Port-Wine Stains’ Orodental Manifestations and Complications: A Systematic Review
Bibliographic record
Abstract
Background/Objectives: Port-wine stains (PWSs), also known as naevus flammeus or capillary malformations, are congenital cutaneous lesions, typically located in the head/neck area. The manifestations of PWSs include aesthetic and functional impairments due to soft and hard tissue modifications. Sturge–Weber syndrome is characterised by additional neuro-ocular manifestations. This systematic review aimed to identify and overview the orodental manifestations of PWSs. Methods: Several databases (PubMed, Web of Science, Scopus, Embase, Cochrane Library) were searched using keywords for PWSs and oral and dental manifestations. The results were centralised, deduplicated, and selected in a two-step sequence. Data were extracted using pre-defined extraction forms and represented graphically and tabulated. The Newcastle–Ottawa and Joanna Briggs Institute scales were used for quality assessment. Results: Out of 884 results, 43 studies were selected for inclusion. Eleven studies investigated patients diagnosed with PWSs, while thirty-two studies investigated SWS patients. Regarding study designs, eight studies were retrospective, one was cross-sectional, two were case series, and thirty-two were case reports. The most frequently mentioned manifestations were gingival hypertrophy, lip hypertrophy, mucosal or gingival staining, malocclusion, gingivitis or gingival bleeding, and facial asymmetry. Conclusions: Due to the rarity of this pathology, the orodental manifestations of PWSs are not widely known to dentists. Soft tissue hypertrophy, malocclusion, and bony hypertrophy are significant concerns that need to be addressed during treatment.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".