Evidence map›Paper›PMID 26550117›Full record

ArticleInternational journal of clinical and experimental medicine2015

Prognostic value of melanoma cell adhesion molecule expression in cancers: a meta-analysis.

Guoqing Zhu, Xiao Zhang, Yulan Wang, Huizi Xiong, Yinghui Zhao, Jiayi Wang, Fenyong Sun

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Guoqing ZhuDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Xiao ZhangDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Yulan WangDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Huizi XiongDepartment of Dermatology, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Yinghui ZhaoDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Jiayi WangDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Fenyong SunDepartment of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University Shanghai 200072, China.
Shanghai Tenth People's Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma cell adhesion molecule (MACM) has been reported in many studies as a novel bio-marker for its prognosis value in cancers. But the prognosis significance of MACM expression in cancer remains inconclusive. Therefore, we conducted a system review and meta-analysis to assess its prognosis value in cancers. A systematic search through Pubmed, EMBASE and Cochran Library database was conducted. Hazard Ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the prognosis value of MACM expression. Eleven studies with 2657 cases were included after sorting out 462 articles for this meta-analysis. The results of the fixed-model depending on the heterogeneity in studies demonstrated that MACM expression was significantly associated with overall survival (OS) in cancer (HR=2.84, 95% CI: 1.10-7.31, P<0.00001). Furthermore, subgroup analysis indicated that high expressed MACM predicted a poor OS in both Asian (HR=2.52, 95% CI: 1.80-3.52, P<0.00001) and Caucasian (HR=2.40, 95% CI: 2.01-2.88, P<0.00001). In conclusion, high expression of MACM was significantly associated with a poor prognostic outcome in cancer. MACM can be regarded as a novel bio-marker in different types of cancers and can be used to evaluate the prognosis of therapeutic effect during clinical practices.

Indexed as

cancerMACMmeta-analysisoverall survivalprognosis

Identifiers

PMID26550117
PMCPMC4612802
OpenAlexW2195485492

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.