Blood biomarkers for the non-invasive diagnosis of endometriosis

子宫内膜异位症 医学 盆腔疼痛 腹腔镜检查 金标准(测试) 梅德林 人口 妇科 普通外科 外科 内科学 政治学 环境卫生 法学
作者
Vicki Nisenblat,Patrick M. Bossuyt,Rabia Shaikh,Cindy Farquhar,Vanessa Jordan,Carola S Scheffers,Ben W. Mol,Neil Johnson,M. Louise Hull
出处
期刊:The Cochrane library [Elsevier BV]
卷期号:2016 (5) 被引量:287
标识
DOI:10.1002/14651858.cd012179
摘要

Background About 10% of reproductive‐aged women suffer from endometriosis, a costly chronic disease causing pelvic pain and subfertility. Laparoscopy is the gold standard diagnostic test for endometriosis, but is expensive and carries surgical risks. Currently, there are no non‐invasive or minimally invasive tests available in clinical practice to accurately diagnose endometriosis. Although other reviews have assessed the ability of blood tests to diagnose endometriosis, this is the first review to use Cochrane methods, providing an update on the rapidly expanding literature in this field. Objectives To evaluate blood biomarkers as replacement tests for diagnostic surgery and as triage tests to inform decisions on surgery for endometriosis. Specific objectives include: 1. To provide summary estimates of the diagnostic accuracy of blood biomarkers for the diagnosis of peritoneal, ovarian and deep infiltrating pelvic endometriosis, compared to surgical diagnosis as a reference standard. 2. To assess the diagnostic utility of biomarkers that could differentiate ovarian endometrioma from other ovarian masses. Search methods We did not restrict the searches to particular study designs, language or publication dates. We searched CENTRAL to July 2015, MEDLINE and EMBASE to May 2015, as well as these databases to 20 April 2015: CINAHL, PsycINFO, Web of Science, LILACS, OAIster, TRIP, ClinicalTrials.gov, DARE and PubMed. Selection criteria We considered published, peer‐reviewed, randomised controlled or cross‐sectional studies of any size, including prospectively collected samples from any population of reproductive‐aged women suspected of having one or more of the following target conditions: ovarian, peritoneal or deep infiltrating endometriosis (DIE). We included studies comparing the diagnostic test accuracy of one or more blood biomarkers with the findings of surgical visualisation of endometriotic lesions. Data collection and analysis Two authors independently collected and performed a quality assessment of data from each study. For each diagnostic test, we classified the data as positive or negative for the surgical detection of endometriosis, and we calculated sensitivity and specificity estimates. We used the bivariate model to obtain pooled estimates of sensitivity and specificity whenever sufficient datasets were available. The predetermined criteria for a clinically useful blood test to replace diagnostic surgery were a sensitivity of 0.94 and a specificity of 0.79 to detect endometriosis. We set the criteria for triage tests at a sensitivity of ≥ 0.95 and a specificity of ≥ 0.50, which 'rules out' the diagnosis with high accuracy if there is a negative test result (SnOUT test), or a sensitivity of ≥ 0.50 and a specificity of ≥ 0.95, which 'rules in' the diagnosis with high accuracy if there is a positive result (SpIN test). Main results We included 141 studies that involved 15,141 participants and evaluated 122 blood biomarkers. All the studies were of poor methodological quality. Studies evaluated the blood biomarkers either in a specific phase of the menstrual cycle or irrespective of the cycle phase, and they tested for them in serum, plasma or whole blood. Included women were a selected population with a high frequency of endometriosis (10% to 85%), in which surgery was indicated for endometriosis, infertility work‐up or ovarian mass. Seventy studies evaluated the diagnostic performance of 47 blood biomarkers for endometriosis (44 single‐marker tests and 30 combined tests of two to six blood biomarkers). These were angiogenesis/growth factors, apoptosis markers, cell adhesion molecules, high‐throughput markers, hormonal markers, immune system/inflammatory markers, oxidative stress markers, microRNAs, tumour markers and other proteins. Most of these biomarkers were assessed in small individual studies, often using different cut‐off thresholds, and we could only perform meta‐analyses on the data sets for anti‐endometrial antibodies, interleukin‐6 (IL‐6), cancer antigen‐19.9 (CA‐19.9) and CA‐125. Diagnostic estimates varied significantly between studies for each of these biomarkers, and CA‐125 was the only marker with sufficient data to reliably assess sources of heterogeneity. The mean sensitivities and specificities of anti‐endometrial antibodies (4 studies, 759 women) were 0.81 (95% confidence interval (CI) 0.76 to 0.87) and 0.75 (95% CI 0.46 to 1.00). For IL‐6, with a cut‐off value of > 1.90 to 2.00 pg/ml (3 studies, 309 women), sensitivity was 0.63 (95% CI 0.52 to 0.75) and specificity was 0.69 (95% CI 0.57 to 0.82). For CA‐19.9, with a cut‐off value of > 37.0 IU/ml (3 studies, 330 women), sensitivity was 0.36 (95% CI 0.26 to 0.45) and specificity was 0.87 (95% CI 0.75 to 0.99). Studies assessed CA‐125 at different thresholds, demonstrating the following mean sensitivities and specificities: for cut‐off > 10.0 to 14.7 U/ml: 0.70 (95% CI 0.63 to 0.77) and 0.64 (95% CI 0.47 to 0.82); for cut‐off > 16.0 to 17.6 U/ml: 0.56 (95% CI 0.24, 0.88) and 0.91 (95% CI 0.75, 1.00); for cut‐off > 20.0 U/ml: 0.67 (95% CI 0.50 to 0.85) and 0.69 (95% CI 0.58 to 0.80); for cut‐off > 25.0 to 26.0 U/ml: 0.73 (95% CI 0.67 to 0.79) and 0.70 (95% CI 0.63 to 0.77); for cut‐off > 30.0 to 33.0 U/ml: 0.62 (95% CI 0.45 to 0.79) and 0.76 (95% CI 0.53 to 1.00); and for cut‐off > 35.0 to 36.0 U/ml: 0.40 (95% CI 0.32 to 0.49) and 0.91 (95% CI 0.88 to 0.94). We could not statistically evaluate other biomarkers meaningfully, including biomarkers that were assessed for their ability to differentiate endometrioma from other benign ovarian cysts. Eighty‐two studies evaluated 97 biomarkers that did not differentiate women with endometriosis from disease‐free controls. Of these, 22 biomarkers demonstrated conflicting results, with some studies showing differential expression and others no evidence of a difference between the endometriosis and control groups. Authors' conclusions Of the biomarkers that were subjected to meta‐analysis, none consistently met the criteria for a replacement or triage diagnostic test. A subset of blood biomarkers could prove useful either for detecting pelvic endometriosis or for differentiating ovarian endometrioma from other benign ovarian masses, but there was insufficient evidence to draw meaningful conclusions. Overall, none of the biomarkers displayed enough accuracy to be used clinically outside a research setting. We also identified blood biomarkers that demonstrated no diagnostic value in endometriosis and recommend focusing research resources on evaluating other more clinically useful biomarkers.

