Evidence map›Paper›PMID 31711420›Full record

ArticleBMC gastroenterology2019

A novel collagen area fraction index to quantitatively assess bowel fibrosis in patients with Crohn's disease.

Xue-Hua Li, Zhuang-Nian Fang, Tian-Ming Guan, Jin-Jiang Lin, Can-Hui Sun, Si-Yun Huang, Ren Mao, Bao-Lan Lu, Qing-Hua Cao, Shi-Ting Feng and 1 more

Abstract read
In one paragraph

Article in BMC gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Diagnosis of Intestinal Fibrosis in Crohn's Disease-Present and Future.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

11 authors.

Xue-Hua LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Zhuang-Nian FangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Tian-Ming GuanDepartment of Radiology, Hui Ya Hospital of Hui Zhou, Sun Yat-Sen University, 186 Zhongxingbei Road, Huizhou, 516081, People's Republic of China.
Jin-Jiang LinDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Can-Hui SunDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Si-Yun HuangDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Ren MaoDepartment of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Bao-Lan LuDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Qing-Hua CaoDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China.
Shi-Ting FengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China. fengsht@mail.sysu.edu.cn.
Zi-Ping LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, People's Republic of China. liziping803@163.com.

Funding

National Natural Science Foundation of China 81600508National Natural Science Foundation of China 81770654
6 · The paper itself

Abstract

backgroundA validated histopathological tool to precisely evaluate bowel fibrosis in patients with Crohn's disease is lacking. We attempted to establish a new index to quantify the severity of bowel fibrosis in patients with Crohn's disease-associated fibrostenosis.

methodsWe analyzed the histopathological data of 31 patients with Crohn's disease strictures undergoing surgical resection. The most representative sections of resected strictured segments were stained with Masson trichrome to manifest bowel fibrosis. The collagen area fraction and histological fibrosis score were simultaneously calculated for the same section to evaluate the severity of bowel fibrosis.

resultsCollagen area fraction strongly correlated with histological fibrosis scores (r = 0.733, P < 0.001). It showed a stronger correlation (r = 0.561, P < 0.001) with the degree of bowel strictures than the histological fibrosis score did (r = 0.468, P < 0.001). It was also shown to be more accurate for diagnosing Crohn's disease strictures (area under the receiver operating characteristic curve = 0.815, P < 0.001) compared with the histological fibrosis score (area under the curve = 0.771, P < 0.001). High repeatability was observed for the collagen area fraction, with an intraclass correlation coefficient of 0.915 (P < 0.001).

conclusionsCollagen area fraction is a simple and reliable index to quantify the severity of bowel fibrosis in patients with Crohn's disease-associated fibrostenosis.

Indexed as

Crohn DiseaseAdultCollagenConstriction, PathologicCorrelation of DataDigestive System Surgical ProceduresFemaleFibrosisHumansIntestinal ObstructionIntestinesMaleResearch DesignSeverity of Illness IndexCollagenCollagen fiberCrohn’s diseaseFibrosis

Identifiers

PMID31711420
PMCPMC6849306

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.