Development of the Cochrane Collaboration’s Central Register of Controlled Clinical Trials

Dickersin, Kay; Manheimer, Eric; Wieland, Susan; Robinson, Karen A.; Lefebvre, Carol A.; McDonald, Steve

doi:10.1177/016327870202500104

Cited by 109 publications

(102 citation statements)

References 12 publications

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“…However, the search did use the CENTRAL database in the Cochrane Library, which is a comprehensive database of randomized controlled trials identified from a large number of databases without time restriction, as well as the results of handsearches of journals conducted by the Cochrane collaboration (Dickersin et al 2002). It has been suggested that traditional exhaustive search strategies using multiple databases are not cost-effective, as this has already been done for CENTRAL (Royle & Waugh, 2005).…”

Section: Discussionmentioning

confidence: 99%

What makes self-help interventions effective in the management of depressive symptoms? Meta-analysis and meta-regression

et al. 2007

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Section: Discussionmentioning

confidence: 99%

What makes self-help interventions effective in the management of depressive symptoms? Meta-analysis and meta-regression

et al. 2007

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“…The in-domain monolingual corpora include (cf. Table 2): the Cochrane database of reviews of primary research in human health care and health policy [63], DrugBank -a bioinformatics and cheminformatics resource describing drugs [64], Gene Regulation Event Corpus (GREC) -a semantically annotated English corpus of abstracts of biomedical texts [65], the GENIA corpus of biomedical literature compiled and annotated within the GENIA project [66], the Foundational Model of Anatomy Ontology (FMA) -a knowledge source for biomedical informatics concerned with symbolic representation of the phenotypic structure of the human body [67], English texts extracted from the UMLS Metathesaurus [40], the Patient Information Leaflet Corpus (PIL) -a collection of documents giving instructions to patients about their medication [69], and finally, a large set of texts extracted from HONcode-certified sites (HON) that have been identified by language-detection libraries [70,71] to be English-language [72].…”

Section: In-domain Monolingual Corporamentioning

confidence: 99%

Adaptation of machine translation for multilingual information retrieval in the medical domain

Pecina¹,

Dušek²,

Goeuriot³

et al. 2014

Artificial Intelligence in Medicine

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Objective. We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain. The main focus is on techniques to adapt MT to increase translation quality; however, we also explore MT adaptation to improve effectiveness of cross-lingual IR.Methods and Data. Our MT system is Moses, a state-of-the-art phrase-based statistical machine translation system. The IR system is based on the BM25 retrieval model implemented in the Lucene search engine. The MT techniques employed in this work include in-domain training and tuning, intelligent training data selection, optimization of phrase table configuration, compound splitting, and exploiting synonyms as translation variants. The IR methods include morphological normalization and using multiple translation variants for query expansion. The experiments are performed and thoroughly evaluated on three language pairs: Czech-English, German-English, and French-English. MT quality is evaluated on data sets created within the Khresmoi project and IR effectiveness is tested on the CLEF eHealth 2013 data sets.Results. The search query translation results achieved in our experiments are outstanding -our systems outperform not only our strong baselines, but also Google Translate and Microsoft Bing Translator in direct comparison carried out on all the language pairs. The baseline BLEU scores increased from 26.59 to 41.45 for Czech-English, from 23.03 to 40.82 for German-English, and from 32.67 to 40.82 for French-English. This is a 55% improvement on average. In terms of the IR performance on this particular test collection, a significant improvement over the baseline is achieved only for French-English. For Czech-English and German-English, the increased MT quality does not lead to better IR results.Conclusions. Most of the MT techniques employed in our experiments improve MT of medical search queries. Especially the intelligent training data selection proves to be very successful for domain adaptation of MT. Certain improvements are also obtained from German compound splitting on the source language side. Translation quality, however, does not appear to correlate with the IR performance -better translation does not necessarily yield better retrieval. We discuss in detail the contribution of the individual techniques and state-of-the-art features and provide future research directions.

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“…15 Medical Subject Heading (MeSH) terms used included rhinosinusitis, sinusitis, and corticosteroids (including dexamethasone, betamethasone, prednisone, and all variations of these terms) and viral and bacterial upper respiratory tract pathogens (full search strategy available from authors). Two authors independently reviewed the titles and abstracts of electronic searches, obtaining full-text articles to assess for relevance where necessary.…”

Section: Search Strategy and Selectionmentioning

confidence: 99%

Intranasal Corticosteroids in Management of Acute Sinusitis: A Systematic Review and Meta-Analysis

Hayward

Heneghan²,

Perera³

et al. 2012

The Annals of Family Medicine

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PURPOSE Acute sinusitis is a common condition in ambulatory care, where it is frequently treated with antibiotics, despite little evidence of their benefi t. Intranasal corticosteroids might relieve symptoms; however, evidence for this benefi t is currently unclear. We performed a systematic review and meta-analysis of the effects of intranasal corticosteroids on the symptoms of acute sinusitis. METHODSWe searched MEDLINE, EMBASE, the Cochrane Central register of Controlled Trials (CENTRAL), and Centre for Reviews and Dissemination databases until February 2011 for studies comparing intranasal corticosteroids with placebo in children or adults having clinical symptoms and signs of acute sinusitis or rhinosinusitis in ambulatory settings. We excluded chronic/allergic sinusitis. Two authors independently extracted data and assessed the studies' methodologic quality. RESULTSWe included 6 studies having a total of 2,495 patients. In 5 studies, antibiotics were prescribed in addition to corticosteroids or placebo. Intranasal corticosteroids resulted in a signifi cant, small increase in resolution of or improvement in symptoms at days 14 to 21 (risk difference [RD] = 0.08; 95% CI, 0.03-0.13). Analysis of individual symptom scores revealed most consistently signifi cant benefi ts for facial pain and congestion. Subgroup analysis by time of reported outcomes showed a signifi cant benefi cial effect at 21 days (RD = 0.11; 95% CI, 0.06-0.17), but not at 14 to 15 days (RD = 0.05; 95% CI, -0.01 to 0.11). Metaregression analysis of trials using different doses of mometasone furoate showed a signifi cant dose-response relationship (P = .02).CONCLUSIONS Intranasal corticosteroids offer a small therapeutic benefi t in acute sinusitis, which may be greater with high doses and with courses of 21 days' duration. Further trials are needed in antibiotic-naïve patients.

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Development of the Cochrane Collaboration’s Central Register of Controlled Clinical Trials

Cited by 109 publications

References 12 publications

What makes self-help interventions effective in the management of depressive symptoms? Meta-analysis and meta-regression

What makes self-help interventions effective in the management of depressive symptoms? Meta-analysis and meta-regression

Adaptation of machine translation for multilingual information retrieval in the medical domain

Intranasal Corticosteroids in Management of Acute Sinusitis: A Systematic Review and Meta-Analysis

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