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Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
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Translating search filters between databases like Ovid and Embase.com is complex. Vigilance for interface and database differences is crucial for accurate results.

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Area of Science:

  • Information Science
  • Medical Informatics

Background:

  • Information specialists often translate search filters across different database interfaces.
  • Previous publications highlight the complexity and need for careful execution in filter translation.

Observation:

  • This study investigated challenges in translating the Cochrane Embase Randomized Controlled Trial (RCT) filter from Ovid to Embase.com.
  • Direct comparison of line-by-line results revealed discrepancies in publication years, subject headings, and record availability between interfaces.
  • Unexpected issues arose with proximity operators, truncation, and field usage (original title/abstract).

Findings:

  • Filter conversion is a demanding and time-consuming process.
  • Unexpected interface and database variations frequently emerge during testing.
  • Identified interface anomalies prompted database publishers to re-evaluate their systems.

Implications:

  • Information specialists must be prepared for both known and unknown discrepancies when converting search filters.
  • Thorough testing and careful planning are essential to mitigate potential issues in cross-database searching.
  • This research contributes to improving the accuracy and reliability of systematic review searching across platforms.