Updating searches for systematic reviews

Introduction: This thesis examines methods for updating searches for systematic reviews of healthcare interventions. Systematic reviews endeavour to find and synthesize all relevant research as a basis for the practice of evidence-based medicine. They are more useful if they are complete and up-to-d...

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Main Author: Sampson, Margaret Joan
Other Authors: Urquhart, Christine
Published: Aberystwyth University 2009
Subjects:
020
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512231
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spelling ndltd-bl.uk-oai-ethos.bl.uk-5122312019-03-14T03:19:31ZUpdating searches for systematic reviewsSampson, Margaret JoanUrquhart, Christine2009Introduction: This thesis examines methods for updating searches for systematic reviews of healthcare interventions. Systematic reviews endeavour to find and synthesize all relevant research as a basis for the practice of evidence-based medicine. They are more useful if they are complete and up-to-date. Materials and Methods: The sample was 93 meta-analyses in allopathic medicine. Newer randomized controlled trials (RCTs) were sought through MEDLINE searches, and were assessed for relevance by physicians. Two Boolean searches, two similarity searches and one non-database search approach were tested. The Boolean searches were based on a simple subject search paired with a filter selecting only RCTs from Abridged Index Medicus journals or with the balanced Clinical Query. The two similarity searches were Support Vector Machine (SVM) and a Related Article search of PubMed based on the three newest and three largest studies from the original review. Main Results: Clinical Query provided good recall but with large retrievals. Abridged Index Medicus RCT had smaller retrieval sizes and lower recall, but did detect many large studies. The Related Article search showed the highest recall. Recall with SVM was lower, but retrievals were smaller. RCTs that cited the systematic review being updated were also tested but identified only a small proportion of new evidence. Relative performance of the test searches was consistent regardless of whether the intervention was a drug, device or procedure. All searches showed variability across clinical areas, but Related Articles RCT showed the most consistency. The pairing of Related Article RCT and Clinical Query gave excellent recall of new relevant material. Conclusions: Meta-analysts can identify new evidence through a simple structured Boolean search paired with a related articles protocol. By building on the evidence base formed in the original review, related article searching may replace time-consuming nondatabase methods necessary in conducting original reviews.020Aberystwyth Universityhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512231http://hdl.handle.net/2160/c64afc7e-bf86-4eba-a421-9188804870c8Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 020
spellingShingle 020
Sampson, Margaret Joan
Updating searches for systematic reviews
description Introduction: This thesis examines methods for updating searches for systematic reviews of healthcare interventions. Systematic reviews endeavour to find and synthesize all relevant research as a basis for the practice of evidence-based medicine. They are more useful if they are complete and up-to-date. Materials and Methods: The sample was 93 meta-analyses in allopathic medicine. Newer randomized controlled trials (RCTs) were sought through MEDLINE searches, and were assessed for relevance by physicians. Two Boolean searches, two similarity searches and one non-database search approach were tested. The Boolean searches were based on a simple subject search paired with a filter selecting only RCTs from Abridged Index Medicus journals or with the balanced Clinical Query. The two similarity searches were Support Vector Machine (SVM) and a Related Article search of PubMed based on the three newest and three largest studies from the original review. Main Results: Clinical Query provided good recall but with large retrievals. Abridged Index Medicus RCT had smaller retrieval sizes and lower recall, but did detect many large studies. The Related Article search showed the highest recall. Recall with SVM was lower, but retrievals were smaller. RCTs that cited the systematic review being updated were also tested but identified only a small proportion of new evidence. Relative performance of the test searches was consistent regardless of whether the intervention was a drug, device or procedure. All searches showed variability across clinical areas, but Related Articles RCT showed the most consistency. The pairing of Related Article RCT and Clinical Query gave excellent recall of new relevant material. Conclusions: Meta-analysts can identify new evidence through a simple structured Boolean search paired with a related articles protocol. By building on the evidence base formed in the original review, related article searching may replace time-consuming nondatabase methods necessary in conducting original reviews.
author2 Urquhart, Christine
author_facet Urquhart, Christine
Sampson, Margaret Joan
author Sampson, Margaret Joan
author_sort Sampson, Margaret Joan
title Updating searches for systematic reviews
title_short Updating searches for systematic reviews
title_full Updating searches for systematic reviews
title_fullStr Updating searches for systematic reviews
title_full_unstemmed Updating searches for systematic reviews
title_sort updating searches for systematic reviews
publisher Aberystwyth University
publishDate 2009
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512231
work_keys_str_mv AT sampsonmargaretjoan updatingsearchesforsystematicreviews
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