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考克兰新生儿协作网的未来。

The future of Cochrane Neonatal.

作者信息

Soll Roger F, Ovelman Colleen, McGuire William

机构信息

Larner College of Medicine at the University of Vermont, Burlington, VT, USA; Vermont Oxford Network, Burlington, VT, USA.

Vermont Oxford Network, Burlington, VT, USA.

出版信息

Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

Abstract

Cochrane Neonatal was first established in 1993, as one of the original review groups of the Cochrane Collaboration. In fact, the origins of Cochrane Neonatal precede the establishment of the collaboration. In the 1980's, the National Perinatal Epidemiology Unit at Oxford, led by Dr. Iain Chalmers, established the "Oxford Database of Perinatal Trials" (ODPT), a register of virtually all randomized controlled trials in perinatal medicine to provide a resource for reviews of the safety and efficacy of interventions used in perinatal care and to foster cooperative and coordinated research efforts in the perinatal field [1]. An effort that was clearly ahead of its time, ODPT comprised four main elements: a register of published reports of trials; a register of unpublished trials; a register of ongoing and planned trials; and data derived from pooled overviews (meta-analyses) of trials. This core effort grew into the creation of the seminal books, "Effective Care in Pregnancy and Childbirth" as well as "Effective Care of the Newborn Infant" [2,3]. As these efforts in perinatal medicine grew, Iain Chalmers thought well beyond perinatal medicine into the creation of a worldwide collaboration that became Cochrane [4]. The mission of the Cochrane Collaboration is to promote evidence-informed health decision-making by producing high-quality, relevant, accessible systematic reviews and other synthesized research evidence (www.cochrane.org). Cochrane Neonatal has continued to be one of the most productive review groups, publishing between 25 tpo to 40 new or updated systematic reviews each year. The impact factor has been steadily increasing over four years and now rivals most of the elite journals in pediatric medicine. Cochrane Neonatal has been a worldwide effort. Currently, there are 404 reviews involving 1206 authors from 52 countries. What has Cochrane done for babies? Reviews from Cochrane Neonatal have informed guidelines and recommendations worldwide. From January 2018 through June 2020, 77 international guidelines cited 221 Cochrane Neonatal reviews. These recommendations have included recommendations of the use of postnatal steroids, inhaled nitric oxide, feeding guidelines for preterm infants and other core aspects of neonatal practice. In addition, Cochrane Reviews has been the impetus for important research, including the large-scale trial of prophylactic indomethacin therapy, a variety of trials of postnatal steroids, trials of emollient ointment and probiotic trials [6]. While justifiably proud of these accomplishments, one needs to examine the future contribution of Cochrane Neonatal to the neonatal community. The future of Cochrane Neonatal is inexorably linked to the future of neonatal research. Obviously, there is no synthesis of trials data if, as a community, we fail to provide the core substrate for that research. As we look at the current trials' environment, fewer randomized controlled trial related to neonates are being published in recent years. A simple search of PubMed, limiting the search to "neonates" and "randomized controlled trials" shows that in the year 2000, 321 randomized controlled trials were published. These peaked five years ago, in 2015, with close to 900 trials being published. However, in 2018, only 791 studies are identified. Does this decrease represent a meaningful change in the neonatal research environment? Quite possibly. There are shifting missions of clinical neonatology at academic medical institutions, at least in the United States, with a focus on business aspects as well as other important competing clinical activities. Quality improvement has taken over as one of the major activities at both private and academic neonatal practices. Clearly, this is a needed improvement. All units at levels need to be dedicated to improving the outcomes of the sick and fragile population we care for. However, this need not be at the expense of formal clinical trials. It is understandable that this approach would be taken. Newer interventions frequently relate to complex systems of care and not the simple single interventions. Even trials that might traditionally have been done as randomized controlled trials, such as the introduction of a new mode of ventilation, are in reality complex challenges to the ability of institutions to create systems to adapt to these new technologies. Cost of doing trials has always been a barrier. The challenging regulatory and ethical environment contributes to these problems as well [7]. Despite these barriers, how does the research agenda of the neonatal community move forward in the 21st Century? We need to reassess how we create and disseminate our research findings. Innovative trial designs will allow us to address complex issues that we may not have tackled with conventional trials. Adaptive designs may allow us to look at potentially life-saving therapies in a way that feel more efficient and more ethical [8]. Clarifying issues such as the use of inhaled nitric oxide in preterm infants would be greatly served if we even knew whether or not there are hypoxemic preterm infant who would benefit from this therapy [9]. Current trials do not suggest so, yet current