Evidence map›Paper›PMID 34156170›Full record

ArticleESC heart failure2021

Prognostic significance of liver stiffness assessed by fibrosis-4 index in patients with heart failure.

Masafumi Takae, Koichiro Fujisue, Eiichiro Yamamoto, Koichi Egashira, Takashi Komorita, Fumi Oike, Taiki Nishihara, Masahiro Yamamoto, Kyoko Hirakawa, Noriaki Tabata and 13 more

Abstract read
In one paragraph

Article in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. FIB-4 index predicts short-term mortality in Vietnamese acute heart failure patients.American heart journal plus : cardiology research and practice · 2026
    Article
  6. Observational
  7. The Cardiohepatic Axis in Metabolic Disease: Liver to Heart.JACC. Basic to translational science · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Liver in Heart Failure: From Biomarkers to Clinical Risk.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. 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

23 authors.

Masafumi TakaeDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Koichiro FujisueDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Eiichiro YamamotoDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Koichi EgashiraDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Takashi KomoritaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Fumi OikeDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Taiki NishiharaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Masahiro YamamotoDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Kyoko HirakawaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Noriaki TabataDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Takanori TokitsuDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Kenshi YamanagaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Daisuke SuetaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Shinsuke HanataniDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Taishi NakamuraDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Hiroki UsukuDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Satoshi ArakiDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Yuichiro ArimaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Seiji TakashioDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Satoru SuzukiDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Koichi KaikitaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Kenichi MatsushitaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Faculty of Life Sciences, Graduate School of Medical Science, Center for Metabolic Regulation of Healthy Aging (CMHA), Kumamoto University, Kumamoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF)-related congestive hepatopathy is a well-recognized problem in management of HF. The fibrosis-4 (FIB4) index calculated by [age × aspartate aminotransferase (IU/L)/platelet count (10 METHODS AND

resultsConsecutive HF patients referred for hospitalization at Kumamoto University Hospital, Japan, were registered between 2006 and 2015. We observed cardiovascular outcomes in each type of HF [HF with reduced left ventricular ejection fraction (LVEF) (HFrEF), HF with mid-range LVEF (HFmrEF) and with preserved LVEF (HFpEF)] according to their FIB4 index; Group 1 (FIB4 index <1.3), Group 2 (FIB4 index: 1.3-2.67), and Group 3 (FIB4 index >2.67). This study enrolled 83 HFrEF patients, 117 HFmrEF patients, and 504 HFpEF patients. In HFpEF patients, the Kaplan-Meier curve revealed that Group 3 had a significantly higher rate of total cardiovascular events compared with the other two groups. By contrast, the occurrences of total cardiovascular events were not different among three groups in HFrEF and HFmrEF patients. Multivariate Cox proportional hazard analysis with significant factors in univariate analysis identified that the FIB4 index as an independent and significant predictor for future total cardiovascular events in HFpEF patients (hazard ratio: 1.09, 95% confidence interval: 1.03-1.15, P = 0.001).

conclusionsThe FIB4 index was a significant predictor for total cardiovascular events in HFpEF.

Indexed as

Heart FailureFibrosisHumansLiverPrognosisStroke VolumeVentricular Function, LeftFibrosis-4 indexHeart failurePrognosis

Identifiers

PMID34156170
PMCPMC8497384

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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.