SynthesisThe Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association2024
Stem Cell-Based Tissue Engineering for Cleft Defects: Systematic Review and Meta-Analysis.
Synthesis in The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Advanced Strategies in the Repair of Alveolar Cleft Defects: Biological Approaches, Biomaterials, and Future Perspectives.Progress in molecular and subcellular biology · 2026Review
- Assessment of facial asymmetry in patients with orofacial cleft based on the biometric proposal of the average male face.Clinical oral investigations · 2025Article
- Stem Cell Therapy's Efficiency in Reconstructing Alveolar Clefts: A System Review and Meta-Analysis of Randomized Controlled Trials.Stem cells international · 2025Review
- Comparative RNA-seq and functional assays identify L-arginine transporter SLC7A2 as a potential regulator of osteogenesis in maxillary sinus mucosal stem cells.Frontiers in genetics · 2025Article
- A machine learning-based predictive model for stem cell therapy outcomes in plastic surgery.Frontiers in medicine · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to analyze the efficacy of stem cell-based tissue engineering for the treatment of alveolar cleft (AC) and cleft palate (CP) defects in animal models. Systematic review and meta-analysis. Preclinical studies on alveolar cleft repair in maxillofacial practice. Electronic search was performed using PubMed, Embase, and Cochrane databases. Pre-clinical studies, where stem cell-based tissue engineering was used in the reconstruction of AC and CP in animal models were included. Quality of the selected articles was evaluated using SYRCLE (SYstematic Review Centre for Laboratory animal Experimentation). Review of alveolar cleft bone augmentation interventions in preclinical models. Outcome parameters registered were new bone formation (NBF) and/or bone mineral density (BMD). Thirteen large and twelve small animal studies on AC (21) and CP (4) reconstructions were included. Studies had an unclear-to-high risk of bias. Bone marrow mesenchymal stem cells were the most widely used cell source. Meta-analyses for AC indicated non-significant benefits in favor of: (1) scaffold + cells over scaffold-only (NBF AC and CP reconstructions are enhanced by addition of osteogenic cells to biomaterials. Directions and estimates of treatment effect are useful to predict therapeutic efficacy and guide future clinical trials of bone tissue engineering.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.