Evidence map›Paper›PMID 31512140›Full record

ArticleAdvances in therapy2019

Development and Validation of CAGIB Score for Evaluating the Prognosis of Cirrhosis with Acute Gastrointestinal Bleeding: A Retrospective Multicenter Study.

Zhaohui Bai, Bimin Li, Su Lin, Bang Liu, Yiling Li, Qiang Zhu, Yunhai Wu, Yida Yang, Shanhong Tang, Fanping Meng and 4 more

Registry-linked trialOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in Advances in therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04662918 (Validation of CAGIB Score for In-hospital Mortality of Cirrhotic Patients With Acute Gastrointestinal Bleeding), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 17% 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.

NCT04662918 recruitingnot on this mapstarted 2022, after this paper: background citation

Validation of CAGIB Score for In-hospital Mortality of Cirrhotic Patients With Acute Gastrointestinal Bleeding: A Prospective, International Multicenter, Observational Study

TypeobservationalSponsorXingshun QiRan2022 to 2025Enrolled3,000ConditionsGastroIntestinal Bleeding
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 30 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

14 authors at 11 institutions in 1 country.

Zhaohui BaiDepartment of Gastroenterology, General Hospital of Northern Theater Command (formerly called General Hospital of Shenyang Military Area), Shenyang, China.
Bimin LiDepartment of Gastroenterology, First Affiliated Hospital of Nanchang University, Nanchang, China.
Su LinLiver Research Center, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Bang LiuDepartment of Hepatobiliary Disease, 900 Hospital of the Joint Logistics Team (formerly called Fuzhou General Hospital), Fuzhou, China.
Yiling LiDepartment of Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, China.
Qiang ZhuDepartment of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
Yunhai WuDepartment of Critical Care Medicine, Sixth People's Hospital of Shenyang, Shenyang, China.
Yida YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Shanhong TangDepartment of Gastroenterology, General Hospital of Western Theater Command, Chengdu, China.
Fanping MengDepartment of Biological Therapy, Fifth Medical Center of PLA General Hospital, Beijing, China.
Yu ChenDifficult and Complicated Liver Diseases and Artificial Liver Center, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Shanshan YuanDepartment of Gastroenterology, Xi'an Central Hospital, Xi'an, China.
Lichun ShaoDepartment of Gastroenterology, Air Force Hospital of Northern Theater Command, Shenyang, China.
Xingshun QiDepartment of Gastroenterology, General Hospital of Northern Theater Command (formerly called General Hospital of Shenyang Military Area), Shenyang, China. xingshunqi@126.com.ORCID 0000-0002-9448-6739
General Hospital of Shenyang Military Region · CNCapital Medical University · CNChina Medical University · CNChinese PLA General Hospital · CNFujian Medical University · CNFuzhou General Hospital of Nanjing Military Command · CNNanchang University · CNShandong University · CNThe Sixth People's Hospital of Shenyang · CNXian Central Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAcute gastrointestinal bleeding (GIB) is a major cause of death in liver cirrhosis. This multicenter study aims to develop and validate a novel and easy-to-access model for predicting the prognosis of patients with cirrhosis and acute GIB.

methodsPatients with cirrhosis and acute GIB were enrolled and randomly divided into the training (n = 865) and validation (n = 817) cohorts. In the training cohort, the independent predictors for in-hospital death were identified by logistic regression analyses, and then a new prognostic model (i.e., CAGIB score) was established. Area under curve (AUC) of CAGIB score was calculated by receiver operating characteristic curve analysis and compared with Child-Pugh, model for end-stage liver disease (MELD), MELD-Na, and neutrophil-lymphocyte ratio (NLR) scores.

resultsIn the training cohort, hepatocellular carcinoma (HCC), diabetes, total bilirubin (TBIL), albumin (ALB), alanine aminotransferase (ALT), and serum creatinine (Scr) were independent predictors of in-hospital death. CAGIB score = diabetes (yes = 1, no = 0) × 1.040 + HCC (yes = 1, no = 0) × 0.974 + TBIL (μmol/L) × 0.005 - ALB (g/L) × 0.091 + ALT (U/L) × 0.001 + Scr (μmol/L) × 0.012 - 3.964. In the training cohort, the AUC of CAGIB score for predicting in-hospital death was 0.829 (95% CI 0.801-0.854, P < 0.0001), which was higher than that of Child-Pugh (0.762, 95% CI 0.732-0.791), MELD (0.778, 95% CI 0.748-0.806), MELD-Na (0.765, 95% CI 0.735-0.793), and NLR (0.587, 95% CI 0.553-0.620) scores. In the validation cohort, the AUC of CAGIB score (0.714, 95% CI 0.682-0.746, P = 0.0006) remained higher than that of Child-Pugh (0.693, 95% CI 0.659-0.725), MELD (0.662, 95% CI 0.627-0.695), MELD-Na (0.660, 95% CI 0.626-0.694), and NLR (0.538, 95% CI 0.503-0.574) scores.

conclusionCAGIB score has a good predictive performance for prognosis of patients with cirrhosis and acute GIB.

Indexed as

PrognosisSeverity of Illness IndexAdolescentAdultAgedAged, 80 and overCarcinoma, HepatocellularCohort StudiesFemaleGastrointestinal HemorrhageHumansLiver CirrhosisLiver NeoplasmsMaleMiddle AgedRetrospective StudiesChild–PughCirrhosisGastrointestinal bleedingMELDPrognosis

Identifiers

PMID31512140
PMCPMC6822790
OpenAlexW2973216534

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.