Evidence map›Paper›PMID 29312642›Full record

ArticleOncotarget2017

Efficacy of sorafenib in patients with hepatocellular carcinoma after resection: a meta-analysis.

Jin Shang, Shanling Xu, Jiaxing Zhang, Xuting Ran, Lang Bai, Hong Tang

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Advances in postoperative adjuvant therapy for primary liver cancer.World journal of gastrointestinal oncology · 2022
    Review
  3. Article
  4. Review
  5. Review
  6. Article
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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

6 authors.

Jin ShangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shanling XuSichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jiaxing ZhangChinese Evidence-based Medicine Center, Sichuan University, Chengdu, China.
Xuting RanWest China Medical School, Sichuan University, Chengdu, Sichuan, China.
Lang BaiCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hong TangCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis of hepatocellular carcinoma remains poor even after curative resection and it has no effective adjuvant therapy.

aimThis meta-analysis aimed to assess efficacy of sorafenib as adjuvant therapy for patients with hepatocellular carcinoma after resection. MATERIALS AND

methodsA systematic search was conducted of Medline, Embase, Web of Science, Cochrane Library, Chinese Wanfang database, Chinese biological and medical database, China National Knowledgeand the Internet, data from 5 studies that included 296 participants were analyzed. The primary outcome was overall survival. Secondary outcomes included recurrence rate and mortality rate.

resultsIn the comparison of sorafenib versus control, no significant difference in overall survival (hazard ratio 1.39, 95% confidence interval [CI] 0.71-2.74,

conclusionsIn this meta-analysis, sorafenib achieves no significant benefit in any of the endpoints except a lower mortality rate in subgroup analysis, indicating that there is no convincing evidence of sorafenib as an effective adjuvant therapy in patients with hepatocellular carcinoma after resection.

Indexed as

hepatocellular carcinomaliver resectionoverall survivalrecurrencesorafenib

Identifiers

PMID29312642
PMCPMC5752555

What OpenQuestion holds

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Registered trials

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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.