Evidence map›Paper›PMID 36090482›Full record

ArticleTherapeutic advances in gastroenterology2022

Mesenteric abnormalities play an important role in grading intestinal fibrosis in patients with Crohn's disease: a computed tomography and clinical marker-based nomogram.

Jixin Meng, Yitao Mao, Jie Zhou, Zhao Chen, Siyun Huang, Yangdi Wang, Li Huang, Ruonan Zhang, Xiaodi Shen, Wen Lv and 9 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  8. Article
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  10. How to Evaluate Fibrosis in IBD?Diagnostics (Basel, Switzerland) · 2023
    Review
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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

19 authors at 3 institutions in 2 countries.

Jixin MengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID https://orcid.org/0000-0002-5698-2600
Yitao MaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Jie ZhouDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Zhao ChenDepartment of Medical Imaging Center, Nan Fang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Siyun HuangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yangdi WangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Li HuangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Ruonan ZhangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Xiaodi ShenDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Wen LvDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Juxiong XiaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Ziyin YeDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Zhihui ChenDepartment of Gastrointestinal and Pancreatic Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Canhui SunDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Ziping LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Shaochun LinDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
Xuehua LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.ORCID https://orcid.org/0000-0002-7476-2644
Sun Yat-sen University · CNCentral South University · CNCleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While the grading of intestinal fibrosis is closely related to the therapeutic strategy of patients with Crohn's disease (CD), it has not yet been well resolved. Mesenteric abnormalities are inextricably linked to intestinal fibrosis. Objectives: We aimed to establish an optimal model for assessing intestinal fibrosis using computed tomography enterography (CTE) and clinical markers. Design: A total of 174 patients with CD between January 2014 and June 2020 were included in this retrospective multicentre study. Methods: All patients underwent CTE within 3 months prior to surgery. Intestinal fibrosis was pathologically scored as non-mild or moderate-to-severe. Selected imaging of the intestinal walls and mesentery and/or clinical factors were used to develop the diagnostic models. The area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the discrimination performance of the models. A decision curve analysis was performed to evaluate the clinical usefulness of the models. Results: One-, two-, and three-variable models were identified as possible diagnostic models. Model 1 [mesenteric creeping fat index (MCFI)], Model 2 (mesenteric oedema and MCFI), and Model 3 (mesenteric oedema, MCFI, and disease duration) were established. The AUCs of Model 1 in training and test cohorts 1 and 2 were 0.799, 0.859, and 0.693, respectively; Model 2 was 0.851, 0.833, and 0.757, respectively; and Model 3 was 0.832, 0.821, and 0.850, respectively. We did not observe any significant difference in diagnostic performance between the training and total test cohorts in any model (all Conclusion: A nomogram integrating mesenteric abnormalities on CTE with a clinical marker was optimal for differentiating between non-mild and moderate-to-severe fibrosis in patients with CD.

Indexed as

computed tomography enterographyCrohn’s diseasefibrosismesenterynomogram

Identifiers

PMID36090482
PMCPMC9459497
OpenAlexW4294738833

What OpenQuestion holds

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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.