Evidence map›Paper›PMID 40256694›Full record

ArticleJournal of conservative dentistry and endodontics2025

Evaluating the effectiveness of various disinfectants in deep carious lesions: An

Nitika Disodia, Nupur Dhanak, Aditya Pidaparthi, Geeta Asthana, Shikha Kanodia

Abstract read
In one paragraph

Article in Journal of conservative dentistry and endodontics, 2025. 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.

Nitika DisodiaDepartment of Conservative Dentistry and Endodontics, Government Dental College and Hospital, Ahmedabad, Gujarat, India.
Nupur DhanakDepartment of Conservative Dentistry and Endodontics, Government Dental College and Hospital, Ahmedabad, Gujarat, India.
Aditya PidaparthiDepartment of Conservative Dentistry and Endodontics, Government Dental College and Hospital, Ahmedabad, Gujarat, India.
Geeta AsthanaDepartment of Conservative Dentistry and Endodontics, Government Dental College and Hospital, Ahmedabad, Gujarat, India.
Shikha KanodiaDepartment of Conservative Dentistry and Endodontics, Government Dental College and Hospital, Ahmedabad, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The study aimed to assess and compare the cavity disinfection efficacy of 2% chlorhexidine, 940 nm diode laser, and photodynamic therapy (PDT) with Rose Bengal-functionalized chitosan nanoparticles (CS-NPs) in deep carious lesions. Settings and Design: This randomized controlled, parallel clinical trial was conducted in the Department of Conservative Dentistry and Endodontics, Government Dental College and Hospital, Ahmedabad. A simple randomization technique was used for randomization of samples. A total of 90 patients participated in this study. Subjects and Methods: Ninety participants with reversible pulpitis were randomly assigned to three groups, each receiving a different cavity disinfectant: 2% chlorhexidine, 940 nm diode laser, and PDT with Rose Bengal-functionalized CS-NPs. Dentinal samples were collected before and after cavity disinfection, and microbiological analysis for total viable count (TVC), Statistical Analysis Used: Statistical analysis involved the Wilcoxon signed-rank, Kruskal-Wallis, and Tukey's tests. Results: Intragroup comparison showed high significant reductions in TVC, Conclusions: All three cavity disinfectants significantly reduced total vital count,

Indexed as

Chlorhexidine gluconatedental cariesdiode laserphotodynamic therapy

Identifiers

PMID40256694
PMCPMC12007745

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.