Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK)

概化理论 背景(考古学) 医学 报告审判综合标准 多样性(控制论) 肿瘤标志物 语句(逻辑) 癌症 临床试验 心理学 病理 内科学 计算机科学 政治学 人工智能 古生物学 发展心理学 法学 生物
作者
Lisa M. McShane,Douglas G. Altman,Willi Sauerbrei,Sheila E. Taube,Massimo Gion,Gary M. Clark
出处
期刊:Journal of the National Cancer Institute [Oxford University Press]
卷期号:97 (16): 1180-1184 被引量:2077
标识
DOI:10.1093/jnci/dji237
摘要

Despite years of research and hundreds of reports on tumor markers in oncology, the number of markers that have emerged as clinically useful is pitifully small. Often, initially reported studies of a marker show great promise, but subsequent studies on the same or related markers yield inconsistent conclusions or stand in direct contradiction to the promising results. It is imperative that we attempt to understand the reasons that multiple studies of the same marker lead to differing conclusions. A variety of methodologic problems have been cited to explain these discrepancies. Unfortunately, many tumor marker studies have not been reported in a rigorous fashion, and published articles often lack sufficient information to allow adequate assessment of the quality of the study or the generalizability of study results. The development of guidelines for the reporting of tumor marker studies was a major recommendation of the National Cancer Institute-European Organisation for Research and Treatment of Cancer (NCI-EORTC) First International Meeting on Cancer Diagnostics in 2000. As for the successful CONSORT initiative for randomized trials and for the STARD statement for diagnostic studies, we suggest guidelines to provide relevant information about the study design, preplanned hypotheses, patient and specimen characteristics, assay methods, and statistical analysis methods. In addition, the guidelines suggest helpful presentations of data and important elements to include in discussions. The goal of these guidelines is to encourage transparent and complete reporting so that the relevant information will be available to others to help them to judge the usefulness of the data and understand the context in which the conclusions apply.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
二狗子哥完成签到,获得积分10
1秒前
夏傥发布了新的文献求助10
1秒前
小狒狒完成签到,获得积分10
3秒前
坐雨赏花完成签到 ,获得积分10
4秒前
nonory完成签到,获得积分10
4秒前
单纯的自行车完成签到,获得积分10
5秒前
linzhuo完成签到,获得积分10
5秒前
学海星辰给虚心函的求助进行了留言
6秒前
7秒前
科研通AI6.2应助GSW采纳,获得10
7秒前
8秒前
8秒前
9秒前
科研狗发布了新的文献求助10
10秒前
我是大眼猫完成签到,获得积分10
10秒前
10秒前
小马甲应助caicaicai采纳,获得10
11秒前
99发布了新的文献求助10
13秒前
14秒前
Rainbow完成签到,获得积分10
15秒前
春暖花开完成签到 ,获得积分10
15秒前
jmtftn完成签到,获得积分10
15秒前
One发布了新的文献求助10
15秒前
GT完成签到,获得积分10
16秒前
自然以冬发布了新的文献求助10
16秒前
16秒前
17秒前
朝夕之晖发布了新的文献求助10
17秒前
小白在努力完成签到,获得积分10
18秒前
科研狗应助zbxwlz采纳,获得100
20秒前
teadan完成签到 ,获得积分10
21秒前
zhanhong完成签到,获得积分10
23秒前
23秒前
abilatien完成签到,获得积分10
23秒前
伶俐初蓝发布了新的文献求助10
23秒前
姜1发布了新的文献求助10
23秒前
素月完成签到,获得积分10
23秒前
25秒前
乐乐应助自然以冬采纳,获得10
25秒前
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7716437
求助须知:如何正确求助?哪些是违规求助? 9271255
关于积分的说明 20085490
捐赠科研通 7292679
什么是DOI,文献DOI怎么找? 3298801
关于科研通互助平台的介绍 2452925
邀请新用户注册赠送积分活动 2306178