Evidence map›Paper›PMID 36361839›Full record

ArticleInternational journal of molecular sciences2022

Atherogenic Indices as a Predictor of Aortic Calcification in Prostate Cancer Patients Assessed Using

Michelle Dai, Winnie Xu, Helene Chesnais, Nancy Anabaraonye, James Parente, Shampa Chatterjee, Chamith S Rajapakse

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
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

7 authors at 2 institutions in 1 country.

Michelle DaiDepartment of Radiology, University of Pennsylvania, 1 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.ORCID 0000-0002-3740-8347
Winnie XuDepartment of Radiology, University of Pennsylvania, 1 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Helene ChesnaisDepartment of Radiology, University of Pennsylvania, 1 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Nancy AnabaraonyeDepartment of Radiology, University of Pennsylvania, 1 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
James ParenteDepartment of Radiology, University of Pennsylvania, 1 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Shampa ChatterjeeDepartment of Physiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Chamith S RajapakseDepartment of Radiology, University of Pennsylvania, 1 Founders Building, 3400 Spruce Street, Philadelphia, PA 19104, USA.
University of Pennsylvania · USTouro University Nevada · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major pathophysiological cause of cardiovascular disease is vascular plaque calcification. Fluorine 18−Sodium Fluoride (18F-NaF) PET/CT can be used as a sensitive imaging modality for detection of vascular calcification. The aim of this study was to find a non-invasive, cost-efficient, and readily available metric for predicting vascular calcification severity. This retrospective study was performed on 36 participants who underwent 18F-NaF fused PET/CT scans. The mean standard uptake values (SUVs) were calculated from manually sectioned axial sections over the aortic arch and thoracic aorta. Correlation analyses were performed between SUVs and calculated atherogenic indices (AIs). Castelli’s Risk Index I (r = 0.63, p < 0.0001), Castelli’s Risk Index II (r = 0.64, p < 0.0001), Atherogenic Coefficient (r = 0.63, p < 0.0001), Atherogenic Index of Plasma (r = 0.51, p = 0.00152), and standalone high-density lipoprotein (HDL) cholesterol (r = −0.53, p = 0.000786) were associated with aortic calcification. AIs show strong association with aortic arch and thoracic aorta calcifications. AIs are better predictors of vascular calcification compared to standalone lipid metrics, with the exception of HDL cholesterol. Clinical application of AIs provides a holistic metric beneficial for enhancing screening and treatment protocols.

Indexed as

Prostatic NeoplasmsVascular CalcificationHumansMalePositron Emission Tomography Computed TomographyRadiopharmaceuticalsRetrospective StudiesSodium FluorideRadiopharmaceuticalsSodium Fluoridearteriosclerosisatherogenic coefficientAtherogenic Index of Plasmaatherogenic indicesCastelli’s Risk Indexhigh-density lipoprotein cholesterolPET/CTplaqueSodium Fluoridevascular calcification

Identifiers

PMID36361839
PMCPMC9653585
OpenAlexW4307423267

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.