Evidence map›Paper›PMID 35909916›Full record

ArticleJournal of hepatocellular carcinoma2022

Histological Severity of Cirrhosis Influences Surgical Outcomes of Hepatocellular Carcinoma After Curative Hepatectomy.

Bin-Yong Liang, Jin Gu, Min Xiong, Er-Lei Zhang, Zun-Yi Zhang, Wan-Yee Lau, Shao-Fa Wang, Yan Guan, Xiao-Ping Chen, Zhi-Yong Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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

10 authors at 4 institutions in 1 country.

Bin-Yong Liang *Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Jin Gu *Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Min XiongDepartment of Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Er-Lei ZhangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Zun-Yi ZhangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Wan-Yee LauFaculty of Medicine, the Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR, People's Republic of China.
Shao-Fa WangInstitute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Yan GuanHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Xiao-Ping ChenHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Zhi-Yong HuangHepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Huazhong University of Science and Technology · CNTongji Hospital · CNPrince of Wales Hospital · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is frequently associated with cirrhosis. The present study investigated the impact of histological severity of cirrhosis on surgical outcomes for HCC and further developed novel nomograms to predict postoperative recurrence and survival. Methods: A total of 1524 consecutive patients undergoing curative hepatectomy for HCC between 1999 and 2015 were retrospectively studied. Cirrhotic severity was histologically staged according to the Laennec staging system. Short- and long-term outcomes were investigated. Recurrence-free survival (RFS) and overall survival (OS) predictive nomograms were constructed based on the results of multivariate analysis. The predictive accuracy of the nomograms was measured by the concordance index (C-index) and calibration. Results: Patients in the severe cirrhosis group had significantly higher morbidity and mortality rates than patients in the no, mild, and moderate cirrhosis groups. The 5-year RFS and OS rates were 36.8% and 64.5%, respectively, in the no cirrhosis group, compared to 34.8% and 60.4% in the mild cirrhosis group, 17.3% and 43.4% in the moderate cirrhosis group, and 6.1% and 20.1% in the severe cirrhosis group. Long-term survival outcomes were significantly worse as cirrhotic severity was increased. The C-index was 0.727 for the RFS nomogram and 0.746 for the OS nomogram. Calibration curves showed good agreement between actual observations and nomogram predictions. The 2 nomograms had a superior discriminatory ability to predict RFS and OS compared to other staging systems. Conclusion: Histological severity of cirrhosis significantly affected surgical outcomes in HCC patients undergoing curative hepatectomy. The novel nomograms, including histological severity of cirrhosis, showed an accurate prediction of postoperative recurrence and survival.

Indexed as

hepatectomyhepatocellular carcinomaLaennec staging systemnomogramprognosis

Identifiers

PMID35909916
PMCPMC9329680
OpenAlexW4286611261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.