基于个体化风险评估的个性化医疗决策:实体瘤基因组分类器的系统综述

该数据集为实体瘤基因组分类器系统综述的结构化文献数据,聚焦于个性化医疗风险评估。

Figshare
2017-05-10 更新
浏览 13
表格PROSPEROpre-specified inclusion criteriacustomize cancer treatmentsCRDEMBASEnon-breast cancer GCsgenomic classifiersCINAHL
Towards decision-making using individualized risk estimates for personalized medicine: A systematic review of genomic classifiers of solid tumors

基本信息

模态
表格
大小
0.000216689 GB
许可
CC BY 4.0
创建/更新时间
2017-05-10
版本
v1

资源简介

基于个体化风险评估的个性化医疗决策:实体瘤基因组分类器的系统综述

【数据集背景】

本数据集源站标题为《Towards decision-making using individualized risk estimates for personalized medicine: A systematic review of genomic classifiers of solid tumors》。配套论文《Towards decision-making using individualized risk estimates for personalized medicine: A systematic review of genomic classifiers of solid tumors》发表于 PLOS ONE(2017),DOI:10.1371/journal.pone.0176388。源站首次发布:2017-05-09。

【数据内容】

源站原始描述:Recent advances in the understanding of the genetic underpinnings of cancer offer the promise to customize cancer treatments to the individual through the use of genomic classifiers (GCs). At present, routine clinical utilization of GCs is uncommon and their current scope and status, in a broad sense, are unknown. As part of a registered review (PROSPERO 2014:CRD42014013371), we systematically reviewed the literature evaluating the utility of commercially available GCs by searching Ovid Medline…

【数据结构与技术规格】

文件数 2 个,合计 216.69 KB。S1 File.pdf:application/pdf,152.69 KB。S2 File.doc:application/msword,64.00 KB。数据集 DOI:10.1371/journal.pone.0176388。

【主题与分类】

源站学科分类:Space Science、Medicine、Pharmacology、Biotechnology、Chemical Sciences not elsewhere classified、Biological Sciences not elsewhere classified。主题标签:PROSPERO、pre-specified inclusion criteria、customize cancer treatments、CRD、EMBASE、non-breast cancer GCs、genomic classifiers、CINAHL。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Towards_decision-making_using_individualized_risk_estimates_for_personalized_medicine_A_systematic_review_of_genomic_classifiers_of_solid_tumors/4987547

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Trifiletti, Daniel M.; Sturz, Vanessa N.; N. Showalter, Timothy; Lobo, Jennifer M. (2017). Towards decision-making using individualized risk estimates for personalized medicine: A systematic review of genomic classifiers of solid tumors. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "S1 File.pdf" "https://ndownloader.figshare.com/files/8404844"
curl -L -o "S2 File.doc" "https://ndownloader.figshare.com/files/8404847"

文件清单

  • S1 File.pdf(152.69 KB)
  • S2 File.doc(64.00 KB)

文件总体积 216.69 KB(源站 API 实测)。

数据说明

Recent advances in the understanding of the genetic underpinnings of cancer offer the promise to customize cancer treatments to the individual through the use of genomic classifiers (GCs). At present, routine clinical utilization of GCs is uncommon and their current scope and status, in a broad sense, are unknown. As part of a registered review (PROSPERO 2014:CRD42014013371), we systematically reviewed the literature evaluating the utility of commercially available GCs by searching Ovid Medline (PubMed), EMBASE, the Cochrane Database of Systematic Reviews, and CINAHL on September 2, 2014. We excluded articles involving pediatric malignancies, non-solid or non-invasive cancers, hereditary risk of cancer, non-validated GCs, and GCs involving fewer than 3 biomarkers. A total of 3,625 studies were screened, but only 37 met the pre-specified inclusion criteria. Of these, 15 studies evaluated outcomes and clinical utility of GCs through clinical trials, and the remainder through the use of mathematical models. Most studies (29 of 37) were specific to hormone-receptor positive breast cancer, whereas only 4 studies evaluated GCs in non-breast cancer (prostate, colon, and lung cancers). GCs have spurred excitement across disciplines in recent decades. While there are several GCs that have been validated, the general quality of the data are weak. Further research, including prospective validation is needed, particularly in the non-breast cancer GCs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0176388(source: https://plos.figshare.com/articles/dataset/Towards_decision-making_using_individualized_risk_estimates_for_personalized_medicine_A_systematic_review_of_genomic_classifiers_of_solid_tumors/4987547)。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。