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Orthodontic Retainer Failure Deck

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placeAE home_workTélétravail assignmentCDD publicOffre agrégée · AE

eventPubliée le 16 oct. 2026 · verifiedNous avons confirmé le 16 oct. 2026 qu'elle est toujours active

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US$ 10 – US$ 30 par projet

À propos de l'offre

I need an evidence-driven PowerPoint that I can present to fellow dental professionals, summarising the current research on orthodontic retainer failure and subsequent relapse. The deck should read like a concise literature review, moving from etiology through risk factors and population statistics, then closing with practical, data-supported preventive measures we can adopt chairside. Content depth • Reference recent peer-reviewed studies (preferably within the last five years) and cite them on each relevant slide. • Separate mandibular and maxillary data where the literature makes that distinction. • Highlight clinically significant statistics in clear infographics or concise data tables. • When discussing preventive protocols, emphasise chairside feasibility and patient-compliance considerations. Tone & style Keep the language professional yet accessible to a mixed room of orthodontists, general dentists, and postgraduate residents. Visual hierarchy is important: main statements up top, supporting data below, minimal text per slide. Thoughtful use of colour and iconography is welcome as long as it stays consistent with a medical-academic aesthetic. Deliverables • Editable .pptx file (16:9 format) • Separate folder with all high-resolution images and graphs used • Reference list in APA or Vancouver style (your choice, just stay consistent) Acceptance criteria 1. At least 20 fully designed slides. 2. Minimum of ten distinct, properly cited research sources. 3. All charts and graphs are editable in PowerPoint (not flattened images). 4. Final file passes a brief plagiarism check on textual content. If you have orthodontic or dental writing experience, let me know in your bid; otherwise, show me a sample of similar scientific decks you’ve created so I can gauge formatting and data-visualisation skills.

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