Management of pott’s puffy tumor: a Delphi-method international clinical consensus statement
Bibliographic record
Abstract
PURPOSE: Pott's puffy tumor (PPT) is a rare and complex condition that requires a comprehensive diagnostic approach and multi-faceted treatment strategy. It is associated with a significant risk of intracranial complications. The purpose of this clinical consensus statement (CCS) is to systematically assess diagnostic and therapeutic approaches of patients with PPT, using the best available evidence and expertise of the panel. The results and recommendations are intended to support clinicians in making informed decisions when managing patients with PPT and to standardize diagnostic, antibiotic, and surgical management across institutions. This consensus also aimed to provide a basis for a subsequent international prospective registry to inform data-driven care. METHODS: A literature review was performed via PubMed, and an international panel of 23 experts judged 33 statements in two rounds using a modified Delphi method survey to establish expert recommendations on the diagnostic considerations, medical and surgical management, and postoperative considerations. Strong consensus was defined by a mean score of ≥ 8.00 with no outliers, and consensus by a mean score of ≥ 7.00 with no more than 1 outlier. RESULTS: A strong consensus was reached on important aspects of the diagnosis and treatment of patients with PPT. Most pivotal are the importance of urgent imaging, imaging of the brain with a preference of MRI, the importance of broad spectrum intravenous antibiotic treatment, and the goal of surgery - resolution of the periosteal abscess and clearance of the frontal sinus drainage pathway - which can be established in various ways and is case and surgeon dependent. CONCLUSION: In patients with PPT, a high index of suspicion of intracranial complications is important to prevent any delay in treatment initiation. The recommendations formulated in this international consensus statement aim to improve the diagnosis and care for patients with PPT and to address gaps and uncertainties in current guidelines. Items that did not reach consensus may serve as areas for further research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.184 | 0.186 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".