Evidence map›Paper›PMID 35979262›Full record

ArticleWorld journal of gastroenterology2022

Endoscopic classification and pathological features of primary intestinal lymphangiectasia.

Ming-Ming Meng, Kui-Liang Liu, Xin-Ying Xue, Kun Hao, Jian Dong, Chun-Kai Yu, Hong Liu, Cang-Hai Wang, Hui Su, Wu Lin and 5 more

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Ming-Ming MengDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Kui-Liang LiuDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Xin-Ying XueDepartment of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Kun HaoDepartments of Lymphatic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Jian DongDepartments of Radiology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Chun-Kai YuDepartments of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Hong LiuDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Cang-Hai WangDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Hui SuDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Wu LinDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Guo-Jun JiangDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Nan WeiDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Ren-Gui WangDepartments of Radiology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Wen-Bin ShenDepartments of Lymphatic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Jing WuDepartment of Gastroenterology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China. wujing36@163.com.
Beijing Shijitan Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe appearance of the intestinal mucosa during endoscopy varies among patients with primary intestinal lymphangiectasia (PIL).

aimTo classify the endoscopic features of the intestinal mucosa in PIL under endoscopy, combine the patients' imaging and pathological characteristics of the patients, and explain their causes.

methodsWe retrospectively analyzed the endoscopic images of 123 patients with PIL who were treated at the hospital between January 1, 2007 and December 31, 2018. We compared and analyzed all endoscopic images, classified them into four types according to the endoscopic features of the intestinal mucosa, and analyzed the post-lymphographic computed tomography (PLCT) and pathological characteristics of each type.

resultsAccording to the endoscopic features of PIL in 123 patients observed during endoscopy, they were classified into four types: nodular-type, granular-type, vesicular-type, and edematous-type. PLCT showed diffuse thickening of the small intestinal wall, and no contrast agent was seen in the small intestinal wall and mesentery in the patients with nodular and granular types. Contrast agent was scattered in the small intestinal wall and mesentery in the patients with vesicular and edematous types. Analysis of the small intestinal mucosal pathology revealed that nodular-type and granular-type lymphangiectasia involved the small intestine mucosa in four layers, whereas ectasia of the vesicular- and edematous-type lymphatic vessels largely involved the lamina propria mucosae, submucosae, and muscular layers.

conclusionEndoscopic classification, combined with the patients' clinical manifestations and pathological examination results, is significant and very useful to clinicians when scoping patients with suspected PIL.

Indexed as

Lymphangiectasis, IntestinalEdemaEndoscopy, GastrointestinalHumansIntestine, SmallRetrospective StudiesTomography, X-Ray ComputedEndoscopic featuresPathologyPost-lymphangiographic computed tomographyPrimary intestinal lymphangiectasia

Identifiers

PMID35979262
PMCPMC9258282
OpenAlexW4281735978

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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.