Evidence map›Paper›PMID 31386560›Full record

ArticleDento maxillo facial radiology2019

Assessment of relationship between extracranial and intracranial carotid calcifications-a retrospective cone beam computed tomography study.

Sunil Mutalik, Aditya Tadinada

Open access · bronzeAbstract read
In one paragraph

Article in Dento maxillo facial radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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.

Sunil MutalikUniversity of Connecticut, School of Dental Medicine, 263 Farmington Avenue, Farmington, CT.
Aditya TadinadaUniversity of Connecticut, School of Dental Medicine, 263 Farmington Avenue, Farmington, CT.
University of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCone beam CT scans in current day dental practice are highly collimated yet involve areas along the course of the extracranial carotid artery. Detecting an extracranial carotid calcification on small volume scans leaves the dentist with two questions: whether the patient is likely to have intracranial carotid calcifications and whether the patient warrants further medical attention. This study aimed to assess the presence of intracranial carotid artery calcifications (ICAC) in the presence of extracranial carotid artery calcifications (ECAC).

methods450 CBCT scans were retrospectively evaluated for ECAC and ICAC. Erby et al's classification was modified to classify calcifications as mild, moderate, and severe. The presence of ICAC when ECAC were present was evaluated in all three orthogonal planes. The risk of ICAC in the presence of ECAC was calculated as odds ratio and the association between the two was calculated using a χ

resultsThe odds ratio for bilateral ICAC in the presence of bilateral ECAC was 15.09. The odds ratio for left ICAC/right ICAC in the presence of left/ right ECAC was 0.833 and 2.564, respectively. The number and severity of calcifications increased with age. The χ

conclusionsThe results of this group of patients showed that there is an increased presence of ICAC in the presence of ECAC.

Indexed as

CalcinosisCarotid Artery DiseasesCarotid Artery, InternalCone-Beam Computed TomographyHumansRetrospective StudiesCone beam CTExternal Carotid ArteryIncidental FindingsInternal Carotid ArteryVascular calcifications

Identifiers

PMID31386560
PMCPMC6951097
OpenAlexW2964486816

What OpenQuestion holds

Textmetadata
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.