Article in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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.
Jeong-Hyo LyuDivision of Conservative Dentistry, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.ORCID 0009-0002-6940-134X
Young-Hee KimDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.
Hyun-Sook ChungDivision of Conservative Dentistry, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.
Sang-Yoon ParkDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.ORCID 0000-0001-7624-3373
Sang-Min YiDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.
Soo-Hwan ByunDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.ORCID 0000-0003-0739-7971
Sung-Woon OnDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.ORCID 0000-0001-6192-1530
Jae-Seo LeeDepartment of Oral and Maxillofacial Radiology, School of Dentistry, Chonnam National University, Gwangju 61186, Republic of Korea.ORCID 0000-0001-8059-0378
Byoung-Eun YangDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.ORCID 0000-0002-4446-6772
Funding
'The Ministry of Health and Welfare (MOHW)' and 'The Korea Health Industry Development In-stitute (KHIDI)' The Ministry of Health and Welfare (MOHW)
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.
Clinical Evaluation of Underwater Discharge Plasma as a Root Canal Irrigant: A Randomized Pilot Study on Efficacy and Safety. · full record | OpenQuestion