Evidence map›Paper›PMID 34726101›Full record

ArticleAnnals of medicine2021

Prediction of severity and outcomes of colon ischaemia using a novel prognostic model: a clinical multicenter study.

Xinbo Ai, Yuping Chen, Jiajian Qian, Bin Zhou, Zhenjiang Wang, Yanjun Zhang, Aimin Li, Feiyue Gong, Wensheng Pan, Bo Shen and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Xinbo AiDepartment of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuping ChenDepartment of Gastroenterology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
Jiajian QianDepartment of Pharmacy, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
Bin ZhouDepartment of Pathology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
Zhenjiang WangDepartment of Gastroenterology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
Yanjun ZhangDepartment of Intensive Care Unit, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
Aimin LiDepartment of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Feiyue GongDepartment of Gastroenterology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
Wensheng PanDepartment of Gastroenterology, Zhejiang Provincial Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.ORCID 0000-0002-2347-1695
Bo ShenThe Inflammatory Bowel Disease Center at Columbia, Columbia University Irving Medical Center, New York, NY, USA.
Side LiuDepartment of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify risk factors of disease severity and between mild and severe colon ischaemia (CI) patients and to improve clinical outcomes, this study aimed to explore a novel scoring model.

methodsRetrospective analyses of hospital records between January 2009 and December 2019 were included. Clinical manifestations, mortality, Oakland score, laboratory tests, colonoscopy, and histopathology were collected. Risk factors of severe CI were determined by univariate and multivariate logistic regression and used for the predicting model.

resultsA total of 203 patients with CI were included. Serum C-reactive protein (CRP) and albumin ratio (CAR) were much higher in the severe CI group compared with that of the mild CI group (3.33 ± 1.78 versus 0.68 ± 0.97,

conclusionsThe novel prognostic model was established to predict CI severity and clinical outcomes efficiently.Key messagesIn this article, we discuss the scoring model for clinical outcomes of colon ischaemia patients.In our study, the sensitivity and specificity of a novel scoring model are very high.Thus, laboratory tests (CRP albumin ratio), Oakland score, and histopathological findings (fibrin thrombi) can be assessed efficiently for colon ischaemia outcomes.

Indexed as

AlbuminsColonC-Reactive ProteinFibrinHumansIschemiaPrognosisRetrospective StudiesROC CurveAlbuminsC-Reactive ProteinFibrinColon ischaemiacolonoscopyhistopathologyOakland scoreprognostic modelsurgery

Identifiers

PMID34726101
PMCPMC8567865

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