practice tells us that a significant number of these babies will receive inhaled nitric oxide [10-13]. Adaptive design, such as those done with trials of extracorporeal membrane oxygenation (ECMO), would allow us to quickly assess whether, in fact, these therapies are life-saving and allow us to consider whether or not further trials are needed [14,15]. Our understanding that many interventions involve entire systems approaches does not relegate us only to doing quality improvement work. Cluster designs may allow us to test more complex interventions that have usually been under the purview of quality improvement [16-18]. Cluster trials are well suited for such investigations and can be done with the least interruption to ongoing care. Ultimately, quality improvement is the application of the best evidence available (evidence-based medicine is "what to do" and evidence-based practice is "how to do"). [19,20]. Nascent efforts, such as the statement on "embedding necessary research into culture and health" (the ENRICH statement) call for the conduct of large, efficient pragmatic trials to evaluate neonatal outcomes, as in part called for in the ALPHA Collaboration [21,22]. This statement envisions an international system to identify important research questions by consulting regularly with all stakeholders, including patients, public health professionals, researchers, providers, policy makers, regulators, funders of industry. The ENRICH statement envisions a pathway to enable individuals, educational institutions, hospitals and health-care facilities to confirm their status as research-friendly by integrating an understanding of trials, other research and critical thinking and to teaching learning and culture, as well as an engagement with funders, professional organizations and regulatory bodies and other stake holders to raise awareness of the value of efficient international research to reduce barriers to large international pragmatic trials and other collaborative studies. In the future, if trials are to be done on this scale or trials are prospectively designed to be analyzed together, core outcome measures must be identified and standardized. That clinical trials supply estimates of outcomes that are relevant to patients and their families is critical. In addition, current neonatal research evaluates many different outcomes using multiple measures. A given measure can have multiple widely used definitions. Bronchopulmonary dysplasia (or chronic lung disease just to add to the confusion) quickly comes to mind [23,24]. The use of multiple definitions when attempting to measure the same outcome prevents synthesis of trial results and meta-analysis and hinders efforts to refine our estimates of effects. Towards that end, Webbe and colleagues have set out to develop a core outcome set for neonatal research [25]. Key stakeholders in the neonatal community reviewed multiple outcomes reported in neonatal trials and qualitative studies. Based on consensus, key outcome measures were identified, including survival, sepsis, necrotizing enterocolitis, brain injury on imaging, retinopathy or prematurity, gross motor ability, general cognitive ability, quality of life, adverse events, visual impairment or blindness, hearing impairment or deafness, chronic lung disease/bronchopulmonary dysplasia. Trials registration has to be a continued focus of the neonatal community. Trials registration allows for systematic reviewers to understand whether or not reporting bias has occurred [26]. It also allows for transparent incorporation of these core outcome measures. Ultimately, trials registration should include public reporting of all of these core outcomes and, in the future, access to data on an individual level such that more sophisticated individual patient data meta-analysis could occur. Lastly, there is no reason to see clinical trials and quality improvement as separate or exclusive activities. In fact, in the first NICQ Collaborative, conducted by Vermont Oxford Network, participation in a trial of postnatal steroids was considered part of the quality improvement best practices as opposed to simply choosing an as-of-yet unproven approach to use of this potent drug [27]. What role will Cochrane Neonatal play as we move forward in the 21st Century? As the neonatal community moves forward with its' research agenda, Cochrane Neonatal must not only follow but also lead with innovative approaches to synthesizing research findings. Cochrane Neonatal must continue to work closely with guideline developers. The relationship between systematic review production and guideline development is clearly outlined in reports from the Institute of Medicine [28,29]. Both are essential to guideline development; the systematic review group culling the evidence for the benefits and harms of a given intervention and the guideline group addressing the contextual issues of cost, feasibility, implementation and the values and preferences of individuals and societies. Most national and international guidelines groups now routinely use systematic reviews as the evidence basis for their guidelines and recommendations. Examples of the partnership between Cochrane Neonatal and international guideline development can be seen in our support of the World Health Organization (WHO) guidelines on the use of vitamin A or the soon to be published recommendations from the International Liaison Committee on Resuscitation (ILCOR) on cord management in preterm and term infants [30]. In the future, we need to collaborate early in the guideline development process so that the reviews