Evidence map›Paper›PMID 29317833›Full record

ReviewOncoTargets and therapy2018

Clinicopathological and prognostic significance of OCT4 in patients with hepatocellular carcinoma: a meta-analysis.

Chaojie Liang, Yingchen Xu, Hua Ge, Guangming Li, Jixiang Wu

Open access · goldAbstract readReview
In one paragraph

Review in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 17 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

5 authors at 2 institutions in 1 country.

Chaojie Liang *Department of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Yingchen Xu *Department of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Hua GeDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Guangming LiDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Jixiang WuDepartment of General Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Beijing Tongren Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsOctamer-binding transcription factor 4 (OCT4) has been implicated in the development of hepatocellular carcinoma (HCC), although the findings are controversial. We conducted a meta-analysis to assess the correlation between OCT4 and the clinicopathological characteristics and the prognostic value in HCC.

methodsAn electronic search for relevant articles was conducted in PubMed, Cochrane Library, Web of Science, EMBASE database, Chinese CNKI, and Chinese WanFang database. Correlations between OCT4 expression and clinicopathological features and survival outcomes were analyzed. Pooled odds ratios and hazard ratios with 95% CIs were calculated using STATA 14.2 software.

resultsA total of 10 trials with 985 patients were included. Positive OCT4 expression was correlated with tumor size, tumor numbers, differentiation, and TNM stage. OCT4 expression was not correlated with gender, age, hepatitis B surface antigen, alfa-fetoprotein, liver cirrhosis, vascular invasion, or tumor encapsulation. OCT4 expression was associated with poor 3- and 5-year overall survival, and disease-free survival rate.

conclusionOCT4 expression was associated with tumor size, tumor numbers, differentiation, and TNM stage in HCC. OCT4 may be a useful prognostic biomarker for HCC.

Indexed as

hepatocellular carcinomameta-analysisoctamer-binding transcription factor 4prognosis

Identifiers

PMID29317833
PMCPMC5743188
OpenAlexW2776524836

What OpenQuestion holds

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LicenceCC BY-NC
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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.