Evidence map›Paper›PMID 26322518›Full record

SynthesisPloS one2015

The Value of MicroRNA-155 as a Prognostic Factor for Survival in Non-Small Cell Lung Cancer: A Meta-Analysis.

Fei Wang, Jianguo Zhou, Yu Zhang, Yi Wang, Long Cheng, Yuju Bai, Hu Ma

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  16. Combining Anti-Mir-155 with Chemotherapy for the Treatment of Lung Cancers.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
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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.

Fei WangDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Jianguo ZhouDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Yu ZhangDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Yi WangDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Long ChengDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Yuju BaiDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Hu MaDepartment of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou province, China.
Zunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies have shown that miR-155 play a positive role in the development of carcinoma. This meta-analysis aimed to identify the role of miR-155 in the survival of non-small cell lung cancer patients. METHODOLOGY: Eligible studies were identified through database searches. Relevant data were extracted from each eligible study to assess the correlation between miR-155 expression and survival in lung carcinoma patients. The hazard ratios (HRs) and 95% confidence intervals (CIs) of the patients' outcomes in relation to miR-155 were calculated. A total of 6 studies were included for this meta-analysis. For overall survival (OS), recurrence-free survival (RFS), disease-free survival (DFS), and cancer-specific survival (CSS), the combined HRs and 95% CIs were not statistically significant. Additionally, in Asian and America subgroups, greater expression levels of miR-155 were related to poor prognoses for lung cancer (HR 1.71 95% CI: 1.22-2.40, P = 0.002, HR 2.35 95% CI: 1.42-3.89 P = 0.001), while no significant relationship was present in a Europe subgroup (HR 0.75 95%CI: 0.27-2.10, P = 0.587).

conclusionsThese results suggest that miR-155 expression is not significantly related to non-small cell lung cancer patients except in patients from Asian and America.

Indexed as

Asian PeopleCarcinomaCarcinoma, Non-Small-Cell LungDisease-Free SurvivalEuropeHumansLung NeoplasmsMicroRNAsPrognosisProportional Hazards ModelsMicroRNAsMIRN155 microRNA, human

Identifiers

PMID26322518
PMCPMC4556438
OpenAlexW2200427816

What OpenQuestion holds

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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.