Evidence map›Paper›PMID 41554517›Full record

ArticleEuropean journal of dentistry2026

The Impact of Cytokines Expression in Peri-implant Crevicular Fluid Associated with Keratinized Tissue Augmentation via Xenogeneic Collagen Matrix: A Pilot Study.

Xin-Rui Zhu, Ying-Jie Lin, Chang Chen, Rui-Yong Wang, Yi Liu

Abstract read
In one paragraph

Article in European journal of dentistry, 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

5 authors.

Xin-Rui ZhuDepartment of Periodontics, School of Stomatology, Capital Medical University, Beijing, People's Republic of China.
Ying-Jie LinDepartment of Stomatology, Beijing Haidian Hospital, Beijing, People's Republic of China.
Chang ChenDepartment of Oral Healthcare, Chinese Stomatological Association, Beijing, People's Republic of China.
Rui-Yong WangDepartment of Stomatology, Beijing Haidian Hospital, Beijing, People's Republic of China.
Yi LiuDepartment of Periodontics, School of Stomatology, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The xenogeneic collagen matrix (XCM) is widely used for keratinized mucosa augmentation around natural teeth and dental implants due to its consistent efficacy and the advantage of avoiding a second surgical site. However, the shrinkage rate of XCM after surgery exceeds 50%, which is not conducive to accurate preoperative design. This study aimed to investigate factors influencing XCM shrinkage. Materials and Methods: Fifteen participants with buccal keratinized tissue width (KTW) <2 mm around mandibular single implants underwent XCM-based KTW augmentation. Clinical parameters were recorded, and peri-implant crevicular fluid (PICF) was collected preoperatively and at 3-month follow-ups. Twenty cytokines in PICF were assessed using a commercial kit, with Spearman tests evaluating correlations between cytokines, clinical parameters, and shrinkage predictors. Results: XCM significantly increased KTW from 1.39 ± 0.26 mm to 4.13 ± 1.19 mm at 3 months ( Conclusion: KTW augmentation alters cytokine expression. Thin preoperative KTT and high CTSK in PICF may predict high postoperative XCM shrinkage. Clinical Relevance: Gingival phenotype significantly impacts XCM shrinkage after augmentation. PICF cytokine expression could serve as a predictive biomarker. Trial Registration: The Chinese Clinical Trial Registry, no. ChiCTR2500100933 (last updated on 17/04/2025).

Identifiers

PMID41554517
PMCPMC13337261

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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.