Evidence map›Paper›PMID 24574785›Full record

SynthesisWorld journal of gastroenterology2014

Meta-analysis of immunohistochemical expression of hypoxia inducible factor-1α as a prognostic role in gastric cancer.

Shuang Lin, Rui Ma, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai

Open access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 32% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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  15. Glucose metabolism in gastric cancer: The cutting-edge.World journal of gastroenterology · 2016
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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

7 authors at 1 institution in 1 country.

Shuang LinShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Rui MaShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Xue-Yong ZhengShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Hong YuShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Xiao LiangShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Hui LinShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Xiu-Jun CaiShuang Lin, Xue-Yong Zheng, Hong Yu, Xiao Liang, Hui Lin, Xiu-Jun Cai, Department of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Institute of Minimally Invasive Surgery, Zhejiang University, Hangzhou 310016, Zhejiang Province, China.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo conduct a meta-analysis to evaluate the prognostic role of hypoxia inducible factor-1α (HIF-1α) expression in gastric cancer.

methodsThe PubMed, EMBASE, and Web of Science databases were searched systematically for all articles published in English before August, 2013. Pooled effect was calculated from the available data to evaluate the association between HIF-1α expression and 5-year overall survival and tumor clinicopathological features in gastric cancer patients. Pooled odds ratios (ORs) with 95%CIs were calculated using either a fixed-effects or a random-effects model.

resultsNine studies matched the selection criteria, which reported on 1103 subjects, 548 of whom had HIF-1α positive expression (50%). This meta-analysis indicated that HIF-1α positive expression in gastric cancer correlated with lower 5-year overall survival (OR = 0.36; 95%CI: 0.21-0.64), worse tumor differentiation (OR = 0.38; 95%CI: 0.23-0.64), deeper invasion (OR = 0.42; 95%CI: 0.32-0.57), higher rates of lymph node metastasis (OR = 2.23; 95%CI: 1.46-3.40), lymphatic invasion (OR = 2.50; 95%CI: 1.46-4.28), and vascular invasion (OR = 1.80; 95%CI: 1.29-2.51), and higher TNM stage (III + IV) (OR = 0.31; 95%CI: 0.15-0.60).

conclusionHIF-1α positive expression indicates a poor prognosis for patients with gastric cancer. Further studies are required to confirm these results.

Indexed as

ImmunohistochemistryBiomarkers, TumorChi-Square DistributionHumansHypoxia-Inducible Factor 1, alpha SubunitOdds RatioPredictive Value of TestsPrognosisRisk FactorsStomach NeoplasmsSurvival AnalysisBiomarkers, TumorHIF1A protein, humanHypoxia-Inducible Factor 1, alpha Subunit5-year overall survivalClinicopathological featuresGastric cancerHypoxia inducible factor-1αMeta-analysis

Identifiers

PMID24574785
PMCPMC3921536
OpenAlexW2012622728

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.