<?xml version="1.0" encoding="ISO-8859-1" standalone="no"?>
<COCHRANE_REVIEW DESCRIPTION="" DOI="" GROUP_ID="" ID="261722050613233585" MERGED_FROM="" MODIFIED="2022-12-04 06:03:00 +0800" MODIFIED_BY="[Empty name]" REVIEW_NO="" REVMAN_SUB_VERSION="5.4.1" REVMAN_VERSION="5" SPLIT_FROM="" STAGE="R" STATUS="A" TYPE="INTERVENTION" VERSION_NO="0.0">
<COVER_SHEET MODIFIED="2022-05-06 13:23:35 +0800" MODIFIED_BY="[Empty name]">
<TITLE MODIFIED="2022-05-06 13:23:35 +0800" MODIFIED_BY="[Empty name]">TAVI with CPD versus TAVI without CPD for stroke</TITLE>
<CONTACT>
<PERSON ID="????" ROLE="UNKNOWN">
<PREFIX/>
<FIRST_NAME/>
<MIDDLE_INITIALS/>
<LAST_NAME/>
<SUFFIX/>
<POSITION/>
<EMAIL_1/>
<EMAIL_2/>
<URL/>
<MOBILE_PHONE/>
<ADDRESS>
<DEPARTMENT/>
<ORGANISATION/>
<ADDRESS_1/>
<ADDRESS_2/>
<CITY/>
<ZIP/>
<REGION/>
<COUNTRY CODE="NONE">Other</COUNTRY>
<PHONE_1/>
<PHONE_2/>
<FAX_1/>
<FAX_2/>
</ADDRESS>
<FOOTNOTE/>
</PERSON>
</CONTACT>
<CREATORS>
<PERSON ID="????" ROLE="AUTHOR">
<PREFIX/>
<FIRST_NAME/>
<MIDDLE_INITIALS/>
<LAST_NAME/>
<SUFFIX/>
<POSITION/>
<EMAIL_1/>
<EMAIL_2/>
<URL/>
<MOBILE_PHONE/>
<ADDRESS>
<DEPARTMENT/>
<ORGANISATION/>
<ADDRESS_1/>
<ADDRESS_2/>
<CITY/>
<ZIP/>
<REGION/>
<COUNTRY CODE="NONE">Other</COUNTRY>
<PHONE_1/>
<PHONE_2/>
<FAX_1/>
<FAX_2/>
</ADDRESS>
<FOOTNOTE/>
</PERSON>
</CREATORS>
<DATES>
<UP_TO_DATE>
<DATE DAY="" MONTH="" YEAR=""/>
</UP_TO_DATE>
<LAST_SEARCH>
<DATE DAY="" MONTH="" YEAR=""/>
</LAST_SEARCH>
<NEXT_STAGE>
<DATE DAY="" MONTH="" YEAR=""/>
</NEXT_STAGE>
<PROTOCOL_PUBLISHED ISSUE="" YEAR=""/>
<REVIEW_PUBLISHED ISSUE="" YEAR=""/>
<LAST_CITATION_ISSUE ISSUE="" YEAR=""/>
</DATES>
<WHATS_NEW/>
<HISTORY/>
<SOURCES_OF_SUPPORT>
<INTERNAL_SOURCES/>
<EXTERNAL_SOURCES/>
</SOURCES_OF_SUPPORT>
<MESH_TERMS VERIFIED="NO"/>
<KEYWORDS/>
</COVER_SHEET>
<MAIN_TEXT>
<SUMMARY>
<TITLE>[Summary title]</TITLE>
<SUMMARY_BODY>
<P>[Summary text]</P>
</SUMMARY_BODY>
</SUMMARY>
<ABSTRACT>
<ABS_BACKGROUND/>
<ABS_OBJECTIVES/>
<ABS_SEARCH_STRATEGY/>
<ABS_SELECTION_CRITERIA/>
<ABS_DATA_COLLECTION/>
<ABS_RESULTS/>
<ABS_CONCLUSIONS/>
</ABSTRACT>
<BODY>
<BACKGROUND>
<CONDITION/>
<INTERVENTION/>
<THEORY/>
<IMPORTANCE/>
</BACKGROUND>
<OBJECTIVES/>
<METHODS>
<SELECTION_CRITERIA>
<CRIT_STUDIES/>
<CRIT_PARTICIPANTS/>
<CRIT_INTERVENTIONS/>
<CRIT_OUTCOMES>
<CRIT_OUTCOMES_PRIMARY/>
<CRIT_OUTCOMES_SECONDARY/>
</CRIT_OUTCOMES>
</SELECTION_CRITERIA>
<SEARCH_METHODS>
<ELECTRONIC_SEARCHES/>
<OTHER_SEARCHES/>
</SEARCH_METHODS>
<DATA_COLLECTION>
<STUDY_SELECTION/>
<DATA_EXTRACTION/>
<QUALITY_ASSESSMENT/>
<EFFECT_MEASURES/>
<UNIT_OF_ANALYSIS/>
<MISSING_DATA/>
<HETEROGENEITY_ASSESSMENT/>
<BIAS_ASSESSMENT/>
<DATA_SYNTHESIS/>
<SUBGROUP_ANALYSIS/>
<SENSITIVITY_ANALYSIS/>
</DATA_COLLECTION>
</METHODS>
<RESULTS>
<STUDY_DESCRIPTION>
<SEARCH_RESULTS/>
<INCLUDED_STUDIES_DESCR/>
<EXCLUDED_STUDIES_DESCR/>
</STUDY_DESCRIPTION>
<STUDY_QUALITY>
<ALLOCATION/>
<BLINDING/>
<EXCLUSIONS/>
<SELECTIVE_REPORTING/>
<OTHER_BIAS_SOURCES/>
</STUDY_QUALITY>
<INTERVENTION_EFFECTS/>
</RESULTS>
<DISCUSSION>
<SUMMARY_OF_RESULTS/>
<APPLICABILITY_OF_FINDINGS/>
<QUALITY_OF_EVIDENCE/>
<POTENTIAL_BIASES/>
<AGREEMENT/>
</DISCUSSION>
<CONCLUSIONS>
<IMPLICATIONS_PRACTICE/>
<IMPLICATIONS_RESEARCH/>
</CONCLUSIONS>
</BODY>
<ACKNOWLEDGEMENTS/>
<CONFLICT_OF_INTEREST/>
<CONTRIBUTIONS/>
