outcomes and predictors of prolonged hospitalization in descending necrotizing mediastinitis: A 20-Year retrospective study.General thoracic and cardiovascular surgery · 2026Article
- Prognostic drivers beyond anatomy: towards tailored surgical management in descending necrotizing mediastinitis.Updates in surgery · 2026Article
- Acute mediastinitis, mediastinal granuloma, and fibrosing mediastinitis: a narrative review.Mediastinum (Hong Kong, China) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Descending necrotizing mediastinitis (DNM) is a severe and life-threatening infection that originates from oropharyngeal or cervical infections and spreads downward into the mediastinum. Despite advancements in medical and surgical treatments, DNM remains a condition with high morbidity and mortality. This narrative review aims to summarize the etiology, diagnostic strategies, and management approaches for DNM, emphasizing the importance of a multidisciplinary approach. Methods: A comprehensive literature search was conducted using PubMed/MEDLINE, Western University Libraries, and Google Scholar databases, without restriction on publication date. Articles were included if they discussed: (I) the etiology of mediastinitis, focusing on anatomy and pathogens; (II) the diagnosis of DNM; and (III) the treatment and surgical approach to mediastinitis. Key Content and Findings: DNM is commonly caused by oropharyngeal infections that spread downward through normal anatomical pathways. Diagnosis is challenging due to the subtle and varied presentation of symptoms. Diagnosis is primarily made with contrast-enhanced CT scans of the neck and thorax, but a convincing history should prompt appropriate suspicion and concern. Management requires a multidisciplinary approach, including sepsis management particularly with broad-spectrum antibiotics and early surgical intervention for source control. The choice of surgical technique, whether transcervical, thoracotomy, or video-assisted thoracoscopic surgery (VATS), is crucial for effective drainage and reducing mortality. Conclusions: DNM is a complex and critical condition that demands prompt recognition and aggressive treatment. The high mortality associated with DNM underscores the need for a multidisciplinary approach. Surgical drainage, tailored to the extent of the infection, and comprehensive post-operative care are essential for improving patient outcomes. Future research should focus on optimizing diagnostic criteria, refining surgical techniques, and exploring adjunct therapies to further reduce morbidity and mortality in DNM.
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Registered trials
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.