Evidence map›Paper›PMID 42621945›Full record

ReviewFrontiers in cellular and infection microbiology2026

Research advances in early diagnosis and treatment strategies for peri-implantitis: from microecology to regenerative therapy.

Xuezhen Gao, Yuanna Zheng

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 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

2 authors.

Xuezhen GaoDepartment of Dentistry, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yuanna ZhengNingbo Dental Hospital/Ningbo Oral Health Research Institute, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peri-implantitis, a plaque-associated inflammatory disease characterized by progressive bone loss around functional implants, poses a significant threat to the long-term success of oral rehabilitation. The understanding of its etiology has evolved from a traditional infection model to a dysbiosis-based host-microbe interaction disorder model. This paradigm shift underscores the critical need for early detection and novel therapeutic strategies. This review comprehensively summarizes recent research advances within a logical framework: microbial dysbiosis, early diagnosis, treatment evolution, and regeneration. We detail the transition from a symbiotic microflora to a pathogenic biofilm, emphasizing key pathogens and host immune dysregulation mechanisms. The review evaluates the refinement of clinical and imaging diagnostics, the application of molecular biomarkers for early warning, and the emergence of point-of-care testing (POCT). Treatment strategies are discussed, moving beyond mechanical debridement to include innovative approaches like microecological modulation and regenerative therapies employing guided bone regeneration (GBR), bioactive factors, and tissue engineering concepts. Finally, we address current challenges in clinical translation and highlight future directions, including integrated diagnostics, personalized minimally invasive treatment, and smart biomaterials. The effective management of peri-implantitis necessitates an integrated strategy combining microbiological control with predictable tissue regeneration, requiring interdisciplinary collaboration to ensure the long-term stability of implant restorations.

Indexed as

Peri-ImplantitisRegenerative MedicineBiofilmsBiomarkersDysbiosisEarly DiagnosisHumansBiomarkersbiomarkersearly diagnosisguided bone regenerationmicrobial dysbiosisperi-implantitis

Identifiers

PMID42621945
PMCPMC13487885

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.