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March 27, 2026Periodontology 20002 citationsOpen Access

Long‐term outcomes of lateral sinus floor elevation: A machine‐learning analysis, systematic review, and meta‐analysis of predictive factors

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HSHamoun SabriMSMuhammad H. A. SalehPNPaolo Nava

Key Points

  • The aim is to quantify the long-term survival rates of implants after lateral sinus floor elevation and identify clinical predictors.
  • Conducted a systematic search through MEDLINE, Embase and Scopus.
  • Included randomized trials and studies with at least 10 patients and 5-year follow-up.
  • Performed random-effects meta-analysis and mixed-effects meta-regression.
  • Utilized a MetaForest machine-learning model to identify predictive factors.
  • Pooled long-term survival rate was 95.8% over 5-13 years.
  • Lower survival associated with graftless procedures compared to various grafts.
  • Residual bone height (RBH) < 4 mm and smoking were significant negative predictors of survival.
  • Most implant failures occurred within the first year and nearly all by year 5.

Abstract

Abstract Objectives To quantify long‐term (≥ 5 years) implant survival after lateral sinus floor elevation (LSFE) and to identify clinical predictors of long‐term survival using conventional and machine‐learning meta‐analytic techniques. Methods A systematic search was conducted through MEDLINE, Embase and Scopus. Randomized trials, prospective or retrospective studies with ≥ 10 patients and ≥ 5‐year follow‐up were eligible. Risk of bias was assessed with RoB‐2 (RCTs) and the Newcastle–Ottawa Scale (observational studies); certainty of evidence was graded with GRADE approach. A multilevel random‐effects meta‐analysis (logit‐transformed proportions) estimated pooled survival while accounting for clustering of multiple implants per patient. Moderator effects were explored by mixed‐effects meta‐regression. A MetaForest machine‐learning model examined non‐linear interactions among predictive factors. Results Thirty‐two studies (48 cohorts) involving 7,902 implants and ≈ 2,800 patients met the criteria (3 RCTs, 7 prospective non‐randomized, and 22 retrospective studies; follow‐up 5–13 years). Pooled long‐term survival was 95.8 % (95 % CI: 94.5–96.8 %); Heterogeneity was substantial (I² = 82.8 %) but fell to 53.2 % in MetaForest residuals. Meta‐regression identified lower survival with Graftless procedures versus allografts(β = 1.11, p = 0.016), autografts(β =2.40, p = 0.005), Xenografts(β =1.53, p = 0.04), Xenografts+Allografts(β =1.55, p = 0.04) and Xenografts+Autografts(β =1.82, p = 0.03) with no significant difference versus Alloplasts. Residual bone height (RBH) < 4 mm (β = –0.53, p = 0.039) as well as smoking prevalence (1.96 % per 10 % increase, p = 0.009) reduced survival. MetaForest ranked smoking, age, RBH, follow‐up duration and membrane use as the principal predictors; barrier membranes mitigated the negative effect in smokers and in low‐RBH sites. Time‐to‐failure analysis of 205 failed implants showed 59 % of losses within the first year and 96 % by year 5. Overall certainty of evidence was low. Conclusions Implants placed after LSFE exhibit high 5–13‐year survival (96 %). Use of bone graft materials and their mixtures yield more favorable outcomes compared to Graftless protocol, whereas RBH < 4 mm and smoking significantly impair implant survival. Barrier‐membrane coverage is advisable for smokers and short‐RBH sites. Despite the long‐term nature of this review (≥5 years of follow‐up), most failures occur within the first three years of function, underscoring the need for intensified monitoring during this early phase.

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Cite This Study

Sabri et al. (2026) studied this question.

synapsesocial.com/papers/69c6209315a0a509bde191c3https://doi.org/10.1111/prd.70028
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