Evidence map›Paper›PMID 38496804›Full record

ArticleJournal of clinical and experimental dentistry2024

The evaluation of the effect of long-term antihypertensive drug usage on bone density with dental volumetric tomography.

Ridvan Guler, Kamil-Serkan Agacayak

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Article in Journal of clinical and experimental dentistry, 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
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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

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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, 0 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Ridvan GulerDDS, MSC, Dicle University, Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Diyarbakir, Turkey.
Kamil-Serkan AgacayakDDS, PHD, Dicle University, Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, Diyarbakir, Turkey.
Dicle University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: HT is a systemic disease that presents with persistent high blood pressure, which has become an important health problem due to its cause of serious complications and high prevalence in the community. Aim: This study aims to examine the bone mineral density (BMD) of male patients using different groups of antihypertensive drugs for long terms with dental volumetric tomography. Material and Methods: The study was carried out using the data of patients who applied to the Dicle University Faculty of Dentistry and underwent the Dental Volumetric Tomography (DVT) scan for any reason. The patients included in the study were divided into 4 groups according to their antihypertensive use; Group 1: 60 patients who never used hypertensive medication before, Group 2: 60 patients who received Calcium Channel Blocker treatment for over 5 years, Group 3: 60 patients who received Beta Blocker treatment for over 5 years, Group 4: 60 patients who received ACE inhibitor treatment for over 5 years. Radiomorphometric measurements were made on the DVT data and the DVT-Mandibular Index Inferior, DVT-Cortical Index, Hounsfield Unit-Cortical and Hounsfield Unit-Spongios values were calculated. The Kruskal-Wallis test, the Mann Whitney test with Bonferroni correction, the One-Way ANOVA and Post-Hoc Tukey test were used in the study. Results: A significant increase in DVT-CI and a significant decrease in HU-CORTIKAL, HU-SPONGIOS and DVT-MII values were observed in the patients using Calcium Channel Blocker medication. These findings pointed to osteoporosis. In addition, no statistically significant difference in the use of antihypertensive drugs in the Beta Blocker and ACE Inhibitor groups compared to the Control Group were found. Conclusions: The long term use of Calcium Channel Blocker group antihypertensive drugs should be considered as a risk factor for osteoporosis in men.

Identifiers

PMID38496804
PMCPMC10943675
OpenAlexW4391351851

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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.