Evidence map›Paper›PMID 35813436›Full record

ArticleComputational and mathematical methods in medicine2022

Computed Tomography Three-Dimensional Reconstruction Algorithm in the Diagnosis of Periodontitis and Its Correlation with Hypertension.

Lingling Xu, Jiaxin Pan, Jue Liu, Zhong Guan, Lu Zhao

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. 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, top 88% of its field
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, 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

5 authors at 1 institution in 1 country.

Lingling XuDepartment of Stomatology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.ORCID https://orcid.org/0000-0003-3603-2314
Jiaxin PanDepartment of Stomatology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.ORCID https://orcid.org/0000-0002-9155-453X
Jue LiuDepartment of Stomatology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.ORCID https://orcid.org/0000-0002-3167-6439
Zhong GuanDepartment of Gastrointestinal Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.ORCID https://orcid.org/0000-0002-4123-7544
Lu ZhaoDepartment of Stomatology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213003, China.ORCID https://orcid.org/0000-0003-3897-1569
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was aimed at exploring the value of iterative reconstruction (IR) algorithm to treat the periodontitis using computed tomography (CT) image and analyze the relationship between periodontitis and hypertension. 95 patients with periodontitis were selected, including 43 patients with periodontitis, 41 patients with advanced periodontitis and hypertension, and 11 patients with periodontitis and nonhigh blood pressure (NBP). The IR algorithm was introduced to the CT image scanning of them to reduce the noise. In addition, the CT value was statistically analyzed. High-sensitivity C-reactive protein (hs-CRP) and interleukin 6 (IL-6) were dramatically increased compared with periodontitis patients with NBP and with hypertension (

Indexed as

HypertensionPeriodontitisAlgorithmsCytokinesHumansImaging, Three-DimensionalTomography, X-Ray ComputedCytokines

Identifiers

PMID35813436
PMCPMC9270138
OpenAlexW4283781354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.