are fit for purpose and meet the needs of the guideline developers and the end users. Towards this end, all Cochrane Neonatal reviews now contain GRADE assessments of the key clinical findings reported in the systematic review [31]. Addition of these assessments addresses the critical issue of our confidence in the findings. We are most confident in evidence provided by randomized controlled trials but this assessment can be can be downgraded if the studies that reported on the outcome in question had a high risk of bias, indirectness, inconsistency of results, or imprecision, or where there is evidence of reporting bias. Information provided by GRADE assessments is seen as critical in the process of moving from the evidence to formal recommendations [32]. We need to explore complex reviews, such as network (NMA) or multiple treatment comparison (MCT) meta-analyses, to address issues not formally addressed in clinical trials [33]. In conditions where there are multiple effective interventions, it is rare for all possible interventions to have been tested against each other [34]. A solution could be provided by network meta-analysis, which allows for comparing all treatments with each other, even if randomized controlled trials are not available for some treatment comparisons [34]. Network meta-analysis uses both direct (head-to-head) randomized clinical trial (RCT) evidence as well as indirect evidence from RCTs to compare the relative effectiveness of all included interventions [35]. However, Mills and colleagues note that the methodological quality of MTCs may be difficult for clinicians to interpret because the number of interventions evaluated may be large and the methodological approaches may be complex [35]. Cochrane Neonatal must take a role in both the creation of such analyses and the education of the neonatal community regarding the pitfalls of such an approach. The availability of individual patient data will make more sophisticated analyses more available to the community. Although the current crop of individual patient data meta-analyses (including the reviews of elective high frequency ventilation, inhaled nitric oxide and oxygen targets) have not differed substantially from the findings of the trials level reviews (suggesting that, in fact, sick neonates are more alike that unalike), there still will be a large role for individual patient data meta-analysis, at least to end the unfound conclusions that these therapies are effective in various subgroups (be it issues of sex, disease severity, or clinical setting) [36-39]. Future trials should take a lesson from the NeOProM Collaborative [37,39]. Given the difficulty in generating significant sample size and creating funding in any single environment, trials with similar protocols should be conducted in a variety of healthcare settings with an eye towards both study level and individual patient level meta-analysis at the conclusion of those trials, allowing for broader contribution to the trials data, more rapid accrual of sample size, and more precise results. We need to educate the neonatal community regarding the use and abuse of diagnostic tests. Diagnostic tests are a critical component of healthcare but also contribute greatly to the cost of medical care worldwide. These costs include the cost of the tests themselves and the costs of misdiagnosis and treatment of individuals who will not benefit from those treatments. Clinicians may have a limited understanding of diagnostic test accuracy, the ability of a diagnostic test to distinguish between patients with and without the disease or target condition [41,42]. Efforts such as Choosing Wisely have tried to identify these deficiencies [40]. As Cochrane has increased the general literacy of both the medical and general population regarding the interpretation of the results of interventions on various diseases, so should Cochrane move forward and improve the understanding of diagnostic testing. We need to become more efficient at creating and maintaining our reviews. The time spent to produce systematic reviews is far too great. In average, it takes between 2½ to 6½ years to produce a systematic review, requiring intense time input for highly trained and expensive experts. Innovations in the ways in which we produce systematic reviews can make the review process more efficient by outsourcing some of the tasks or crowdsourcing to machine learning. We need to let the crowd and machine learning innovations help us sort the massive amounts of information needed to conduct systematic reviews. It can also allow for "live" updating of critical reviews where the research landscape is quickly changing [43]. Lastly, Cochrane Neonatal must focus more on users of the reviews and not necessarily authors of the reviews. Current Cochrane programming speaks of Cochrane training with an eye towards developing the skills of individuals who will conduct systematic reviews. While this is clearly needed and laudable, the fact of the matter is that most of the community will be "users" of the reviews. Individuals who need to understand how to use and interpret the findings of systematic reviews. These review users include clinicians, guideline developers, policy makers and families. Incorporation of GRADE guidelines has been a huge step in adding transparency to the level of uncertainty we have in our findings. From a family's perspective, we need to overcome the environment of mistrust or misunderstanding of scientific evidence and how we convey what we know, and our uncertainty about what we know, to parents and families.

