Evidence map›Paper›PMID 42038981›Full record

ReviewJournal of oral microbiology2026

Recent perspectives on precision-targeting therapy against oral biofilm.

Lixuan Wu, Yuwang Tu, Suli Xiao, Jianchai Zeng, Guanwen Sun, Yijun Li

Abstract readReview
In one paragraph

Review in Journal of oral microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

6 authors.

Lixuan WuStomatological Hospital of Xiamen Medical College, Xiamen, China.
Yuwang TuStomatological Hospital of Xiamen Medical College, Xiamen, China.
Suli XiaoStomatological Hospital of Xiamen Medical College, Xiamen, China.
Jianchai ZengStomatological Hospital of Xiamen Medical College, Xiamen, China.
Guanwen SunDepartment of Stomatology, Fujian Medical University Xiamen Humanity Hospital, Xiamen, China.
Yijun LiStomatological Hospital of Xiamen Medical College, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral biofilm-derived diseases pose a significant clinical challenge due to their persistent nature and increasing drug resistance, contributing to a substantial global economic burden. Conventional treatments-such as mechanical debridement, antiseptic agents, and laser therapy-though partially effective, often lack specificity, resulting in non-targeted microbial killing and disruption of the ecological balance. Objective: This review provides an updated overview of the application of precision antimicrobial therapies against oral biofilms, with a particular focus on pH-responsive materials and bacteriophage-based strategies. Design: A comprehensive literature search was conducted across PubMed and Google Scholar databases from January 2016 to January 2026. A total of 84 full-text articles were included for qualitative synthesis. Results: The collective findings demonstrate that multiple precision-targeting strategies-spanning from bacteriophage therapy to pH-responsive antimicrobial materials-exhibit distinct advantages in combating oral biofilms. Conclusion: The common core principle underpinning these approaches lies in their 'precision-targeting' capability: the ability to identify and interfere with specific targets or biological processes. This attribute not only significantly enhances therapeutic efficacy but also paves the way for developing personalized, microbiome-preserving strategies for the prevention and management of oral diseases.

Indexed as

bacteriophagedental cariesoral biofilmperiodontitispH-responsive materialsPrecision-targeting

Identifiers

PMID42038981
PMCPMC13103991

What OpenQuestion holds

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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.