Evidence map›Paper›PMID 27780927›Full record

SynthesisOncotarget2016

Meta-analysis of the correlation between selenium and incidence of hepatocellular carcinoma.

Ziwei Zhang, Mingyu Bi, Qi Liu, Jie Yang, Shiwen Xu

Abstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Chemoprevention of hepatocellular carcinoma.Hepatology communications · 2025
    Review
  2. Current and emerging strategies for the prevention of hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2025
    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

5 authors.

Ziwei ZhangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, P. R. China.
Mingyu BiHarbin Railway Public Security Bureau Police Dog Base, Harbin 150056, P. R. China.
Qi LiuCollege of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, P. R. China.
Jie YangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, P. R. China.
Shiwen XuCollege of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common cancer type. There is a correlation between selenium (Se) deficiency and the incidence of HCC. To clarify the effects of Se level on the risk of HCC patients, a meta-analysis was performed. A total of 9 articles published between 1994 and 2016 worldwide were selected through searching PubMed, EMBASE, web of science, Cochrane Library, Springer Link, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biology Medicine (CBM), and the information were analyzed using a meta-analysis method. Heterogeneity was assessed by using the I2 index. Publication bias was evaluated by Begg's Test analysis. Pooled analysis indicated that patients with HCC had lower Se levels than the healthy controls [standardized mean difference (SMD)= -1.08, 95% confidence intercal (CI) = (-0.136, -0.08), P < 0.001]. Further subgroup analysis showed this effect to be independent of the study design, race or sample collection. In conclusion, this meta-analysis suggested an inverse correlation between Se level and the risk of HCC in humans patients.

Indexed as

AdultAgedAged, 80 and overCarcinoma, HepatocellularFemaleHumansIncidenceLiver NeoplasmsMaleMiddle AgedSeleniumYoung AdultSeleniumcorrelationhepatocellular carcinomameta-analysisselenium

Identifiers

PMID27780927
PMCPMC5363572

What OpenQuestion holds

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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.