Evidence map›Paper›PMID 40082885›Full record

ArticleBMC oral health2025

Gingival thickness: effects on gingival wound healing.

Kalia Theodorou, Ai Ni, Dimitris N Tatakis

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Kalia TheodorouDivision of Periodontology, College of Dentistry, The Ohio State University, Columbus, OH, USA.
Ai NiDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Dimitris N TatakisDivision of Periodontology, College of Dentistry, The Ohio State University, Columbus, OH, USA. dnt25@case.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough available evidence indicates that gingival thickness may affect periodontal surgical outcomes, there are no studies on the effect of gingival thickness on gingival excisional wound healing. This prospective study aimed to assess the effect of gingival thickness on the healing of standardized experimental gingival wounds.

methodsHealthy non-smokers with thick or thin gingiva were recruited. Standardized circular buccal gingival excisional wounds were created. Follow-up visits were conducted on postoperative day 3 (D3), 7 (D7), and 14 (D14). Healing Score Index (HSI) and H

resultsTwenty-six volunteers (24-36 years old) with thin/thick gingiva (n = 13 per group, age- and sex-matched) completed the study. HSI predictably increased from D3 to D14, without significant intergroup differences at any time point (p ≥ 0.99). Wound epithelialization was 0% on D3, 61-69% on D7, and 92-100% on D14, without significant intergroup differences at any time (p ≥ 0.99). Over 95% of the immediate postoperative wound area was closed by D14, without significant intergroup differences at any time (p ≥ 0.25). Although OHIP-14 scores did not differ significantly between groups (p ≥ 0.99), thin group reported more pain after the anesthesia wore off (day of the surgery; p = 0.0391).

conclusionsWithin the limitations of the present study, standardized buccal gingival wounds heal predictably within a short period of time, with no evidence that clinically determined gingival thickness has any effects on the wound healing.

Indexed as

GingivaSurgery, OralWound HealingAdultCase-Control StudiesFemaleHumansMalePeriodonticsProspective StudiesSurveys and QuestionnairesGingivaMouth mucosaPhenotypeWound Healing

Identifiers

PMID40082885
PMCPMC11907790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.