摘要

Cochrane新生儿协作网始建于1993年,是Cochrane协作网最初的综述小组之一。事实上,Cochrane新生儿协作网的起源早于该协作网的成立。在20世纪80年代,由伊恩·查尔默斯博士领导的牛津国家围产期流行病学单位建立了“牛津围产期试验数据库”(ODPT),这是一个几乎涵盖围产期医学所有随机对照试验的登记册,旨在为围产期护理中所用干预措施的安全性和有效性综述提供资源,并促进围产期领域的合作与协调研究工作[1]。ODPT这项明显超前于时代的工作包含四个主要要素:已发表试验报告登记册;未发表试验登记册;正在进行和计划中的试验登记册;以及来自试验汇总概述(荟萃分析)的数据。这项核心工作发展成为具有开创性意义的书籍《孕期和分娩期的有效护理》以及《新生儿的有效护理》[2,3]。随着围产期医学领域的这些工作不断发展,伊恩·查尔默斯的思考超越了围产期医学,进而创立了后来的Cochrane全球协作网[4]。Cochrane协作网的使命是通过开展高质量、相关且易于获取的系统综述及其他综合研究证据,来促进基于证据的卫生决策(www.cochrane.org)。Cochrane新生儿协作网一直是成果最为丰硕的综述小组之一,每年发表25至40篇新的或更新的系统综述。其影响因子在四年间稳步上升,如今可与儿科学领域的多数顶尖期刊相媲美。Cochrane新生儿协作网的工作是全球性的。目前,有404篇综述,涉及来自52个国家的1206位作者。Cochrane为婴儿做了什么?Cochrane新生儿协作网的综述为全球范围内的指南制定和建议提供了依据。从2018年1月到2020年6月,77项国际指南引用了221篇Cochrane新生儿协作网的综述。这些建议包括关于产后使用类固醇、吸入一氧化氮(NO)、早产儿喂养指南以及新生儿实践其他核心方面的建议。此外,Cochrane综述推动了重要研究的开展,包括预防性吲哚美辛治疗的大规模试验、多种产后类固醇试验、润肤膏试验和益生菌试验[6]。尽管对这些成就深感自豪,但我们仍需审视Cochrane新生儿协作网对新生儿领域未来的贡献。Cochrane新生儿协作网的未来与新生儿研究的未来紧密相连不可分割。显然,如果作为一个整体,我们未能为该研究提供核心基础数据,就无法进行试验数据的综合分析。审视当前的试验环境,近年来发表的与新生儿相关的随机对照试验越来越少。在PubMed上进行简单搜索,将搜索范围限制在“新生儿”和“随机对照试验”,结果显示在2000年,发表了321项随机对照试验。这些试验数量在五年前的2015年达到峰值,接近900项。然而,在2018年,仅识别出791项研究。这种减少是否代表新生儿研究环境发生了有意义的变化?很有可能。至少在美国,学术医疗机构的临床新生儿学使命正在发生转变,重点转向商业方面以及其他重要的竞争性临床活动。质量改进已成为私立和学术性新生儿实践中的主要活动之一。显然,这是一项必要的改进。各级单位都需要致力于改善我们所照料的患病和脆弱人群的治疗效果。然而,这并不应以牺牲正规临床试验为代价。采取这种方法是可以理解的。新的干预措施通常涉及复杂的护理系统,而非简单的单一干预。即使是传统上可能作为随机对照试验进行的试验,例如引入新的通气模式,实际上对机构创建适应这些新技术的系统的能力而言也是复杂的挑战。进行试验的成本一直是一个障碍。具有挑战性的监管和伦理环境也加剧了这些问题[7]。尽管存在这些障碍,新生儿领域的研究议程在21世纪将如何推进?我们需要重新评估我们创建和传播研究结果方法。创新的试验设计将使我们能够解决一些用传统试验可能无法解决的复杂问题。适应性设计可能使我们能够以一种更高效且更符合伦理的方式研究潜在的挽救生命的疗法[8]。如果我们甚至都不知道是否有低氧血症的早产儿会从吸入NO这种疗法中获益,那么明确诸如早产儿使用吸入NO这类问题将会大有帮助[9]。