<PRO_REV_DIFF/>
<PUBLIC_NOTES/>
</MAIN_TEXT>
<STUDIES_AND_REFERENCES MODIFIED="2022-12-04 05:51:37 +0800" MODIFIED_BY="[Empty name]">
<STUDIES MODIFIED="2022-12-04 05:51:37 +0800" MODIFIED_BY="[Empty name]">
<INCLUDED_STUDIES MODIFIED="2022-12-04 05:51:37 +0800" MODIFIED_BY="[Empty name]">
<STUDY DATA_SOURCE="PUB" ID="STD-Haussig-S-et-al.-2016" MODIFIED="2022-12-04 05:46:32 +0800" MODIFIED_BY="[Empty name]" NAME="Haussig S et al. 2016" YEAR="2016">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:52:24 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:52:24 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
<STUDY DATA_SOURCE="PUB" ID="STD-Kapadia-SR-et-al.-2016" MODIFIED="2022-12-04 05:50:52 +0800" MODIFIED_BY="[Empty name]" NAME="Kapadia SR et al. 2016" YEAR="2016">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:54:16 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:54:16 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
<STUDY DATA_SOURCE="PUB" ID="STD-Kapadia-SR-et-al.-2022" MODIFIED="2022-12-04 05:51:37 +0800" MODIFIED_BY="[Empty name]" NAME="Kapadia SR et al. 2022" YEAR="2022">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:54:49 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:54:49 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
<STUDY DATA_SOURCE="PUB" ID="STD-Lansky-AJ-et-al.-2015" MODIFIED="2022-12-04 05:51:09 +0800" MODIFIED_BY="[Empty name]" NAME="Lansky AJ et al. 2015" YEAR="2015">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:54:30 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:54:30 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
<STUDY DATA_SOURCE="PUB" ID="STD-Lansky-AJ-et-al.-2021" MODIFIED="2022-12-04 05:51:14 +0800" MODIFIED_BY="[Empty name]" NAME="Lansky AJ et al. 2021" YEAR="2021">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:51:15 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:51:15 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
<STUDY DATA_SOURCE="PUB" ID="STD-Nazif-TM-et-al.-2021" MODIFIED="2022-06-23 22:41:37 +0800" MODIFIED_BY="[Empty name]" NAME="Nazif TM et al. 2021" YEAR="2021">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:55:38 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:55:38 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
<STUDY DATA_SOURCE="PUB" ID="STD-Van-Mieghem-NM-et-al.2016" MODIFIED="2022-06-23 22:40:04 +0800" MODIFIED_BY="[Empty name]" NAME="Van Mieghem NM et al.2016" YEAR="2016">
<REFERENCE PRIMARY="NO" TYPE="JOURNAL_ARTICLE">
<IDENTIFIERS/>
</REFERENCE>
<IDENTIFIERS MODIFIED="2022-05-06 14:54:00 +0800" MODIFIED_BY="[Empty name]">
<IDENTIFIER MODIFIED="2022-05-06 14:54:00 +0800" MODIFIED_BY="[Empty name]" TYPE="OTHER" VALUE="RCT"/>
</IDENTIFIERS>
</STUDY>
</INCLUDED_STUDIES>
<EXCLUDED_STUDIES/>
<AWAITING_STUDIES/>
<ONGOING_STUDIES/>
</STUDIES>
<OTHER_REFERENCES>
<ADDITIONAL_REFERENCES/>
<OTHER_VERSIONS_REFERENCES/>
<PENDING_REFERENCES/>
</OTHER_REFERENCES>
</STUDIES_AND_REFERENCES>
<CHARACTERISTICS_OF_STUDIES MODIFIED="2022-12-01 07:51:03 +0800" MODIFIED_BY="[Empty name]">
<CHARACTERISTICS_OF_INCLUDED_STUDIES MODIFIED="2022-12-01 07:51:03 +0800" MODIFIED_BY="[Empty name]" SORT_BY="STUDY" USER_DEF_1_ENABLED="NO" USER_DEF_2_ENABLED="NO" USER_DEF_3_ENABLED="NO">
