Evidence map›Paper›PMID 42282350›Full record

ArticleBioinformation2026

Stem cell-based scaffolds using dental pulp and adipose-derived stem cells in periodontal regeneration: Evidence from preclinical or clinical studies.

Manimekalai Muthusamy, Beena George, Divya Alexander, Siladitya Sen, Suma Janya, Bindu Devanahalli Rajanna

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

6 authors.

Manimekalai MuthusamyDepartment of Periodontics, Chettinad Institute of Higher Education and Research, Rajiv Gandhi Salai, Kelambakkam, Chennai, Tamil Nadu, India.
Beena GeorgeDepartment of Oral Pathology and Microbiology, Sree Mookambika Institute of Dental Sciences, Padanilam, Kulasekharam 629161, Tamil Nadu, India.
Divya AlexanderDepartment of Periodontics, Sri Rajiv Gandhi College of Dental Sciences and Hospital, Cholanagar, Bengaluru pin code 560032, Karnataka, India.
Siladitya SenDepartment of Dentistry, JIMSH, K. P. Mondal Road, Buita, Budge Budge, Kolkata - 700137, West Bengal, India.
Suma JanyaDepartment of Prosthodontics, RUAS (Ramaiah university of applied sciences), Msrit Edu campus New BEL Road, Bengaluru - 560064, Karnataka, India.
Bindu Devanahalli RajannaDepartment of Periodontology, Dayanada Sagar College of Dental Sciences, Kumaraswamy Layout, Bengaluru, Karnataka 560111, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current periodontal therapies fail to predictably restore the complete architecture of alveolar bone, periodontal ligament and cementum lost due to periodontal disease. Stem cell-based scaffolds have emerged as a biological strategy to enhance coordinated periodontal regeneration through combined cellular and biomaterial approaches. Therefore, it is of interest to evaluate preclinical and clinical evidence on dental pulp stem cell and adipose-derived stem cell-based scaffolds in periodontal regeneration. Animal studies consistently demonstrate enhanced new bone formation, cementum-like tissue deposition, organized periodontal ligament-like fibers and improved vascularization compared to scaffold-only controls. Thus, we report reductions in probing depth, gains in clinical attachment and favorable safety profiles, although standardized protocols and long-term data remain limited.

Indexed as

adipose-derived stem cellsalveolar bone regenerationclinical applicationsdental pulp stem cells (DPSC)Periodontal regenerationperiodontal tissue engineeringpreclinical modelsstem cell-based scaffoldstissue engineering

Identifiers

PMID42282350
PMCPMC13252327

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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.