Evidence map›Paper›PMID 33209496›Full record

ArticleJournal of gastrointestinal oncology2020

Preoperative computed tomography-assessed skeletal muscle index is a novel prognostic factor in patients with hepatocellular carcinoma following hepatectomy: a meta-analysis.

Liqian Xu, Yuxia Jing, Chen Zhao, Qin Zhang, Xiaohong Zhao, Ji Yang, Lizhen Wu, Yunmei Yang

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

8 authors at 3 institutions in 1 country.

Liqian XuZhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yuxia JingDepartment of Geriatrics, Tianjin Fifth Central Hospital, Tianjin, China.
Chen ZhaoInstitute of Physical Education, Huzhou University, Huzhou, China.
Qin ZhangZhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiaohong ZhaoZhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Ji YangZhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Lizhen WuZhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yunmei YangZhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Zhejiang University · CNFifth Tianjin Central Hospital · CNHuzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, several studies have examined the association between preoperative sarcopenia and prognosis evaluation in patients with hepatocellular carcinoma (HCC) undergoing hepatectomy. However, their conclusions remain ambiguous and controversial. Thus, we conducted a meta-analysis to assess the prognostic role of preoperative sarcopenia in patients with HCC undergoing hepatectomy.

methodsWe searched the existing literature reporting on the prognostic value of preoperative computed tomography (CT)-assessed sarcopenia for the survival of patients with HCC undergoing hepatectomy. The pooled hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) of overall survival (OS) and disease-free survival (DFS) were used to assess the prognostic value of preoperative sarcopenia in HCC patients. The associations between preoperative sarcopenia and clinicopathological characteristics were also evaluated.

resultsA total of six studies with 1,420 patients (including 458 sarcopenia and 962 non-sarcopenia patients) were included in the meta-analysis. The results showed that preoperative sarcopenia was significantly associated with poor OS (HR =1.572, 95% CI: 1.342-1.840, P=0) and shorter DFS (HR =1.544, 95% CI: 1.178-2.024, P=0.002) in patients with HCC undergoing hepatectomy. Preoperative sarcopenia was also significantly related to larger diameter tumors (WMD =0.598, 95% CI: 0.216-0.980, P=0.002). The results of the sensitivity analysis were stable in this meta-analysis. Egger's tests revealed that there was no significant publication bias.

conclusionsSarcopenia appears to have significant adverse impacts on postoperative outcomes in patients with hepatocellular carcinoma following hepatectomy. However, further large-scale prospective studies are needed to confirm our findings.

Indexed as

disease-free survival (DFS)hepatocellular carcinoma (HCC)overall survival (OS)Preoperative sarcopeniaskeletal muscle mass index (SMI)

Identifiers

PMID33209496
PMCPMC7657831
OpenAlexW3096633623

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.