<INCLUDED_CHAR STUDY_ID="STD-Haussig-S-et-al.-2016">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<INCLUDED_CHAR STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<INCLUDED_CHAR STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<INCLUDED_CHAR STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<INCLUDED_CHAR STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<INCLUDED_CHAR STUDY_ID="STD-Nazif-TM-et-al.-2021">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<INCLUDED_CHAR STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<CHAR_METHODS/>
<CHAR_PARTICIPANTS/>
<CHAR_INTERVENTIONS/>
<CHAR_OUTCOMES/>
<CHAR_NOTES/>
</INCLUDED_CHAR>
<FOOTNOTES/>
</CHARACTERISTICS_OF_INCLUDED_STUDIES>
<CHARACTERISTICS_OF_EXCLUDED_STUDIES SORT_BY="STUDY">
<FOOTNOTES/>
</CHARACTERISTICS_OF_EXCLUDED_STUDIES>
<CHARACTERISTICS_OF_AWAITING_STUDIES SORT_BY="STUDY" USER_DEF_1_ENABLED="NO" USER_DEF_2_ENABLED="NO" USER_DEF_3_ENABLED="NO">
<FOOTNOTES/>
</CHARACTERISTICS_OF_AWAITING_STUDIES>
<CHARACTERISTICS_OF_ONGOING_STUDIES SORT_BY="STUDY" USER_DEF_1_ENABLED="NO" USER_DEF_2_ENABLED="NO" USER_DEF_3_ENABLED="NO">
<FOOTNOTES/>
</CHARACTERISTICS_OF_ONGOING_STUDIES>
</CHARACTERISTICS_OF_STUDIES>
<QUALITY_ITEMS MODIFIED="2022-12-01 07:51:03 +0800" MODIFIED_BY="[Empty name]">
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-01" LEVEL="STUDY" MODIFIED="2022-07-09 21:51:57 +0800" MODIFIED_BY="[Empty name]" NO="1">
<NAME>Random sequence generation (selection bias)</NAME>
<DESCRIPTION>
<P>Selection bias (biased allocation to interventions) due to inadequate generation of a randomised sequence</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:08:01 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:07:49 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:02:00 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 21:49:32 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 21:50:41 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:08:51 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:07:26 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-02" LEVEL="STUDY" MODIFIED="2022-12-01 07:42:28 +0800" MODIFIED_BY="[Empty name]" NO="2">
<NAME>Allocation concealment (selection bias)</NAME>
<DESCRIPTION>
<P>Selection bias (biased allocation to interventions) due to inadequate concealment of allocations prior to assignment</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:08:03 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:07:51 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:02:01 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 21:49:38 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 21:50:42 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:42:28 +0800" MODIFIED_BY="[Empty name]" RESULT="UNKNOWN" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION>
<P>No mention</P>
</DESCRIPTION>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:07:27 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-03" LEVEL="GROUP" MODIFIED="2022-12-01 07:51:03 +0800" MODIFIED_BY="[Empty name]" NO="3">
<NAME>Blinding of participants and personnel (performance bias)</NAME>
<DESCRIPTION>
<P>Performance bias due to knowledge of the allocated interventions by participants and personnel during the study</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA_ENTRY_GROUP ID="QIG-03.01" NO="1">
