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Record W4410997669 · doi:10.3390/jpm15060231

Comprehensive Management of Cocaine-Induced Midline Destructive Lesions: A Young-IfOS Consensus

2025· article· en· W4410997669 on OpenAlexaff
Alberto Maria Saibene, Letizia Nitro, Florent Carsuzaa, Mihaela Alexandru, Vincent Bedarida, Matteo Di Bari, L. Fath, Ainhoa García‐Lliberós, David Lobo, Antonino Maniaci, Thomas Radulesco, Leigh J. Sowerby, Neil Tan, Manuel Tucciarone, Clair Vandersteen, Valentin Favier, M. Fieux

Bibliographic record

VenueJournal of Personalized Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsWestern University
FundersUniversità degli Studi di Milano
KeywordsMedicineDelphi methodMultidisciplinary approachConsensus conferenceIntensive care medicineMedical physics

Abstract

fetched live from OpenAlex

Background: Recreational nasal cocaine use (RNCU) presents a significant challenge for rhinologists due to cocaine-induced midline destructive lesions (CIMDLs). This clinical consensus statement (CCS) offers guidelines for diagnosing, assessing, and managing both proven and suspected cases of CIMDL (including those without a prior RNCU history). It aims to support clinicians in addressing these complex cases effectively. Methods: An international, multidisciplinary panel of 18 specialists employed a three-round modified Delphi-method survey to evaluate statements covering CIMDL management issues such as definition, clinical evaluation and diagnosis, initial management approaches, and surgical management of complications and reconstructions. This study primarily targets otorhinolaryngologists. Results: Out of 44 evaluated statements, 20 achieved strong consensus, 20 reached consensus, 3 approached near-consensus, and 1 failed to achieve consensus. Consensus-covered areas included the definition of CIMDL, clinical evaluations, first-line management, and management of complications. However, reconstructive techniques remained a contentious topic. Conclusions: In the absence of extensive data, this CCS establishes a management framework for CIMDL, significantly bridging a knowledge gap. It highlights the need for standardized assessments, multidisciplinary cooperation, and customized follow-up care for patients with CIMDL. Considering the widespread use of cocaine, physicians should consistently consider the possibility of RNCU when encountering chronic inflammatory lesions in the sinonasal tract.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.363
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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