Evidence map›Paper›PMID 33740211›Full record

ArticleHepatology international2021

Liver fibrosis scores and coronary atherosclerosis: novel findings in patients with stable coronary artery disease.

Jing-Lu Jin, Hui-Wen Zhang, Ye-Xuan Cao, Hui-Hui Liu, Qi Hua, Yan-Fang Li, Yan Zhang, Yuan-Lin Guo, Na-Qiong Wu, Cheng-Gang Zhu and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Hepatology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 63 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

17 authors at 4 institutions in 1 country.

Jing-Lu JinState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Hui-Wen ZhangState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Ye-Xuan CaoState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Hui-Hui LiuState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Qi HuaDepartment of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Yan-Fang LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
Yan ZhangState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Yuan-Lin GuoState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Na-Qiong WuState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Cheng-Gang ZhuState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Rui-Xia XuState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Ying GaoState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Chuan-Jue CuiState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Geng LiuState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Jing SunState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Qian DongState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China.
Jian-Jun LiState Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fu Wai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, BeiLiShi Road 167, Beijing, 100037, China. lijianjun938@126.com.
Fu Wai Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Anzhen Hospital · CNCapital Medical University · CN

Funding

CAMS Major Collaborative Innovation Project 2016-I2M -1-011Capital Health Development Fund 201614035
6 · The paper itself

Abstract

backgroundAlthough non-invasive liver fibrosis scores (LFSs) have already been considered as effective tools for estimating cardiovascular risk, their roles in predicting disease severity and cardiovascular event (CVEs) in patients with stable coronary artery disease (CAD) are not comprehensively evaluated. The aim of the present study was to investigate whether non-alcoholic fatty liver disease fibrosis score (NAFLD-FS) and fibrosis-4 (FIB-4) are associated with CVEs in a large cohort with long-term follow-up.

methodsA cohort of 5143 patients with angiography-proven stable CAD were consecutively enrolled and followed up for CVEs. The degree of coronary severity was assessed using the number of diseased vessels, Gensini, Syntax, and Jeopardy scores. The predictive values of NAFLD-FS and FIB-4 scores to coronary severity, coronary calcification (CAC), and CVEs were assessed, respectively.

resultsDuring a median follow-up of 7 years, 435 CVEs were recorded. Both NAFLD-FS and FIB-4 were predictors for the presence of CAC. The degree of coronary stenosis was significantly higher in high NAFLD-FS categories while FIB-4 was only positively associated with the number of diseased vessels and Gensini score. In Kaplan-Meier analysis, the patients with intermediate and high NAFLD-FS and FIB-4 had higher risk of CVEs and cardiovascular mortality. In multivariate Cox regression analysis, NAFLD-FS and FIB-4 were independently associated with CVEs [hazard ratio (95% confidence interval): 1.150 (1.063-1.244), p < 0.001 and 1.128 (1.026-1.240), p = 0.012].

conclusionThe current data first indicated that both NAFLD-FS and FIB-4 scores were not only significantly related to coronary severity but also associated with CAC and CVEs. CLINICAL TRIALS REGISTRATION: None.

Indexed as

AtherosclerosisCoronary Artery DiseaseLiver CirrhosisCohort StudiesHumansNon-alcoholic Fatty Liver DiseaseSeverity of Illness IndexCalcificationCardiovascular eventClinical studyLiver fibrosis scoreNon-invasiveOutcomePrognosisRisk factorStable coronary artery diseaseStenosis

Identifiers

PMID33740211
OpenAlexW3138280396

What OpenQuestion holds

Textmetadata
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.