<NAME>All outcomes</NAME>
</QUALITY_ITEM_DATA_ENTRY_GROUP>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-05-06 22:08:05 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-12-01 07:44:20 +0800" MODIFIED_BY="[Empty name]" RESULT="UNKNOWN" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION>
<P>No mention</P>
</DESCRIPTION>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-05-06 22:02:02 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-05-06 21:49:42 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-12-01 07:40:15 +0800" MODIFIED_BY="[Empty name]" RESULT="UNKNOWN" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION>
<P>No mention.</P>
</DESCRIPTION>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-12-01 07:42:34 +0800" MODIFIED_BY="[Empty name]" RESULT="UNKNOWN" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION>
<P>No mention</P>
</DESCRIPTION>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-03.01" MODIFIED="2022-12-01 07:51:03 +0800" MODIFIED_BY="[Empty name]" RESULT="UNKNOWN" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION>
<P>No mention</P>
</DESCRIPTION>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-04" LEVEL="GROUP" MODIFIED="2022-07-09 21:51:57 +0800" MODIFIED_BY="[Empty name]" NO="4">
<NAME>Blinding of outcome assessment (detection bias)</NAME>
<DESCRIPTION>
<P>Detection bias due to knowledge of the allocated interventions by outcome assessors</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA_ENTRY_GROUP ID="QIG-04.01" NO="1">
<NAME>All outcomes</NAME>
</QUALITY_ITEM_DATA_ENTRY_GROUP>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 22:08:39 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 22:07:53 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 22:02:04 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 21:49:48 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 21:50:45 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 22:08:54 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-04.01" MODIFIED="2022-05-06 22:07:29 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-05" LEVEL="GROUP" MODIFIED="2022-07-09 21:51:57 +0800" MODIFIED_BY="[Empty name]" NO="5">
<NAME>Incomplete outcome data (attrition bias)</NAME>
<DESCRIPTION>
<P>Attrition bias due to amount, nature or handling of incomplete outcome data</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA_ENTRY_GROUP ID="QIG-05.01" NO="1">
<NAME>All outcomes</NAME>
</QUALITY_ITEM_DATA_ENTRY_GROUP>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 22:08:41 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 22:07:54 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 22:02:06 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 21:49:52 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 21:50:48 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 22:08:54 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY GROUP_ID="QIG-05.01" MODIFIED="2022-05-06 22:07:31 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-06" LEVEL="STUDY" MODIFIED="2022-07-09 21:51:57 +0800" MODIFIED_BY="[Empty name]" NO="6">
<NAME>Selective reporting (reporting bias)</NAME>
<DESCRIPTION>
