Evidence map›Paper›PMID 42094281›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Clinical efficacy of guided tissue regeneration combined with orthodontic treatment on periodontitis.

Fengjuan Wang, Feng Yang, Chun Yao, Yanxiao Du

Abstract read
In one paragraph

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

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

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

4 authors.

Fengjuan Wang *Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, Shandong, China.
Feng Yang *Department of Stomatology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Chun YaoDepartment of Stomatology, Zhenjiang First People's Hospital, People's Hospital Affiliated to Jiangsu University, Zhenjiang, Jiangsu, China.
Yanxiao DuThe Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periodontitis is a common chronic inflammatory disorder caused by bacterial plaque. Our study aims to evaluate the clinical efficacy of guided tissue regeneration with orthodontic treatment (GTRO) in patients with periodontitis. Methods: Propensity score matching was performed based on gender, age, periodontitis duration, dental malformation, sulcus bleeding index, and gingival index. Clinical efficacy, gingival index (GI), sulcus bleeding index (SBI), probing depth (PD), clinical attachment loss (CAL), and depth of bone defect were assessed 6 months post-treatment. The NLR family pyrin domain containing 3 (NLRP3), IL-1β, and IL-18 levels in gingival crevicular fluid (GCF) were determined using ELISA. Results: A total of 131 patients were included in the final analysis, including 64 in the GTR group and 67 in the GTRO group. The GTRO group demonstrated better outcomes, including higher recovery and total efficacy rates. Post-treatment, the GTRO group exhibited greater improvements in GI and SBI, PD, CAL, and depth of bone defect than the GTR group. Levels of NLRP3, IL-1β, and IL-18 in GCF significantly decreased in both groups, with more pronounced reductions observed in the GTRO group. Conclusion: GTRO improved clinical and anti-inflammatory outcomes and was associated with better periodontal health and bone defect repair than GTR alone at 6 months.

Indexed as

clinical efficacyguided tissue regenerationNLRP3orthodontic treatmentperiodontitis

Identifiers

PMID42094281
PMCPMC13139106

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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.