Evidence map›Paper›PMID 31752753›Full record

SynthesisBMC cancer2019

Association of TM6SF2 rs58542926 T/C gene polymorphism with hepatocellular carcinoma: a meta-analysis.

Shan Tang, Jing Zhang, Ting-Ting Mei, Hai-Qing Guo, Xin-Huan Wei, Wen-Yan Zhang, Ya-Li Liu, Shan Liang, Zuo-Peng Fan, Li-Xia Ma and 4 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.5field-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

33 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
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  7. Deep metabolic phenotyping of humans with protein-altering variants inJHEP reports : innovation in hepatology · 2025
    Article
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  10. Association ofWorld journal of gastrointestinal oncology · 2023
    Article
  11. Review
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  16. Review
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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

14 authors at 1 institution in 1 country.

Shan TangDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Jing ZhangDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Ting-Ting MeiDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Hai-Qing GuoDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Xin-Huan WeiDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Wen-Yan ZhangDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Ya-Li LiuDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Shan LiangDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Zuo-Peng FanDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Li-Xia MaDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Wei LinDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Yi-Rong LiuDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Li-Xia QiuDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China.
Hai-Bin YuDepartment of Hepatitis C and drug-induced liver injury, Beijing YouAn Hospital,Capital Medical University, Beijing, 100069, China. xiaobenyu2002@163.com.ORCID http://orcid.org/0000-0002-9563-9194
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is the sixth-most common malignancy worldwide. Multiple previous studies have assessed the relationship between TM6SF2 gene polymorphism and the risk of developing HCC, with discrepant conclusions reached. To assess the association of TM6SF2 rs58542926 T/C gene polymorphism with liver cancer, we performed the current meta-analysis.

methodsThis study queried the MEDLINE, PubMed, EMBASE, and CENTRAL databases from inception to April 2019. Case-control studies assessing the relationship between TM6SF2 rs5854292 locus polymorphism and liver cancer were selected according to inclusion and exclusion criteria. The Stata 12.0 software was employed for data analysis.

resultsA total of 5 articles, encompassing 6873 patients, met inclusion criteria and were included in the meta-analysis. Statistical analysis showed that the TM6SF2 gene polymorphism was significantly associated with liver cancer in the allele contrast, dominant, recessive and over dominant models (T vs C, OR = 1.621, 95%CI 1.379-1.905; CT + TT vs CC. OR = 1.541, 95%CI 1.351-1.758; TT vs CT + CC, OR = 2.897, 95%CI 1.690-4.966; CC + TT vs TC, OR = 0.693, 95%CI 0.576-0.834). The Egger's test revealed no significant publication bias.

conclusionThe present findings suggest a significant association of TM6SF2 gene polymorphism with HCC risk in the entire population studied.

Indexed as

Polymorphism, Single NucleotideCarcinoma, HepatocellularGenetic Association StudiesGenetic Predisposition to DiseaseHumansLiver NeoplasmsMembrane ProteinsMembrane ProteinsTM6SF2 protein, humanLiver cancerMeta-analysisTM6SF2 gene polymorphism

Identifiers

PMID31752753
PMCPMC6868855
OpenAlexW2994028870

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.