<P>Reporting bias due to selective outcome reporting</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:08:42 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:07:56 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:02:34 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:53:02 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:53:07 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:08:58 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-05-06 22:52:17 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
<QUALITY_ITEM CORE_ITEM="YES" ID="QIT-07" LEVEL="STUDY" MODIFIED="2022-12-01 07:15:34 +0800" MODIFIED_BY="[Empty name]" NO="7">
<NAME>Other bias</NAME>
<DESCRIPTION>
<P>Bias due to problems not covered elsewhere in the table</P>
</DESCRIPTION>
<QUALITY_ITEM_DATA>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:11 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Haussig-S-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:27 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:30 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Kapadia-SR-et-al.-2022">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:15 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2015">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:19 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Lansky-AJ-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:23 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Nazif-TM-et-al.-2021">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
<QUALITY_ITEM_DATA_ENTRY MODIFIED="2022-12-01 07:15:34 +0800" MODIFIED_BY="[Empty name]" RESULT="YES" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016">
<DESCRIPTION/>
</QUALITY_ITEM_DATA_ENTRY>
</QUALITY_ITEM_DATA>
</QUALITY_ITEM>
</QUALITY_ITEMS>
<SOF_TABLES/>
<ADDITIONAL_TABLES/>
<ANALYSES_AND_DATA CALCULATED_DATA="YES" MODIFIED="2022-12-04 06:03:00 +0800" MODIFIED_BY="[Empty name]">
<COMPARISON ID="CMP-001" MODIFIED="2022-12-04 05:59:07 +0800" MODIFIED_BY="[Empty name]" NO="1">
<NAME>30-day Stroke</NAME>
<DICH_OUTCOME CHI2="1.3474763002232655" CI_END="1.8314351904548405" CI_START="0.7397406194341978" CI_STUDY="95" CI_TOTAL="95" DF="3" EFFECT_MEASURE="RR" EFFECT_SIZE="1.1639531787149566" ESTIMABLE="YES" EVENTS_1="39" EVENTS_2="28" I2="0.0" I2_Q="0.0" ID="CMP-001.01" LOG_CI_END="0.2627915547636843" LOG_CI_START="-0.1309205333708379" LOG_EFFECT_SIZE="0.06593551069642323" METHOD="MH" MODIFIED="2022-12-04 05:59:07 +0800" MODIFIED_BY="[Empty name]" NO="1" P_CHI2="0.7178915657511522" P_Q="1.0" P_Z="0.5115180463860006" Q="0.0" RANDOM="NO" SCALE="100.0" SORT_BY="STUDY" STUDIES="4" SUBGROUPS="NO" SUBGROUP_TEST="YES" SWAP_EVENTS="NO" TAU2="0.0" TOTALS="YES" TOTAL_1="349" TOTAL_2="271" WEIGHT="100.0" Z="0.6564757860474415">
<NAME>30-day Stroke</NAME>
<GROUP_LABEL_1>With CEPD</GROUP_LABEL_1>
<GROUP_LABEL_2>No CEPD</GROUP_LABEL_2>
<GRAPH_LABEL_1>Favours [experimental]</GRAPH_LABEL_1>
<GRAPH_LABEL_2>Favours [control]</GRAPH_LABEL_2>
<DICH_DATA CI_END="1.874959183403867" CI_START="0.5333449436400876" EFFECT_SIZE="1.0" ESTIMABLE="YES" EVENTS_1="14" EVENTS_2="14" LOG_CI_END="0.27299181786884946" LOG_CI_START="-0.27299181786884946" LOG_EFFECT_SIZE="0.0" MODIFIED="2022-12-04 05:59:03 +0800" MODIFIED_BY="[Empty name]" ORDER="7" O_E="0.0" SE="0.32071349029490925" STUDY_ID="STD-Haussig-S-et-al.-2016" TOTAL_1="50" TOTAL_2="50" VAR="0.10285714285714284" WEIGHT="47.535467002372535"/>