目前的试验并未表明有这种获益,但当前的实践告诉我们,相当数量的这类婴儿将会接受吸入NO治疗[10 - 13]。适应性设计,例如体外膜肺氧合(ECMO)试验所采用的设计,将使我们能够快速评估这些疗法是否真的能挽救生命,并让我们考虑是否需要进一步的试验[14,15]。我们认识到许多干预措施涉及整个系统方法,但这并不意味着我们只能进行质量改进工作。整群设计可能使我们能够测试通常属于质量改进范畴的更复杂的干预措施[16 - 18]。整群试验非常适合此类研究,并且可以在对日常护理干扰最小情况下进行。最终,质量改进是对现有最佳证据的应用(循证医学是“做什么”,循证实践是“如何做”)[19,20]。诸如“将必要研究融入文化与健康”声明(ENRICH声明)等初步努力呼吁开展大规模、高效的实用试验以评估新生儿结局,这在ALPHA协作中部分有所提及[21,22]。该声明设想建立一个国际系统,通过定期与所有利益相关者(包括患者、公共卫生专业人员、研究人员、提供者、政策制定者、监管者、行业资助者)协商来确定重要的研究问题。ENRICH声明设想了一条途径,使个人、教育机构、医院和医疗保健机构能够通过将对试验、其他研究以及批判性思维的理解融入教学、学习和文化中,并与资助者、专业组织、监管机构及其他利益相关者合作,来确认自己对研究友好的地位,从而提高对高效国际研究价值的认识,减少大规模国际实用试验和其他合作研究的障碍。在未来,如果要进行如此大规模的试验,或者前瞻性地设计试验以便一起分析,就必须确定并标准化核心结局指标。临床试验能够提供与患者及其家庭相关的结局评估,这一点至关重要。此外,当前的新生儿研究使用多种测量方法评估许多不同的结局。对于一个给定的测量指标可能有多个广泛使用的定义。支气管肺发育不良(或者慢性肺病,这只会增加混淆)就是一个很容易想到的例子[23,24]。在试图测量同一结局时使用多个定义会妨碍试验结果的综合分析和荟萃分析,并阻碍我们完善效应估计的努力。为此,韦伯及其同事已着手为新生儿研究制定一套核心结局指标集[25]。新生儿领域的关键利益相关者对新生儿试验和定性研究中报告的多个结局进行了审查。基于共识,确定了关键结局指标,包括生存、败血症、坏死性小肠结肠炎、影像学检查显示的脑损伤、视网膜病变或早产、粗大运动能力、一般认知能力、生活质量、不良事件、视力损害或失明、听力损害或失聪、慢性肺病/支气管肺发育不良。试验注册必须持续成为新生儿领域关注的重点。试验注册使系统综述者能够了解是否发生了报告偏倚[26]。它还允许透明地纳入这些核心结局指标。最终,试验注册应包括所有这些核心结局的公开报告,并且在未来,允许获取个体层面的数据,以便能够进行更复杂的个体患者数据荟萃分析。最后,没有理由将临床试验和质量改进视为相互独立或互斥的活动。事实上,在佛蒙特牛津网络进行的首次NICQ协作中,参与产后类固醇试验被视为质量改进最佳实践的一部分,而不是简单地选择一种尚未得到证实的使用这种强效药物的方法[27]。在我们迈向21世纪的进程中,Cochrane新生儿协作网将发挥怎样的作用?随着新生儿领域推进其研究议程,Cochrane新生儿协作网不仅必须跟进,还必须以创新的方式引领研究结果的综合分析。Cochrane新生儿协作网必须继续与指南制定者密切合作。医学研究所的报告清楚地阐述了系统综述的产生与指南制定之间的关系[28,29]。两者对于指南制定都至关重要;系统综述小组筛选给定干预措施的利弊证据,而指南小组处理成本、可行性、实施以及个人和社会的价值观与偏好等背景问题。现在,大多数国家和国际指南制定小组通常将系统综述用作其指南和建议的证据基础。Cochrane新生儿协作网与国际指南制定之间合作的例子可见于我们对世界卫生组织(WHO)维生素A使用指南的支持,或者即将发布的国际复苏联合会(ILCOR)关于早产和足月儿脐带处理的建议[30]。在未来,我们需要在指南制定过程的早期进行合作,以便综述能够有的放矢,满足指南制定者和最终用户的需求。