Evidence map›Paper›PMID 39877403›Full record

ArticleFrontiers in oral health2024

Effect of a chemically-modified-curcumin on dental resin biodegradation.

Qi Dai, Hsi-Ming Lee, Austin Giordano, Fu-Pen Chiang, Stephen G Walker, Rafael Delgado-Ruiz, Francis Johnson, Lorne M Golub, Ying Gu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oral health, 2024. 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

9 authors.

Qi DaiDepartment of General Dentistry, School of Dental Medicine, Stony Brook University, Stony Brook, NY, United States.
Hsi-Ming LeeDepartment of Oral Biology and Pathology, School of Dental Medicine, Stony Brook University, Stony Brook, NY, United States.
Austin GiordanoDepartment of Mechanical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, United States.
Fu-Pen ChiangDepartment of Mechanical Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, United States.
Stephen G WalkerDepartment of Oral Biology and Pathology, School of Dental Medicine, Stony Brook University, Stony Brook, NY, United States.
Rafael Delgado-RuizDepartment of Prosthodontics and Digital Technology, School of Dental Medicine, Stony Brook University, Stony Brook, NY, United States.
Francis JohnsonDepartment of Chemistry and Pharmacological Sciences, School of Medicine, Stony Brook University, Stony Brook, NY, United States.
Lorne M GolubDepartment of Oral Biology and Pathology, School of Dental Medicine, Stony Brook University, Stony Brook, NY, United States.
Ying GuDepartment of General Dentistry, School of Dental Medicine, Stony Brook University, Stony Brook, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous studies have shown Methods: Dental adhesive materials and composite resins were incubated in Results: Among all experimental groups, CMC 2.24 significantly reduced surface roughness of dental composite ( Conclusion: Our study demonstrated that CMC 2.24 inhibited biodegradation of dental composite material more effectively than its mother compound, curcumin. Moreover, the mechanism of this biodegradation was likely mediated through bacterial esterase activity. Doxycycline achieved similar inhibition by completely eradicating

Indexed as

dental cariesdental caries susceptibilitydental cavitiesdoxycyclinefluoridestreptococcus mutans

Identifiers

PMID39877403
PMCPMC11772268

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.