Evidence map›Paper›PMID 26137939›Full record

ArticleDiagnostic pathology2015

A histopathological analysis of the epidemiology of coronary atherosclerosis: an autopsy study.

Negin Abedinzadeh, Behnam Pedram, Yasan Sadeghian, Seyed Mohamad Hossein Tabatabaei Nodushan, Maryam Gilasgar, Mahsa Darvish, Aram Mokarizadeh

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Diagnostic pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Negin AbedinzadehGraduate, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran. Negin.abedinzadeh@gmail.com.
Behnam PedramDepartment of Pathobiology, Susangerd Branch Islamic Azad University, Susangerd, Iran. bpedram@gmail.com.
Yasan SadeghianGraduate, Faculty of Medicine, Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran. yasansadeghian@yahoo.com.
Seyed Mohamad Hossein Tabatabaei NodushanGraduate, Faculty of Medicine, Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran. seyedmohamadhtn@gmail.com.
Maryam GilasgarGraduate, Faculty of Medicine, Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran. maryamgilasgar@yahoo.com.
Mahsa DarvishGraduate, Faculty of Medicine, Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran. mahsadarvish@yahoo.com.
Aram MokarizadehCellular & Molecular Research Center, and Department of Immunology, Kurdistan University of Medical Sciences, Sanandaj, Iran. a.mokarizadeh@muk.ac.ir.
Shahid Beheshti University of Medical Sciences · IRIslamic Azad University, Tehran · IRKurdistan University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerosis accounts for a large proportion of cardiovascular system associated morbidity and mortality. We studied the possible association between the histopathological changes of the coronary atherosclerotic lesions and the risk of sudden cardiac death (SCD) using autopsy cases.

methodsWe performed an autopsy analysis (n = 13, 4 women, 9 men mean age 67.5 years; age range 56-93 years) of SCD which occurred in patients aged over 50 years during March 2010 to December 2013. The following variables were considered: sex, age, medical history, autopsy findings to macroscopic and histological evaluation of the heart. The autopsies were performed according to standard techniques. In all subjects, the heart was dissected following standard autopsy protocol and a 5 cm section of the right coronary artery (RCA) in the atrio-ventricular groove from its origin, a 5 cm segment of the left anterior descending artery (LADA) distal to the origin of the circumflex artery, but including the region of origin of the circumflex branch and left coronary artery (LCA) from its origin till the circumflex branch were excised, dissected out, fixed in 10% formalin, marked for identification and sent for histopathological analysis.

resultsAtherosclerotic plaques were identified in 6.5% of specimens, 69.34% of males and 30.66% of female. Such plaques were typically concentric and more represented with necrosis, calcification, cholesterol crystals, and giant cells, as well as had a higher inflammatory cell count. Furthermore, intima and media thickness of coronary arteries were significantly higher in studied specimens with visualize the connective tissue layers of the adventitia and the fatty acid containing adipose cells in the periadventitial tissue. Furthermore, the degree of microscopic lesion of atherosclerosis increased proportionally with the increase in the intensity of lipid deposition and with the percentage of collagen in the atherosclerotic plaques.

conclusionIn this study, age estimate to be a risk factor for coronary atherosclerosis in individuals more than 50 years old and may be used to predict SCD. Altogether, an enhanced understanding of the pathobiologic processes responsible for atherosclerotic changes might allow for early identification of a high-risk coronary plaque and thereby provide a rationale for innovative diagnostic and/or therapeutic strategies for the management of coronary patients and prevention of acute coronary syndromes.

Indexed as

AgedAged, 80 and overAge FactorsAutopsyBiomarkersBiopsyCause of DeathCollagenCoronary Artery DiseaseCoronary VesselsDeath, Sudden, CardiacFemaleFibrosisHumansIranLipidsBiomarkersCollagenLipids

Identifiers

PMID26137939
PMCPMC4490639
OpenAlexW2972128888

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LicenceCC BY
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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.