Evidence map›Paper›PMID 41623765›Full record

ArticleBioinformation2025

Machine learning for predicting

Rohitkumar R Thakkar, Nirma Yadav, Anand Kumar, Shilpa Duseja, Sunny Mavi, Udipta Sahoo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 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

6 authors.

Rohitkumar R ThakkarDepartment of Periodontology, Siddhpur Dental College and Hospital, Siddhpur - 384151, Gujarat, India.
Nirma YadavDepartment of Dentistry, Maa Vindhyawasini Autonomous State Medical College, Mirzapur, Uttar Pradesh, India.
Anand KumarDepartment of Dentistry, Moti Lal Nehru Medical College, Prayagraj, Uttar Pradesh, India.
Shilpa DusejaDepartment of Periodontology, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, India.
Sunny MaviDepartment of Periodontics, Sudha Rustagi College of Dental Sciences and Research, Faridabad, Haryana, India.
Udipta SahooDepartment of Periodontics, Kalinga Institute of Dental Sciences, KIIT (Deemed to be university), Patia, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontal disease caused by dysbiotic biofilms poses a major challenge and predicting the efficacy of topical antimicrobial gels is limited by biofilm resistance and resource-intensive

Indexed as

antimicrobial efficacybiofilmchitosanchlorhexidinedrug formulationmachine learningperiodontal gelprediction model

Identifiers

PMID41623765
PMCPMC12859305

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.