Evidence map›Paper›PMID 42345944›Full record

ArticleDentistry journal2026

Mining the Public Mind: A Text-Mining Approach to Dental Implants and Dentures.

Hyun-Jun Kong

Abstract read
In one paragraph

Article in Dentistry journal, 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

1 author.

Hyun-Jun KongDepartment of Prosthodontics and Wonkwang Dental Research Institute, School of Dentistry, Wonkwang University, Iksan 54538, Republic of Korea.ORCID 0000-0001-9331-3572

Funding

This research was supported by Development Fund Program of Wonkwang University College of Dentistry funded by Dentium Co., Ltd. 2025
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

data miningdental implantsdenturesmedical informaticssentiment analysis

Identifiers

PMID42345944
PMCPMC13298260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.