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制定MEDLINE中的敏感检索策略,以检索关于影像技术诊断性能评估的研究。

Developing a sensitive search strategy in MEDLINE to retrieve studies on assessment of the diagnostic performance of imaging techniques.

作者信息

Astin Margaret P, Brazzelli Miriam G, Fraser Cynthia M, Counsell Carl E, Needham Gillian, Grimshaw Jeremy M

机构信息

Health Services Research Unit, Health Sciences Building, School of Medicine, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, Scotland.

出版信息

Radiology. 2008 May;247(2):365-73. doi: 10.1148/radiol.2472070101. Epub 2008 Mar 27.

Abstract

PURPOSE

To prospectively develop a search strategy in MEDLINE for identifying studies on the diagnostic performance of any imaging modality, with maximized and minimized retrieval of relevant and irrelevant studies, respectively.

MATERIALS AND METHODS

Predefined inclusion criteria were used to conduct a hand search of two sets of radiologic journal articles for studies on assessment of the diagnostic performance of imaging techniques. These two sets of articles formed independent derivation and validation record sets for developing and evaluating the search strategy. The sensitivity and positive predictive values (PPVs) of search terms from the derivation reference-standard set of records were used to select terms and develop two components of the search strategy. The first component was used to identify any study (from the imaging literature) in which diagnostic test performance was assessed. The second component was used to identify studies of any imaging modality. The two components were combined in the final search strategy. The sensitivity, specificity, and PPV of the search strategy in the derivation and validation record sets were calculated.

RESULTS

The final search strategy had a sensitivity of 92.8%, a specificity of 58.5%, and a PPV of 25.1% for retrieval of the derivation set of records. Validation with an independent set of records gave a sensitivity of 91.9% (95% confidence interval [CI]: 87.1%, 95.1%), a specificity of 52.2% (95% CI: 49.2%, 55.2%), and a PPV of 25.1% (95% CI: 22.0%, 28.5%). Removal of irrelevant publication types further improved specificity and PPV in the validation set: to 77.6% (95% CI: 75.0%, 80.0%) and 40.9% (95% CI: 36.2%, 45.7%), respectively. The volume of imaging literature retrieved from MEDLINE by using the described search strategy has tripled since 1975.

CONCLUSION

A sensitive search strategy to identify studies of the diagnostic performance of any imaging test was developed and validated. The retrieval estimates of this strategy in MEDLINE are adequate to develop a register of studies.

摘要

目的

前瞻性地制定一种在MEDLINE中检索有关任何成像模态诊断性能研究的检索策略,分别实现相关研究的最大化检索和无关研究的最小化检索。

材料与方法

使用预定义的纳入标准对两组放射学期刊文章进行手工检索,以查找有关成像技术诊断性能评估的研究。这两组文章构成了用于开发和评估检索策略的独立推导和验证记录集。从推导参考标准记录集中搜索词的敏感性和阳性预测值(PPV)用于选择词并制定检索策略的两个组成部分。第一部分用于识别(来自成像文献的)任何评估诊断测试性能的研究。第二部分用于识别任何成像模态的研究。这两个部分在最终检索策略中进行组合。计算了推导和验证记录集中检索策略的敏感性、特异性和PPV。

结果

最终检索策略对推导记录集检索的敏感性为92.8%,特异性为58.5%,PPV为25.1%。用独立记录集进行验证得到的敏感性为91.9%(95%置信区间[CI]:87.1%,95.1%),特异性为52.2%(95%CI:49.2%,55.2%),PPV为25.1%(95%CI:22.0%,28.5%)。去除不相关的出版类型进一步提高了验证集中的特异性和PPV:分别提高到77.6%(95%CI:75.0%,80.0%)和40.9%(95%CI:36.2%,45.7%)。自1975年以来,使用所述检索策略从MEDLINE检索到的成像文献量增加了两倍。

结论

开发并验证了一种用于识别任何成像测试诊断性能研究的敏感检索策略。该策略在MEDLINE中的检索估计足以建立一个研究登记册。

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