Evidence map›Paper›PMID 42271398›Full record

ArticleBMC oral health2026

A growth-adjusted digital prosthetic protocol for a child with X-linked hypohidrotic ectodermal dysplasia: a 5-year longitudinal clinical report.

Rui Xie, Tiankai Di, Luming Hai, Taoyun Xu, Lulu Wang, Yujiang Chen, Li-An Wu

Abstract readCase Reports
In one paragraph

Article in BMC oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rui Xie *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Digital Dentistry Center, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, China.
Tiankai Di *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P. R. China.
Luming HaiDepartment of Dermatology, Xijing Hospital, the Fourth Military Medical University, Xi'an, 710032, P. R. China.
Taoyun XuState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Department of Oral Biology, Clinic of Oral Rare and Genetic Diseases, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, China.
Lulu WangState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P. R. China.
Yujiang ChenState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P. R. China. chenyj@fmmu.edu.cn.
Li-An WuState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P. R. China. lianwu@fmmu.edu.cn.

Funding

Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University 2024LHM-KFKT001National Clinical Research Center for Oral Diseases LCB202404National Natural Science Foundation of China 82100954Natural Science Foundation of Inner Mongolia Autonomous Region 2023QN08026
6 · The paper itself

Abstract

A four-year-old boy with X-linked hypohidrotic ectodermal dysplasia (XLHED) presented with complete anodontia, severe esthetic concerns, and functional limitations. The treatment plan aimed to provide both functional restoration and esthetic improvement, utilizing a fully digital workflow. After a comprehensive clinical and radiographic evaluation, digital cast scanning and 3D analysis were used to create a precise virtual plan for the fabrication of a customized complete denture. The initial dentures were followed by regular follow-up visits at 6-month intervals, with the patient returning for adjustments to accommodate his rapid growth. Over a five-year period of follow-up, the child received updated dentures as his facial and oral structures developed. This approach not only restored the boy's masticatory, speech, and esthetic functions but also allowed for continuous adaptation of the prostheses as the child grew. This report contributes to the existing literature by introducing a reproducible, quantitative workflow. Unlike purely descriptive digital denture reports, this protocol integrates a quantitative segmented morphometric analysis into a fully digital workflow to support objective, growth‑oriented clinical decision‑making, particularly in distinguishing between conservative relining and the need for complete prosthesis refabrication.

Indexed as

AnodontiaDenture, CompleteDenture DesignEctodermal Dysplasia 1, AnhidroticChild, PreschoolEsthetics, DentalHumansImaging, Three-DimensionalLongitudinal StudiesMale3D printingDigital complete denturePediatric dentistryX-linked hypohidrotic ectodermal dysplasia

Identifiers

PMID42271398
PMCPMC13520320

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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.