Evidence map›Paper›PMID 30073139›Full record

ReviewJournal of bone oncology2018

Study on the relationship between livin expression and osteosarcoma.

Meng Du, Yongfeng Wang, Wei Zhao, Zhiquan Wang, Jie Yuan, Hongying Bai

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of bone oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. The role ofTranslational cancer research · 2021
    Article
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

6 authors at 3 institutions in 1 country.

Meng DuDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Henan, China.
Yongfeng WangDepartment of Orthopaedics, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Wei ZhaoDepartment of Orthopaedics, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Zhiquan WangDepartment of Orthopaedics, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Jie YuanDepartment of Orthopaedics, The Second Hospital of Shanxi Medical University, Taiyuan, China.
Hongying BaiDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Henan, China.
Shanxi Medical University · CNSecond Affiliated Hospital of Zhengzhou University · CNSecond Hospital of Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this meta-analysis was to analysis the expression of livin in human osteosarcoma.

methodsWe searched the Pubmed, Science Direct, Embase and Web of Science, CNKI, Wanfang and VIP for relevant original studies. Statistical analysis was performed by Stata 11.0 software.

resultsOur study indicated that livin expressed in the osteosarcoma tissue was significantly higher than the control group (OR = 18.814, P c = 0.000, 95% CI: 10.973-32.257), and the positive expression of livin was correlated with the size of osteosarcoma tumor and Enncking staging (OR = 4.832, 95% CI: 2.198-10.621; OR = 4.851, 95% CI: 3.053-7.709, respectively).

conclusionLivin was highly expressed in osteosarcoma, and osteosarcoma Enncking staging and tumor size were positively correlated, both may be involved in the occurrence and development of osteosarcoma, and be closely related to the prognosis of osteosarcoma patients.

Indexed as

LivinMeta-analysisOsteosarcomaTherapeutic target

Identifiers

PMID30073139
PMCPMC6069704
OpenAlexW2792309106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.