Evidence map›Paper›PMID 30131661›Full record

ArticleWorld journal of gastroenterology2018

Favorable clinical outcome of nonalcoholic liver cirrhosis patients with coronary artery disease: A population-based study.

Ming-Chang Tsai, Tzu-Wei Yang, Chi-Chih Wang, Yao-Tung Wang, Wen-Wei Sung, Ming-Hseng Tseng, Chun-Che Lin

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2018. 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.

  1. Article
  2. Review
  3. 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

7 authors.

Ming-Chang TsaiDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.
Tzu-Wei YangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.
Chi-Chih WangDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.
Yao-Tung WangInstitute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan.
Wen-Wei SungInstitute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan.
Ming-Hseng TsengSchool of Medicine, Chung Shan Medical University, Taichung 402, Taiwan.
Chun-Che LinDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo elucidate the prevalence and risk of mortality of nonalcoholic liver cirrhosis (LC) patients with coronary artery disease (CAD).

methodsThe study cohort included newly diagnosed nonalcoholic LC patients age ≥ 40 years old without a diagnosis of CAD from 2006 until 2011 from a longitudinal health insurance database. The mean follow-up period for the study cohort was 1152 ± 633 d. The control cohort was matched by sex, age, residence, and index date. Hazard ratios (HRs) were calculated using the Cox proportional hazard model and the Kaplan-Meier method.

resultsAfter exclusion, a total of 3409 newly diagnosed nonalcoholic cirrhotic patients were identified from one million samples from the health insurance database. We found that CAD (5.1%

conclusionWe conclude that CAD was less prevalent and associated with a reduced risk of mortality in nonalcoholic cirrhotic patients.

Indexed as

AdultAgedCase-Control StudiesComorbidityCoronary Artery DiseaseFemaleFollow-Up StudiesHumansHyperlipidemiasLiver CirrhosisLongitudinal StudiesMaleMiddle AgedPrevalencePrognosisProportional Hazards ModelsCoronary artery diseaseNonalcoholic liver cirrhosisPopulation-based study

Identifiers

PMID30131661
PMCPMC6102501

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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.