Evidence map›Paper›PMID 40890255›Full record

ArticleScientific reports2025

CT imaging findings of corona mortis and a new method for venous typing.

Jing Zhang, Jun-Lin Huang, Lin Wang, Xiang Chen, Yang Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Jing Zhang *Department of Radiology, Gulin County People's Hospital, Luzhou, 646500, China.
Jun-Lin Huang *Department of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Lin WangDepartment of Radiology, Gulin County People's Hospital, Luzhou, 646500, China.
Xiang ChenDepartment of Radiology, Gulin County People's Hospital, Luzhou, 646500, China.
Yang LiDepartment of Radiology, Air Force Hospital of Western Theater Command, Chengdu, 610011, China. 261075202@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze CT angiographic images to provide comprehensive data on the corona mortis (CMOR) and propose a new classification method for venous corona mortis (VCMOR). This retrospective study included 719 patients (378 males, mean age 55 years) who underwent CT-enhanced examination of the whole abdomen or pelvis. Patient demographics, variation incidence, vessel diameter and location, anatomical configuration, and acetabular distance were evaluated. 73.44% of patients had at least one arterial or venous CMOR, with bilateral occurrences being more common (P < 0.001). The incidence of arterial corona mortis (ACMOR) was 23.92%, and it could be categorized into four types. The mean distance from ACMOR to the pubic symphysis was 56.6 mm, with a greater distance in females (62.2 mm) compared to males (50.4 mm) (P < 0.001). The incidence of VCMOR was 68.43%, with a higher bilateral occurrence (P < 0.001). Fourteen anatomical configurations of the VCMOR were identified and classified into two types and five subtypes. The mean interacetabular distance was 200.5 mm. The origin and branching variation of CMOR vary considerably, especially the venous type, which is characterized by diversity and complexity and needs to be recognized before pelvic operation.

Indexed as

Computed Tomography AngiographyTomography, X-Ray ComputedVeinsAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPelvisRetrospective StudiesYoung AdultAnatomical variant configurationCorona mortisCT

Identifiers

PMID40890255
PMCPMC12402082

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