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Blood biomarkers for the non-invasive diagnosis of endometriosis

机译:血液生物标志物用于子宫内膜异位症的非侵入性诊断

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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.
机译:背景技术大约10%的育龄妇女患有子宫内膜异位症(子宫内膜异位症),这是一种昂贵的慢性疾病,会引起盆腔疼痛和不孕。腹腔镜检查是子宫内膜异位症的金标准诊断测试,但价格昂贵且存在手术风险。当前,在临床实践中没有可用于准确诊断子宫内膜异位的无创或微创测试。尽管其他评论对血液测试诊断子宫内膜异位症的能力进行了评估,但这是首次使用Cochrane方法的评论,提供了该领域迅速发展的文献的最新信息。目的评估血液生物标志物,作为诊断性手术的替代测试和分类检查法,以告知子宫内膜异位症手术决策。具体目标包括:1.与作为参考标准的手术诊断相比,提供血液生物标志物诊断腹膜,卵巢和深层浸润性盆腔子宫内膜异位症的诊断准确性的简要估算。 2.评估可区分卵巢子宫内膜瘤与其他卵巢肿块的生物标志物的诊断效用。搜索方法我们没有将搜索限制为特定的研究设计,语言或出版日期。我们搜索了2015年7月的CENTRAL,2015年5月的MEDLINE和EMBASE以及2015年4月20日的以下数据库:CINAHL,PsycINFO,Web of Science,LILACS,OAIster,TRIP,ClinicalTrials.gov,DARE和PubMed。选择标准我们考虑了任何规模的已发表,同行评审,随机对照或横断面研究,包括前瞻性收集的怀疑患有以下一种或多种以下目标疾病状况的任何生育年龄妇女的样本:卵巢,腹膜或深部浸润性子宫内膜异位症(DIE)。我们纳入的研究将一种或多种血液生物标志物的诊断测试准确性与子宫内膜异位病变的手术可视化结果进行了比较。数据收集和分析两位作者独立收集并对每个研究的数据进行了质量评估。对于每个诊断测试,我们将子宫内膜异位症的外科手术检测数据归为阳性或阴性,并计算了敏感性和特异性估计值。只要有足够的数据集,我们就使用双变量模型来获得敏感性和特异性的合并估计。临床上可用于代替诊断性手术的血液测试的预定标准是,检测子宫内膜异位的敏感性为0.94,特异性为0.79。我们将分类诊断的标准设置为灵敏度> = 0.95和特异性>> 0.50,如果检测结果为阴性(SnOUT测试)或灵敏度> =,则“排除”了诊断的准确性。 0.50且特异性>> 0.95,如果结果呈阳性(SpIN测试),则可以高度准确地“诊断”诊断。主要结果我们纳入了141项研究,涉及15,141名参与者,评估了122种血液生物标志物。所有研究的方法学质量均较差。研究评估了在月经周期的特定阶段或与周期无关的血液生物标志物,并在血清,血浆或全血中对其进行了测试。纳入的妇女是子宫内膜异位症发生率较高(10%至85%)的选定人群,其中手术适用于子宫内膜异位症,不育检查或卵巢肿块。七十项研究评估了47种血液生物标记物对子宫内膜异位症的诊断性能(44种单标记物测试和30种针对2至6种血液生物标记物的组合测试)。这些是血管生成/生长因子,凋亡标志物,细胞粘附分子,高通量标志物,激素标志物,免疫系统/炎症标志物,氧化应激标志物,microRNA,肿瘤标志物和其他蛋白质。这些生物标记物中的大多数是在小型个体研究中评估的,经常使用不同的临界阈值,而且我们只能对抗子宫内膜抗体,白介素-6(IL-6),癌症抗原19.9的数据集进行荟萃分析。 (CA-19.9)和CA-125。在每个生物标记物的研究之间,诊断估计值差异很大,CA-125是唯一具有足够数据可靠地评估异质性来源的标记物。抗子宫内膜抗体的平均敏感性和特异性(4项研究,759名女性)分别为0.81(95%置信区间(CI)0.76至0.87)和0.75(95%CI 0.46至1.00)。对于IL-6,其截断值> 1.90至2.00 pg / ml(3个研究,309名女性),敏感性为0.63(95%CI为0.52至0.75),特异性为0.69(95%CI为0.57至0.82) 。对于CA-19.9,其截断值> 37.0 IU / ml(3个研究,330位女性),敏感性为0.36(95%CI为0.26至0.45),特异性为0.87(95%CI为0.75至0.99)。研究评估了CA-125的不同阈值,表现出以下平均敏感性和特异性:截止值> 10.0至14.7 U / ml:0.70(95%CI 0.63至0.77)和0.64(95%CI 0.47至0.82);截留值> 16.0至17.6 U / ml:0.56(95%CI 0.24,0.88)和0.91(95%CI 0.75,1.00);截止值> 20.0 U / ml:0.67(95%CI 0.50至0.85)和0.69(95%CI 0.58至0.80);截留值> 25.0至26.0 U / ml:0.73(95%CI 0.67至0.79)和0.70(95%CI 0.63至0.77);截留值> 30.0至33.0 U / ml:0.62(95%CI 0.45至0.79)和0.76(95%CI 0.53至1.00);截止值> 35.0至36.0 U / ml:0.40(95%CI为0.32至0.49)和0.91(95%CI为0.88至0.94)。我们无法在统计学上有意义地评估其他生物标志物,包括已评估其区分子宫内膜瘤与其他良性卵巢囊肿的能力的生物标志物。八十二项研究评估了97种生物标志物,这些标志物并未将子宫内膜异位症妇女与无病对照区分开来。其中,有22种生物标志物显示出相互矛盾的结果,有些研究显示差异表达,而另一些研究没有证据表明子宫内膜异位症与对照组之间存在差异。作者的结论在进行荟萃分析的生物标志物中,没有一个始终符合替代或分类诊断测试的标准。血液生物标志物的一部分可能被证明对检测盆腔子宫内膜异位症或将卵巢子宫内膜瘤与其他良性卵巢肿块区分开有用,但没有足够的证据得出有意义的结论。总体而言,没有任何一种生物标志物显示出足够的准确性,无法在研究环境以外的临床上使用。我们还鉴定了在子宫内膜异位症中没有诊断价值的血液生物标志物,并建议将研究资源集中在评估其他更具临床意义的生物标志物上。

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