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
dd应助请叫我盒子采纳,获得10
刚刚
陈瀚岳发布了新的文献求助10
1秒前
613完成签到 ,获得积分20
2秒前
科研通AI6.3应助昵称采纳,获得10
3秒前
丘比特应助yb716采纳,获得10
4秒前
大树完成签到 ,获得积分10
4秒前
超级小夏完成签到,获得积分10
4秒前
7秒前
ding应助Yzh666采纳,获得20
8秒前
8秒前
9秒前
11秒前
科研小菜鸟完成签到,获得积分10
12秒前
安静的沉鱼完成签到,获得积分20
13秒前
Orange应助冰激凌采纳,获得10
13秒前
ming2026发布了新的文献求助10
13秒前
东东发布了新的文献求助10
14秒前
壳壳完成签到,获得积分10
15秒前
16秒前
zzy发布了新的文献求助30
16秒前
aertom完成签到,获得积分0
17秒前
18秒前
ming2026发布了新的文献求助10
19秒前
win完成签到 ,获得积分10
19秒前
核桃应助赤侠采纳,获得50
20秒前
0x3f发布了新的文献求助10
21秒前
英俊的铭应助sang采纳,获得10
21秒前
GRJ发布了新的文献求助10
21秒前
win关注了科研通微信公众号
23秒前
23秒前
24秒前
ming2026发布了新的文献求助10
24秒前
bkagyin应助猕猴桃猴采纳,获得10
25秒前
火星上的菲鹰应助七七采纳,获得10
26秒前
白白白发布了新的文献求助10
28秒前
如意的醉蓝发布了新的文献求助100
29秒前
ming2026发布了新的文献求助10
29秒前
29秒前
huanger完成签到,获得积分10
30秒前
Lebesgue完成签到 ,获得积分10
30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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 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 7316686
求助须知:如何正确求助?哪些是违规求助? 8932642
关于积分的说明 18936183
捐赠科研通 6976674
什么是DOI,文献DOI怎么找? 3214079
关于科研通互助平台的介绍 2382032
邀请新用户注册赠送积分活动 2192838