为此,现在所有Cochrane新生儿协作网的综述都包含对系统综述中报告的关键临床发现的GRADE评估[31]。添加这些评估解决了我们对研究结果信心这一关键问题。我们对随机对照试验提供的证据最有信心,但如果报告该结局的研究存在高偏倚风险、间接性、结果不一致或不精确,或者有报告偏倚的证据,那么这种评估可能会被降级。GRADE评估提供的信息在从证据到正式建议的过程中被视为至关重要[32]。我们需要探索复杂的综述,如网状(NMA)或多种治疗比较(MCT)荟萃分析,以解决临床试验中未正式涉及的问题[33]。在存在多种有效干预措施的情况下,很少对所有可能的干预措施进行相互比较测试[34]。网状荟萃分析可以提供一个解决方案,它允许相互比较所有治疗方法,即使某些治疗比较没有随机对照试验可用[34]。网状荟萃分析使用直接(头对头)随机临床试验(RCT)证据以及来自RCT的间接证据来比较所有纳入干预措施的相对有效性[35]。然而,米尔斯及其同事指出,MTCs的方法学质量可能让临床医生难以解读,因为评估的干预措施数量可能很多,且方法学方法可能很复杂[35]。Cochrane新生儿协作网必须在开展此类分析以及就这种方法的陷阱对新生儿领域进行教育方面发挥作用。个体患者数据的可用性将使更复杂的分析在该领域更易于获得。尽管当前的个体患者数据荟萃分析(包括对选择性高频通气、吸入NO和氧目标的综述)与试验水平综述的结果没有实质性差异(这表明实际上患病新生儿之间的相似性大于差异性),但个体患者数据荟萃分析仍将发挥重要作用,至少可以终结这些疗法在各个亚组(无论是性别、疾病严重程度还是临床环境问题)中有效的无端结论[36 - 39]。未来的试验应借鉴NeOProM协作的经验[37,39]。鉴于在任何单一环境中生成足够大的样本量和筹集资金都很困难,应在各种医疗环境中开展具有相似方案的试验,并在试验结束时着眼于研究水平和个体患者水平的荟萃分析,以便为试验数据做出更广泛的贡献,更快地积累样本量,并获得更精确的结果。我们需要就诊断测试的使用和滥用对新生儿领域进行教育。诊断测试是医疗保健中的关键组成部分,但也极大地增加了全球医疗保健成本。这些成本包括测试本身的成本以及对那些不会从这些治疗中受益的个体进行误诊和治疗的成本。临床医生对诊断测试准确性(即诊断测试区分患有和未患有疾病或目标病症患者的能力)的理解可能有限[41,42]。诸如“明智选择”等活动已试图找出这些不足之处[40]。正如Cochrane提高了医学界和普通大众对各种疾病干预结果解读的总体认知水平一样,Cochrane也应继续前进,增进对诊断测试的理解。我们需要提高创建和维护综述的效率。开展系统综述所花费的时间太长。平均而言,完成一篇系统综述需要2.5至6.5年时间,需要训练有素且费用高昂的专家投入大量时间。我们开展系统综述方式的创新可以通过将一些任务外包或众包给机器学习,使综述过程更高效。我们需要借助大众和机器学习创新来帮助我们整理开展系统综述所需的大量信息。它还可以允许在研究格局迅速变化时对关键综述进行“实时”更新[43]。最后也是最重要的一点,Cochrane新生儿协作网必须更多地关注综述的用户,而不一定是综述的作者。当前的Cochrane计划提到了Cochrane培训,着眼于培养进行系统综述人员的技能。虽然这显然是必要且值得称赞的,但事实是该领域的大多数人将是综述的“用户”。这些人需要了解如何使用和解释系统综述的结果。这些综述用户包括临床医生、指南制定者、政策制定者和家庭。纳入GRADE指南是朝着增加我们研究结果不确定性透明度迈出的重要一步。从家庭的角度来看,我们需要克服对科学证据的不信任或误解环境,以及我们如何向父母和家庭传达我们所知道的以及我们对所知道内容的不确定性。

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