MétaCan
Menu
Back to cohort
Record W4408237858 · doi:10.21037/med-24-29

Etiology, diagnosis, and management of descending necrotizing mediastinitis: a narrative review

2025· review· en· W4408237858 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMediastinum · 2025
Typereview
Languageen
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsLondon Health Sciences CentreVictoria HospitalWestern University
Fundersnot available
KeywordsMediastinitisEtiologyNarrativeMedicineIntensive care medicineGeneral surgeryPathologySurgeryLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.383
Teacher spread0.337 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it