Evidence map›Paper›PMID 30868060›Full record

ArticleFEBS open bio2019

A risk score model for the prediction of osteosarcoma metastasis.

Siqi Dong, Hongjun Huo, Yu Mao, Xin Li, Lixin Dong

Open access · goldAbstract read
In one paragraph

Article in FEBS open bio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Risk score model of autophagy-related genes in osteosarcoma.Annals of translational medicine · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Siqi DongSurgeon of Orthopedics Department II First Hospital of Qin Huangdao China.
Hongjun HuoBaotou Medical College China.
Yu MaoDepartment of Oncology First Hospital of Qinhuangdao China.
Xin LiDepartment of Oncology First Hospital of Qinhuangdao China.
Lixin DongDepartment of Oncology First Hospital of Qinhuangdao China.
First Hospital of Qinhuangdao · CNBaotou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is the most common primary solid malignancy of the bone, and its high mortality usually correlates with early metastasis. In this study, we developed a risk score model to help predict metastasis at the time of diagnosis. We downloaded and mined four expression profile datasets associated with osteosarcoma metastasis from the Gene Expression Omnibus. After data normalization, we performed LASSO logistic regression analysis together with 10-fold cross validation using the GSE21257 dataset. A combination of eight genes (

Indexed as

Bone NeoplasmsDatabases, GeneticGene Expression ProfilingHumansLogistic ModelsLung NeoplasmsOligonucleotide Array Sequence AnalysisOsteosarcomaRisk FactorsROC CurveSignal Transductionmetastasis: bioinformatic analysisosteosarcomarisk score model

Identifiers

PMID30868060
PMCPMC6396159
OpenAlexW2910301764

What OpenQuestion holds

Textmetadata
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.