Evidence map›Paper›PMID 32849795›Full record

SynthesisFrontiers in genetics2020

Serum-Derived microRNAs as Prognostic Biomarkers in Osteosarcoma: A Meta-Analysis.

Huan Luo, Peng Wang, Hua Ye, Jianxiang Shi, Liping Dai, Xiao Wang, Chunhua Song, Jianying Zhang, Jitian Li

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in genetics, 2020. 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
0.3field-weighted citation impact, top 49% 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, 9 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

9 authors at 2 institutions in 1 country.

Huan LuoCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Peng WangCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Hua YeCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Jianxiang ShiHenan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China.
Liping DaiHenan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China.
Xiao WangHenan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China.
Chunhua SongCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Jianying ZhangCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Jitian LiLaboratory of Molecular Biology, Henan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Zhengzhou, China.
Zhengzhou University · CNLuoyang Orthopedic-Traumatological Hospital of Henan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent reports suggest that microRNAs (miRNAs) may serve as prognostic biomarkers in osteosarcoma. Due to osteosarcoma's early metastasis and poor prognosis, it is very important to find novel prognostic biomarkers for improving osteosarcoma's prognosis. Herein we propose a meta-analysis for serum miRNA's prognostic value in osteosarcoma. In this study, the literature available from PubMed, Web of Science, Embase, and Cochrane Library databases was reviewed. The pooled hazard ratios (HRs) with their 95% confidence intervals (CIs) were calculated to evaluate miRNAs prognostic values. A total of 20 studies investigating serum miRNAs were included in this meta-analysis; the initial terminal point of these reports included overall survival (OS), progression-free survival (PFS), disease-free survival (DFS), and recurrence-free survival (RFS). For prognostic meta-analyses, the pooled HR for terminal events of higher expression of miRNAs and lower expression of miRNAs were 5.68 (95% CI 4.73-6.82,

Indexed as

biomarkermeta-analysismiRNAosteosarcomaprognosisserum

Identifiers

PMID32849795
PMCPMC7431663
OpenAlexW3048660751

What OpenQuestion holds

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LicenceCC BY
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.