<DICH_DATA CI_END="1.3674512905099954" CI_START="0.2802439526058753" EFFECT_SIZE="0.6190476190476191" ESTIMABLE="YES" EVENTS_1="13" EVENTS_2="10" EXCLUDED="YES" LOG_CI_END="0.13591186543363287" LOG_CI_START="-0.5524637502877978" LOG_EFFECT_SIZE="-0.20827594242708247" MODIFIED="2022-12-04 05:59:03 +0800" MODIFIED_BY="[Empty name]" ORDER="11" O_E="0.0" SE="0.4043552441890219" STUDY_ID="STD-Kapadia-SR-et-al.-2016" TOTAL_1="231" TOTAL_2="110" VAR="0.16350316350316352" WEIGHT="100.0"/>
<DICH_DATA CI_END="1.240152461042164" CI_START="0.5103173577430419" EFFECT_SIZE="0.7955321031344793" ESTIMABLE="YES" EVENTS_1="34" EVENTS_2="43" EXCLUDED="YES" LOG_CI_END="0.09347507945185272" LOG_CI_START="-0.2921596594870587" LOG_EFFECT_SIZE="-0.09934229001760296" MODIFIED="2022-12-04 05:59:05 +0800" MODIFIED_BY="[Empty name]" ORDER="12" O_E="0.0" SE="0.22652375457546103" STUDY_ID="STD-Kapadia-SR-et-al.-2022" TOTAL_1="1472" TOTAL_2="1481" VAR="0.05131301138696371" WEIGHT="75.3819953076804"/>
<DICH_DATA CI_END="4.4997119585145935" CI_START="0.03993639372648282" EFFECT_SIZE="0.42391304347826086" ESTIMABLE="YES" EVENTS_1="1" EVENTS_2="2" LOG_CI_END="0.6531847140350208" LOG_CI_START="-1.3986311546731327" LOG_EFFECT_SIZE="-0.3727232203190561" MODIFIED="2022-12-04 05:59:05 +0800" MODIFIED_BY="[Empty name]" ORDER="8" O_E="0.0" SE="1.205246797931524" STUDY_ID="STD-Lansky-AJ-et-al.-2015" TOTAL_1="46" TOTAL_2="39" VAR="1.4526198439241917" WEIGHT="7.350021788602139"/>
<DICH_DATA CI_END="4.278508637925885" CI_START="0.49285274803686163" EFFECT_SIZE="1.452127659574468" ESTIMABLE="YES" EVENTS_1="13" EVENTS_2="4" LOG_CI_END="0.6312924131278737" LOG_CI_START="-0.3072828175737213" LOG_EFFECT_SIZE="0.1620047977770762" MODIFIED="2022-12-04 05:59:06 +0800" MODIFIED_BY="[Empty name]" ORDER="9" O_E="0.0" SE="0.551323736536439" STUDY_ID="STD-Lansky-AJ-et-al.-2021" TOTAL_1="141" TOTAL_2="63" VAR="0.30395786246850076" WEIGHT="18.77451217740764"/>
<DICH_DATA CI_END="3.499000813803918" CI_START="0.6099851050294317" EFFECT_SIZE="1.4609375" ESTIMABLE="YES" EVENTS_1="11" EVENTS_2="8" LOG_CI_END="0.5439440434919118" LOG_CI_START="-0.21468076971465064" LOG_EFFECT_SIZE="0.1646316368886306" MODIFIED="2022-12-04 05:59:07 +0800" MODIFIED_BY="[Empty name]" ORDER="10" O_E="0.0" SE="0.4456199705309241" STUDY_ID="STD-Nazif-TM-et-al.-2021" TOTAL_1="112" TOTAL_2="119" VAR="0.19857715813598167" WEIGHT="26.33999903161768"/>
<DICH_DATA CI_END="1.1308224757010337" CI_START="0.019192759060498648" EFFECT_SIZE="0.14732142857142858" ESTIMABLE="YES" EVENTS_1="1" EVENTS_2="7" EXCLUDED="YES" LOG_CI_END="0.053394431738185824" LOG_CI_START="-1.7168625886507365" LOG_EFFECT_SIZE="-0.8317340784562753" MODIFIED="2022-12-04 05:59:02 +0800" MODIFIED_BY="[Empty name]" ORDER="13" O_E="0.0" SE="1.0398577366900303" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016" TOTAL_1="32" TOTAL_2="33" VAR="1.0813041125541125" WEIGHT="10.88666357230557"/>
</DICH_OUTCOME>
</COMPARISON>
<COMPARISON ID="CMP-002" MODIFIED="2022-12-04 06:03:00 +0800" MODIFIED_BY="[Empty name]" NO="2">
<NAME>Subgroup</NAME>
