Evidence map›Paper›PMID 41112844›Full record

ReviewFrontiers in dental medicine2025

Biomechanical considerations in RPD design: application and perspective of finite element method in distal extension removable partial denture rehabilitation.

Yixuan Zhu, Jiangqi Hu, Bin Luo, Yafei Yuan, Qingsong Jiang

Abstract readReview
In one paragraph

Review in Frontiers in dental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yixuan ZhuSchool of Stomatology, Capital Medical University, Beijing, China.
Jiangqi HuDepartment of Prosthodontics, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Bin LuoDepartment of Prosthodontics, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Yafei YuanDepartment of Prosthodontics, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.
Qingsong JiangDepartment of Prosthodontics, Beijing Stomatological Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Removable partial dentures (RPDs) remain a widely used and cost-effective solution for patients with dentition defects. However, their long-term success, particularly in distal extension cases, depends heavily on biomechanical performance. Finite element analysis (FEA) has emerged as a valuable tool for evaluating stress distribution and guiding RPD design. This review synthesizes FEA-based insights into key biomechanical parameters-including abutment selection, clasp geometry, rest position, major connector stiffness, and material properties-with a particular focus on Kennedy Class I and II scenarios, and special attention to implant-supported RPDs (ISRPDs). Recent developments in digital workflows, such as intraoral scanning and CAD/CAM fabrication, have further enabled personalized modeling and rapid optimization. In addition, the integration of artificial intelligence (AI) with FEA shows promises in automating framework generation, predicting stress outcomes, and supporting closed-loop design optimization. While these technologies offer exciting potential, current models still lack integration of patient-specific factors such as mucosal properties, saliva, and gag reflex, contributing to discrepancies between simulations and clinical outcomes. Bridging this gap through improved modeling and data-driven approaches will be key to delivering personalized, biomechanically optimized RPD solutions.

Indexed as

artificial intelligence (AI)biomechanicsdigital dentistryfinite element analysis (FEA)removable partial denture (RPD)

Identifiers

PMID41112844
PMCPMC12531227

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.