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前瞻性比较有和没有文本挖掘工具开发的证据综合搜索策略。

A prospective comparison of evidence synthesis search strategies developed with and without text-mining tools.

机构信息

Scientific Resource Center, AHRQ Effective Health Care Program, Portland VA Research Foundation 3710 SW US Veterans Hospital Road, Portland, OR 97239, USA.

Scientific Resource Center, AHRQ Effective Health Care Program, Portland VA Research Foundation 3710 SW US Veterans Hospital Road, Portland, OR 97239, USA.

出版信息

J Clin Epidemiol. 2021 Nov;139:350-360. doi: 10.1016/j.jclinepi.2021.03.013. Epub 2021 Mar 20.

Abstract

OBJECTIVE

We compared the process of developing searches with and without using text-mining tools (TMTs) for evidence synthesis products.

STUDY DESIGN

This descriptive comparative analysis included seven systematic reviews, classified as simple or complex. Two librarians created MEDLINE strategies for each review, using either usual practice (UP) or TMTs. For each search we calculated sensitivity, number-needed-to-read (NNR) and time spent developing the search strategy.

RESULTS

We found UP searches were more sensitive (UP 92% (95% CI, 85-99); TMT 84.9% (95% CI, 74.4-95.4)), with lower NNR (UP 83 (SD 34); TMT 90 (SD 68)). UP librarians spent an average of 12 h (SD 8) developing search strategies, compared to TMT librarians' 5 hours (SD 2).

CONCLUSION

Across all reviews, TMT searches were less sensitive than UP searches, but confidence intervals overlapped. For simple SR topics, TMT searches were faster and slightly less sensitive than UP. For complex SR topics, TMT searches were faster and less sensitive than UP searches but identified unique eligible citations not found by the UP searches.

摘要

目的

我们比较了使用和不使用文本挖掘工具(TMTs)进行证据综合产品开发的检索过程。

研究设计

本描述性比较分析包括 7 项系统评价,分为简单或复杂。两名图书管理员为每项综述分别使用常规方法(UP)或 TMTs 创建 MEDLINE 策略。对于每个检索,我们计算了敏感性、需要阅读的数量(NNR)和开发检索策略的时间。

结果

我们发现 UP 检索更敏感(UP 92%(95%CI,85-99);TMT 84.9%(95%CI,74.4-95.4)),NNR 更低(UP 83(SD 34);TMT 90(SD 68))。UP 图书管理员平均花费 12 小时(SD 8)开发检索策略,而 TMT 图书管理员则花费 5 小时(SD 2)。

结论

在所有综述中,TMT 检索的敏感性低于 UP 检索,但置信区间重叠。对于简单的 SR 主题,TMT 检索比 UP 检索更快且敏感性略低。对于复杂的 SR 主题,TMT 检索比 UP 检索更快且敏感性更低,但 TMT 检索可以识别出 UP 检索未找到的独特合格引文。

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