<DICH_OUTCOME CHI2="6.580060776598311" CI_END="1.1177890832057902" CI_START="0.6290926098265914" CI_STUDY="95" CI_TOTAL="95" DF="6" EFFECT_MEASURE="RR" EFFECT_SIZE="0.8385659494575268" ESTIMABLE="YES" EVENTS_1="87" EVENTS_2="88" I2="8.815431897852228" I2_Q="67.51202118261982" ID="CMP-002.01" LOG_CI_END="0.04835986379962403" LOG_CI_START="-0.20128541659592394" LOG_EFFECT_SIZE="-0.07646277639814998" METHOD="MH" MODIFIED="2022-12-04 06:03:00 +0800" MODIFIED_BY="[Empty name]" NO="1" P_CHI2="0.3614326618591418" P_Q="0.07935530459310514" P_Z="0.2298995017780613" Q="3.078061598171898" RANDOM="NO" SCALE="100.0" SORT_BY="STUDY" STUDIES="7" SUBGROUPS="YES" SUBGROUP_TEST="YES" SWAP_EVENTS="NO" TAU2="0.0" TOTALS="YES" TOTAL_1="2084" TOTAL_2="1895" WEIGHT="100.0" Z="1.2006178339190894">
<NAME>Type of CEPD</NAME>
<GROUP_LABEL_1>With CEPD</GROUP_LABEL_1>
<GROUP_LABEL_2>No CEPD</GROUP_LABEL_2>
<GRAPH_LABEL_1>Favours [experimental]</GRAPH_LABEL_1>
<GRAPH_LABEL_2>Favours [control]</GRAPH_LABEL_2>
<DICH_SUBGROUP CHI2="2.6776384805927735" CI_END="1.000488376613614" CI_START="0.4720072246267473" DF="2" EFFECT_SIZE="0.687195563079908" ESTIMABLE="YES" EVENTS_1="48" EVENTS_2="60" I2="25.307317828908644" ID="CMP-002.01.01" LOG_CI_END="2.1204749307843554E-4" LOG_CI_START="-0.3260513539262563" LOG_EFFECT_SIZE="-0.1629196532165889" MODIFIED="2022-12-04 06:02:21 +0800" MODIFIED_BY="[Empty name]" NO="1" P_CHI2="0.26215521083404936" P_Z="0.05029854171271806" STUDIES="3" TAU2="0.0" TOTAL_1="1735" TOTAL_2="1624" WEIGHT="68.2500328440499" Z="1.9574163163208311">
<NAME>BA &amp; LCCA type</NAME>
<DICH_DATA CI_END="1.3674512905099954" CI_START="0.2802439526058753" EFFECT_SIZE="0.6190476190476191" ESTIMABLE="YES" EVENTS_1="13" EVENTS_2="10" LOG_CI_END="0.13591186543363287" LOG_CI_START="-0.5524637502877978" LOG_EFFECT_SIZE="-0.20827594242708247" MODIFIED="2022-12-04 06:02:08 +0800" MODIFIED_BY="[Empty name]" ORDER="23" O_E="0.0" SE="0.4043552441890219" STUDY_ID="STD-Kapadia-SR-et-al.-2016" TOTAL_1="231" TOTAL_2="110" VAR="0.16350316350316352" WEIGHT="14.60564047807817"/>
<DICH_DATA CI_END="1.240152461042164" CI_START="0.5103173577430419" EFFECT_SIZE="0.7955321031344793" ESTIMABLE="YES" EVENTS_1="34" EVENTS_2="43" LOG_CI_END="0.09347507945185272" LOG_CI_START="-0.2921596594870587" LOG_EFFECT_SIZE="-0.09934229001760296" MODIFIED="2022-12-04 06:02:14 +0800" MODIFIED_BY="[Empty name]" ORDER="21" O_E="0.0" SE="0.22652375457546103" STUDY_ID="STD-Kapadia-SR-et-al.-2022" TOTAL_1="1472" TOTAL_2="1481" VAR="0.05131301138696371" WEIGHT="46.214240902251966"/>
<DICH_DATA CI_END="1.1308224757010337" CI_START="0.019192759060498648" EFFECT_SIZE="0.14732142857142858" ESTIMABLE="YES" EVENTS_1="1" EVENTS_2="7" LOG_CI_END="0.053394431738185824" LOG_CI_START="-1.7168625886507365" LOG_EFFECT_SIZE="-0.8317340784562753" MODIFIED="2022-12-04 06:02:21 +0800" MODIFIED_BY="[Empty name]" ORDER="22" O_E="0.0" SE="1.0398577366900303" STUDY_ID="STD-Van-Mieghem-NM-et-al.2016" TOTAL_1="32" TOTAL_2="33" VAR="1.0813041125541125" WEIGHT="7.430151463719767"/>
</DICH_SUBGROUP>
<DICH_SUBGROUP CHI2="1.3474763002232655" CI_END="1.8314351904548405" CI_START="0.7397406194341978" DF="3" EFFECT_SIZE="1.1639531787149566" ESTIMABLE="YES" EVENTS_1="39" EVENTS_2="28" I2="0.0" ID="CMP-002.01.02" LOG_CI_END="0.2627915547636843" LOG_CI_START="-0.1309205333708379" LOG_EFFECT_SIZE="0.06593551069642323" MODIFIED="2022-12-04 06:03:00 +0800" MODIFIED_BY="[Empty name]" NO="2" P_CHI2="0.7178915657511522" P_Z="0.5115180463860006" STUDIES="4" TAU2="0.0" TOTAL_1="349" TOTAL_2="271" WEIGHT="31.749967155950095" Z="0.6564757860474415">
