Evidence map›Paper›PMID 29190884›Full record

ArticleOncotarget2017

The autophagy marker LC3 strongly predicts immediate mortality after surgical resection for hepatocellular carcinoma.

Chih-Wen Lin, Chih-Che Lin, Po-Huang Lee, Gin-Ho Lo, Pei-Min Hsieh, Kah Wee Koh, Chih-Yuan Lee, Yao-Li Chen, Chia-Yen Dai, Jee-Fu Huang and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-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.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

13 authors at 7 institutions in 2 countries.

Chih-Wen LinDivision of Gastroenterology and Hepatology, E-Da Dachang Hospital, I-Shou University, Kaohsiung, Taiwan.
Chih-Che LinDepartment of Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Po-Huang LeeSchool of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan.
Gin-Ho LoDivision of Gastroenterology and Hepatology, Department of Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Pei-Min HsiehDepartment of Surgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Kah Wee KohDivision of Gastroenterology and Hepatology, Department of Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Chih-Yuan LeeDepartment of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Yao-Li ChenDepartment of Surgery, Changhua Christian Hospital, Changhua, Taiwan.
Chia-Yen DaiHepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital and Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
Jee-Fu HuangHepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital and Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
Wang-Long ChuangHepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital and Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yaw-Sen Chen *School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan.
Ming-Lung Yu *Hepatobiliary Division, Department of Internal Medicine and Hepatitis Center, Kaohsiung Medical University Hospital and Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
E-Da Hospital · TWKaohsiung Medical University · TWChang Gung University · TWChanghua Christian Hospital · TWI-Shou University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The remnant liver's ability to regenerate may affect post-hepatectomy immediate mortality. The promotion of autophagy post-hepatectomy could enhance liver regeneration and reduce mortality. This study aimed to identify predictive factors of immediate mortality after surgical resection for hepatocellular carcinoma (HCC). A total of 535 consecutive HCC patients who had undergone their first surgical resection in Taiwan were enrolled between 2010 and 2014. Clinicopathological data and immediate mortality, defined as all cause-mortality within three months after surgery, were analyzed. The expression of autophagy proteins (LC3, Beclin-1, and p62) in adjacent non-tumor tissues was scored by immunohistochemical staining. Approximately 5% of patients had immediate mortality after surgery. The absence of LC3, hypoalbuminemia (<3.5 g/dl), high alanine aminotransferase, and major liver surgery were significantly associated with immediate mortality in univariate analyses. Multivariate logistic regression demonstrated that absence of LC3 (hazard ratio/95% confidence interval: 40.8/5.14-325) and hypoalbuminemia (2.88/1.11-7.52) were significantly associated with immediate mortality. The 3-month cumulative incidence of mortality was 12.1%, 13.0%, 21.4% and 0.4%, respectively, among patients with absence of LC3 expression, hypoalbuminemia, both, or neither of the two. In conclusion, the absence of LC3 expression in adjacent non-tumor tissues and hypoalbuminemia were strongly predictive of immediate mortality after resection for HCC.

Indexed as

albuminautophagyliver failurepost-hepatectomy immediate mortalitypredictor

Identifiers

PMID29190884
PMCPMC5696150
OpenAlexW2739613571

What OpenQuestion holds

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LicenceCC BY
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.