The Impact on Systematic Reviews of Risk of Bias Assessment Changes From Conference Abstracts to Full Text

Ryan P. W. Kenny, Katie Twentyman, Dawn Craig, Nick Meader, Gill Norman
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Abstract

Conference abstracts are commonly included in systematic reviews of evidence. Due to limitations in word count, conference abstracts often lack data or information. This causes issues for the assessment of risk of bias (RoB). We therefore aimed to compare the RoB rating, using the Cochrane RoB tool, for abstracts and full texts. This was accomplished using previously published Cochrane reviews and comparing RoB ratings for included studies originally included as an abstract and later as full text. To accomplish this, we searched the Cochrane Database of Systematic Reviews for reviews with updates across numerous disciplines (depression, anxiety, surgical, Parkinson's disease, Alzheimer's disease, multiple sclerosis, motor neuron disease, cancer, cardiovascular disease, and musculoskeletal disease). We identified 29 reviews, with 52 randomized controlled trials included, which had an abstract and subsequent full text available. If abstracts and full texts were not assessed using the Cochrane RoB tool, we obtained the texts and performed the assessment (n = 32). To assess the likelihood of changing the domain assessment rating (low, unclear, or high) from conference abstract to full text, we performed a Bayesian categorical multinomial model for each domain (i.e., signaling question) of the Cochrane tool. At the abstract assessment stage, the most common decision was unclear. Using unclear as the reference level in the model led to increased odds of being rated high at full text, compared to abstract assessment, for domains 2 (allocation concealment: odds ratio [OR] = 3.09, 95% credible intervals (CrI) 1.01 to 9.84) and 3 (blinding: OR = 5.09, 95% CrI 1.67 to 16.20). Domain 2 also had odds of being rated low (OR: 2.93, 95% CrI: 1.13 to 7.87). This suggests an impact of changing conference abstract to full text assessments on RoB. The numerous unclear ratings observed at the abstract assessment were usually due to a lack of reporting. While the findings of this study should be interpreted within the context of small numbers, the evidence still suggests that, in some instances, such as allocation concealment and blinding, it is likely that the decision could change based on full-text assessment. This also has implications for the certainty of the evidence, which is impacted by the RoB assessments, with having abstracts only or full texts available potentially changing the overall certainty. Current RoB tools may not be suitable for assessing conference abstracts.

Abstract Image

从会议摘要到全文对偏倚风险评估系统评价的影响
会议摘要通常包括在系统的证据审查中。由于字数统计的限制,会议摘要往往缺乏数据或信息。这就导致了评估偏倚风险(RoB)的问题。因此,我们使用Cochrane RoB工具对摘要和全文的RoB评分进行比较。这是通过使用之前发表的Cochrane综述来完成的,并比较了最初作为摘要收录的研究和后来作为全文收录的研究的RoB评分。为了实现这一目标,我们检索了Cochrane系统综述数据库,检索了许多学科(抑郁症、焦虑症、外科、帕金森病、阿尔茨海默病、多发性硬化症、运动神经元疾病、癌症、心血管疾病和肌肉骨骼疾病)的最新综述。我们确定了29篇综述,包括52项随机对照试验,这些综述都有摘要和随后的全文。如果摘要和全文没有使用Cochrane RoB工具进行评估,我们将获取文本并进行评估(n = 32)。为了评估从会议摘要到全文改变领域评估等级(低、不清楚或高)的可能性,我们对Cochrane工具的每个领域(即信号问题)进行了贝叶斯分类多项模型。在抽象评估阶段,最常见的决定是不明确的。在模型中使用不清楚作为参考水平,与摘要评估相比,在领域2(分配隐藏:优势比[OR] = 3.09, 95%可信区间(CrI) 1.01至9.84)和领域3(盲法:OR = 5.09, 95%可信区间(CrI) 1.67至16.20)中,全文被评为高的几率增加。Domain 2也有被评为低的几率(OR: 2.93, 95% CrI: 1.13至7.87)。这表明将会议摘要改为全文评估对RoB的影响。在抽象评估中观察到的许多不明确的评级通常是由于缺乏报告。虽然这项研究的结果应该在小数字的背景下解释,但证据仍然表明,在某些情况下,例如分配隐藏和盲法,决定可能会根据全文评估而改变。这对证据的确定性也有影响,证据的确定性受到RoB评估的影响,只有摘要或全文可能会改变整体的确定性。目前的RoB工具可能不适合评估会议摘要。
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