Conference paper Open Access

Data Extraction and Synthesis in Systematic Reviews of Diagnostic Test Accuracy: A Corpus for Automating and Evaluating the Process

Norman, Christopher; Leeflang, Mariska; Névéol, Aurélie


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{
  "description": "<p>Background: Systematic reviews are critical for obtaining accurate estimates of diagnostic test accuracy, yet these require extracting information buried in free text articles, which is often laborious. Objective: We create a dataset describing the data extraction and synthesis processes in 63 DTA systematic reviews, and demonstrate its utility by using it to replicate the data synthesis in the original reviews. Method: We construct our dataset using a custom automated extraction pipeline complemented with manual extraction, verification, and post-editing. We evaluate using manual assessment by two annotators and by comparing against data extracted from source files. Results: The constructed dataset contains 5,848 test results for 1,354 diagnostic tests from 1,738 diagnostic studies. We observe an extraction error rate of 0.06&ndash;0.3%. Conclusions: This constitutes the first dataset describing the later stages of the DTA systematic review process, and is intended to be useful for automating or evaluating the process.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "LIMSI, CNRS", 
      "@id": "https://orcid.org/0000-0001-9306-2363", 
      "@type": "Person", 
      "name": "Norman, Christopher"
    }, 
    {
      "affiliation": "AMC, University of Amsterdam", 
      "@type": "Person", 
      "name": "Leeflang, Mariska"
    }, 
    {
      "affiliation": "LIMSI, CNRS", 
      "@type": "Person", 
      "name": "N\u00e9v\u00e9ol, Aur\u00e9lie"
    }
  ], 
  "url": "https://zenodo.org/record/2574710", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-11-05", 
  "headline": "Data Extraction and Synthesis in Systematic Reviews of Diagnostic Test Accuracy: A Corpus for Automating and Evaluating the Process", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.2574710", 
  "@id": "https://doi.org/10.5281/zenodo.2574710", 
  "@type": "ScholarlyArticle", 
  "name": "Data Extraction and Synthesis in Systematic Reviews of Diagnostic Test Accuracy: A Corpus for Automating and Evaluating the Process"
}
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