<NAME>TMCA type</NAME>
<DICH_DATA CI_END="1.874959183403867" CI_START="0.5333449436400876" EFFECT_SIZE="1.0" ESTIMABLE="YES" EVENTS_1="14" EVENTS_2="14" LOG_CI_END="0.27299181786884946" LOG_CI_START="-0.27299181786884946" LOG_EFFECT_SIZE="0.0" MODIFIED="2022-12-04 06:02:33 +0800" MODIFIED_BY="[Empty name]" ORDER="24" O_E="0.0" SE="0.32071349029490925" STUDY_ID="STD-Haussig-S-et-al.-2016" TOTAL_1="50" TOTAL_2="50" VAR="0.10285714285714284" WEIGHT="15.092495160680777"/>
<DICH_DATA CI_END="4.4997119585145935" CI_START="0.03993639372648282" EFFECT_SIZE="0.42391304347826086" ESTIMABLE="YES" EVENTS_1="1" EVENTS_2="2" LOG_CI_END="0.6531847140350208" LOG_CI_START="-1.3986311546731327" LOG_EFFECT_SIZE="-0.3727232203190561" MODIFIED="2022-12-04 06:02:42 +0800" MODIFIED_BY="[Empty name]" ORDER="25" O_E="0.0" SE="1.205246797931524" STUDY_ID="STD-Lansky-AJ-et-al.-2015" TOTAL_1="46" TOTAL_2="39" VAR="1.4526198439241917" WEIGHT="2.333629503836355"/>
<DICH_DATA CI_END="4.278508637925885" CI_START="0.49285274803686163" EFFECT_SIZE="1.452127659574468" ESTIMABLE="YES" EVENTS_1="13" EVENTS_2="4" LOG_CI_END="0.6312924131278737" LOG_CI_START="-0.3072828175737213" LOG_EFFECT_SIZE="0.1620047977770762" MODIFIED="2022-12-04 06:02:53 +0800" MODIFIED_BY="[Empty name]" ORDER="26" O_E="0.0" SE="0.551323736536439" STUDY_ID="STD-Lansky-AJ-et-al.-2021" TOTAL_1="141" TOTAL_2="63" VAR="0.30395786246850076" WEIGHT="5.960901450016777"/>
<DICH_DATA CI_END="3.499000813803918" CI_START="0.6099851050294317" EFFECT_SIZE="1.4609375" ESTIMABLE="YES" EVENTS_1="11" EVENTS_2="8" LOG_CI_END="0.5439440434919118" LOG_CI_START="-0.21468076971465064" LOG_EFFECT_SIZE="0.1646316368886306" MODIFIED="2022-12-04 06:03:00 +0800" MODIFIED_BY="[Empty name]" ORDER="27" O_E="0.0" SE="0.4456199705309241" STUDY_ID="STD-Nazif-TM-et-al.-2021" TOTAL_1="112" TOTAL_2="119" VAR="0.19857715813598167" WEIGHT="8.362941041416187"/>
</DICH_SUBGROUP>
</DICH_OUTCOME>
</COMPARISON>
</ANALYSES_AND_DATA>
<FIGURES MODIFIED="2022-12-01 07:51:28 +0800" MODIFIED_BY="[Empty name]">
<FIGURE FILENAME="Risk of bias summary.png" FILE_TYPE="PNG" ID="FIG-01" MODIFIED="2022-12-01 07:51:14 +0800" MODIFIED_BY="[Empty name]" NO="1" SHORT_VERSION_FIGURE="YES" TYPE="QUALITY_TABLE_PLOT">
<CAPTION>
<P>Risk of bias summary: review authors' judgements about each risk of bias item for each included study.</P>
</CAPTION>
<FILE>iVBORw0KGgoAAAANSUhEUgAAAYQAAAInCAIAAAAXv7lZAAAfJElEQVR42u3dwW4UyZbGcUtIiEUv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==
</FILE>
</FIGURE>
<FIGURE FILENAME="Risk of bias graph.png" FILE_TYPE="PNG" ID="FIG-02" MODIFIED="2022-12-01 07:51:28 +0800" MODIFIED_BY="[Empty name]" NO="2" SHORT_VERSION_FIGURE="YES" TYPE="QUALITY_GRAPH_PLOT">
<CAPTION>
<P>Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.</P>
</CAPTION>
<FILE>iVBORw0KGgoAAAANSUhEUgAAAl4AAAEACAMAAABVk4iuAAADAFBMVEUAAADAAAAAwAAAAMDg4ADA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</FILE>
</FIGURE>
</FIGURES>
<FEEDBACK/>
<APPENDICES/>
<EXTENSIONS/>
</COCHRANE_REVIEW>
