Evidence map›Paper›PMID 32765697›Full record

ArticleExperimental and therapeutic medicine2020

A validated miRNA signature for the diagnosis of osteoporosis related fractures using SVM algorithm classification.

Xiaolin Tang, Yinshan Bai, Zhiming Zhang, Jianlin Lu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 41% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The Osteoporosis/Microbiota Linkage: The Role of miRNA.International journal of molecular sciences · 2020
    Review
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

4 authors at 2 institutions in 1 country.

Xiaolin TangDepartment of Medical Science, Shunde Polytechnic, Foshan, Guangdong 528300, P.R. China.
Yinshan BaiLife Science and Engineering College, Foshan University, Foshan, Guangdong 528231, P.R. China.
Zhiming ZhangDepartment of Medical Science, Shunde Polytechnic, Foshan, Guangdong 528300, P.R. China.
Jianlin LuDepartment of Medical Science, Shunde Polytechnic, Foshan, Guangdong 528300, P.R. China.
Shunde Polytechnic · CNFoshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to develop a circulating microRNA expression signature for early prediction of osteoporotic fractures and to validate the results using Gene Expression Omnibus (GEO) datasets. The GSE70318 dataset was downloaded from GEO and used to build an osteoporotic fracture prediction model based on the receiver operating characteristic curve and support vector machine (SVM) classification index. The GSE74209 dataset was used as a validation dataset. Additionally,

Indexed as

fracturemicroRNAosteoporosisreceiver operating characteristicsupport vector machine

Identifiers

PMID32765697
PMCPMC7401749
OpenAlexW3037909008

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.