Conference paper Open Access
Norman, Christopher;
Leeflang, Mariska;
Névéol, Aurélie
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <controlfield tag="005">20200120171138.0</controlfield> <controlfield tag="001">2574710</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="d">2018</subfield> <subfield code="g">Proc AMIA Annu Symp</subfield> <subfield code="a">Proceedings of the AMIA Annual Symposium</subfield> <subfield code="c">San Fransisco</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">AMC, University of Amsterdam</subfield> <subfield code="a">Leeflang, Mariska</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">LIMSI, CNRS</subfield> <subfield code="a">Névéol, Aurélie</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">101912</subfield> <subfield code="z">md5:fb1402dac89ed77e4b6cef3048d1928e</subfield> <subfield code="u">https://zenodo.org/record/2574710/files/normanAMIA2018_revised.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2018-11-05</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="p">user-miror</subfield> <subfield code="o">oai:zenodo.org:2574710</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">LIMSI, CNRS</subfield> <subfield code="0">(orcid)0000-0001-9306-2363</subfield> <subfield code="a">Norman, Christopher</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Data Extraction and Synthesis in Systematic Reviews of Diagnostic Test Accuracy: A Corpus for Automating and Evaluating the Process</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-miror</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">676207</subfield> <subfield code="a">Methods in Research on Research</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Other (Open)</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><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></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.2574709</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.2574710</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">conferencepaper</subfield> </datafield> </record>
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