Evidence map›Paper›PMID 34887651›Full record

ArticleJournal of the California Dental Association2021

Advances in Tissue Engineering and Implications for Oral and Maxillofacial Reconstruction.

Caitlyn M McGue, Victoria A Mañón, Chi T Viet

Abstract read
In one paragraph

Article in Journal of the California Dental Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Current Trends and Innovations in Oral and Maxillofacial Reconstruction.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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

3 authors.

Caitlyn M McGueDepartment of oral and maxillofacial surgery at the Loma Linda University School of Dentistry.
Victoria A MañónDepartment of oral and maxillofacial surgery at the University of Texas Health Science Center at Houston School of Dentistry.
Chi T VietDepartment of oral and maxillofacial surgery at the Loma Linda University School of Dentistry.

Funding

The REASON Score: An Epigenetic And Clinicopathologic Score to Predict Risk of Poor Survival in Early Stage Oral Squamous Cell Carcinoma PatientsR01DE031395 · NIDCR · LOMA LINDA UNIVERSITY · PI Chi T. Viet · 2022 to 2026
$3.7M
Clinical study to evaluate the methylation signature of head and neck squamous cell carcinoma painK23DE030250 · NIDCR · LOMA LINDA UNIVERSITY · PI VIET, CHI T. · 2021 to 2025
$865k
NIDCR NIH HHS K23 DE030250NIDCR NIH HHS R01 DE031395
6 · The paper itself

Abstract

backgroundReconstructive surgery in the oral and maxillofacial region poses many challenges due to the complexity of the facial skeleton and the presence of composite defects involving soft tissue, bone and nerve defects.

methodsCurrent methods of reconstruction include autologous grafting techniques with local or regional rotational flaps or microvascular free flaps, allografts, xenografts and prosthetic devices.

resultsTissue engineering therapies utilizing stem cells provide promise for enhancing the current reconstructive options.

conclusionsThis article is a review on tissue engineering strategies applicable to specialists who treat oral and maxillofacial defects. PRACTICAL IMPLICATIONS: We review advancements in hard tissue regeneration for dental rehabilitation, soft tissue engineering, nerve regeneration and innovative strategies for reconstruction of major defects.

Indexed as

nerve regenerationoral and maxillofacial surgeryorganoidsreconstructive surgeryStem cellstissue engineering

Identifiers

PMID34887651
PMCPMC8653764

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.