Evidence map›Paper›PMID 39329854›Full record

ArticleDentistry journal2024

Histological Analysis of Oral Tissue Grafting: A Focus on Donor Site Selection.

Piero Antonio Zecca, Alice Ronchetti, Doris Cangelosi, Marcella Reguzzoni, Davide Farronato

Abstract read
In one paragraph

Article in Dentistry journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Piero Antonio ZeccaDIMIT, Department of Medicine and Technological Innovation, University of Insubria, 21100 Varese, Italy.ORCID 0000-0001-9646-4958
Alice RonchettiPrivate Practice, University of Insubria, 21100 Varese, Italy.
Doris CangelosiPrivate Practice, 20100 Milano, Italy.
Marcella ReguzzoniDIMIT, Department of Medicine and Technological Innovation, University of Insubria, 21100 Varese, Italy.ORCID 0000-0003-3738-6632
Davide FarronatoDIMIT, Department of Medicine and Technological Innovation, University of Insubria, 21100 Varese, Italy.ORCID 0000-0003-0328-470X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The science of dental tissue grafting is evolving, with an increased understanding of factors influencing graft behavior. Despite the widespread clinical use of soft tissue grafts, the histological characteristics of different gingival harvesting sites are still underexplored. This study aimed to fill this gap by analyzing 50 tissue samples harvested from 25 patients across three sites: the hard palate, maxillary tuberosity, and palatal rugae. Each sample underwent thorough histological and histomorphometric analysis. Conventional statistical analysis was performed using SPSS, while predictive modeling was conducted with RapidMiner Studio. The study identified significant histological differences among the graft sites, with notable variations in total graft height, epithelial height, and interdigitation perimeter. These findings underscore the importance of donor site selection in influencing graft success. Pair plots and principal component analysis (PCA) further highlighted the distinct histological features of each tissue type. The random forest classifier identified total graft height, epithelial height, and perimeter as the most influential factors in predicting graft site behavior. This study offers valuable insights into the histological characteristics of soft tissue grafts, potentially leading to more predictable clinical outcomes.

Indexed as

donor site selectiongingival phenotypeshistological analysisoral tissue graftingpredictive modeling

Identifiers

PMID39329854
PMCPMC11431422

What OpenQuestion holds

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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.