Evidence map›Paper›PMID 24318992›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Association of IL-6 polymorphisms with hepatocellular carcinoma risk: evidences from a meta-analysis.

Ying Liu, Su-jun Gao, Bo-xiang Du, Jie-jun Wang

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.0field-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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Ying LiuDepartment of Oncology, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai, People's Republic of China.
Su-jun Gao
Bo-xiang Du
Jie-jun Wang
Second Military Medical University · CNAffiliated Hospital of Nantong University · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The associations between IL-6 gene single nucleotide polymorphisms (SNPs) and risk of hepatocellular carcinoma (HCC) are controversial. We performed a meta-analysis to provide more credible evidence. We searched for relevant studies published up to 2013 by performing an efficient searching strategy. Odds ratios (OR) with 95% confidence interval (95% CI) was used to estimate the strength of the associations between IL-6 polymorphisms and HCC risk. We identified eight case-control studies involving 1,448 HCC cases and 3,160 controls. Our estimation specifically focused on two SNPs of the IL-6 gene, -174 G/C and -572 G/C. The combined results showed that association between IL-6-174 G/C polymorphism and risk of HCC was significant under additive model (CC vs. GG: OR 0.36; 95% CI, 0.16, 0.85) and recessive model (GG+CG vs. CC: OR 2.82; 95% CI 1.26, 6.28). However, the IL-6-572 G/C polymorphism was not associated with HCC risk. In conclusion, IL-6-174 G/C, but not -572 G/C polymorphism could be a candidate for susceptibility to HCC. However, the results should be cautiously interpreted due to the limited number of the included studies.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideCarcinoma, HepatocellularHumansInterleukin-6Liver NeoplasmsPublication BiasIL6 protein, humanInterleukin-6

Identifiers

PMID24318992
OpenAlexW2031499847

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.