Evidence map›Paper›PMID 40307197›Full record

ArticleKorean journal of radiology2025

Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis.

Jun Lu, Hui Xu, Jing Zheng, Tianxin Cheng, Xinjun Han, Yuxin Wang, Xuxu Meng, Xiaoyang Li, Jiahui Jiang, Xue Dong and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Korean journal of radiology, 2025. 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
–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

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.

  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

14 authors.

Jun LuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-4104-2357
Hui XuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-4236-3825
Jing ZhengDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0006-4359-9326
Tianxin ChengDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0009-0503-7877
Xinjun HanDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-9908-6374
Yuxin WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-3136-7097
Xuxu MengDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0002-0251-3195
Xiaoyang LiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-2080-1214
Jiahui JiangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-8645-4008
Xue DongDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-8114-4046
Xijie ZhangDepartment of General Surgery, The Second Clinical Medical School, Lanzhou University, Lanzhou, China.ORCID https://orcid.org/0000-0001-7353-9283
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0001-8190-6469
Zhenghan Yang *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. yangzhenghan@vip.163.com.ORCID https://orcid.org/0000-0003-3986-1732
Lixue Xu *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. yy2022xulixue@163.com.ORCID https://orcid.org/0000-0002-7152-2741

Funding

Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support ZYLX202101
6 · The paper itself

Abstract

objectiveAccurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown. This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. MATERIALS AND

methodsThis retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI

resultsThe FAI

conclusionIncreased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI

Indexed as

Adipose TissueColitis, UlcerativeTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexComputed tomography attenuationDisease severityFat attenuation indexPericolic adipose tissueUlcerative colitis

Identifiers

PMID40307197
PMCPMC12055264

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.