The utility of patient-specific surgical plates in free flap mandibular reconstruction: A systematic review and meta-analysis
Bibliographic record
Abstract
• PSSPs improve mandibular reconstruction accuracy. • Meta-analysis shows reduced intercondylar and intergonial distance deviations. • PSSPs shorten operative time by over an hour in mandibular reconstruction. • PSSPs offer similar complication rates and hospital stay as conventional methods. To evaluate the accuracy and clinical outcomes using patient-specific surgical plates (PSSPs) in mandibular reconstruction. MEDLINE, EMBASE, Scopus, and Web of Science were searched. Study, patient, PSSP characteristics, and clinical outcomes from eligible studies were extracted using a standardized form. The risk of bias was assessed using the Cochrane Risk of Bias tool. Statistical significance for descriptive variables was evaluated using a t -test and chi-square tests. Common and random effects models were used for the meta-analysis. Inter-study heterogeneity was tested using the I 2 test. Our search strategy yielded 1238 records, 12 of which met our eligibility criteria. Overall, the included studies provided a pooled participant size of 585 patients, of which 260 were in the intervention group, and 325 were in the control group. In our meta-analysis, PSSPs were associated with significantly lower intercondylar distance deviation (MD −2.15, 95% CI: −2.81 to −1.49) and intergonial distance deviation (MD −3.62, 95% CI: −6.77 to −0.47). However, the intercondylar angle deviation did not differ between PSSPs and controls. In addition, PSSPs may lead to shorter operative times (MD −77.18 min, 95% CI: −101.99 to −52.36) without significant differences in the length of hospital stay or the rates of postoperative complications. Our results indicate that PSSPs have the potential to improve clinical outcomes in mandibular reconstruction, particularly in reducing operative times and improving reconstruction accuracy. However, moderate-to-high heterogeneity and a high risk of bias underscore the need for further research, especially randomized controlled trials, for a more robust analysis.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.043 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".