ArticleSystematic reviews2016
A comparison of the performance of seven key bibliographic databases in identifying all relevant systematic reviews of interventions for hypertension.
Article in Systematic reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 50 citations in OpenAlex.
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- Multi-disciplinary interventions for chronic pain involving education: A systematic review.PloS one · 2019Pooled it
- Toward a comprehensive evidence map of overview of systematic review methods: paper 1-purpose, eligibility, search and data extraction.Systematic reviews · 2017Pooled it
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- The optimal approach for retrieving systematic reviews was achieved when searching MEDLINE and Epistemonikos in addition to reference checking: a methodological validation study.BMC medical research methodology · 2024Article
- Searching for studies: A guide to information retrieval for Campbell systematic reviews.Campbell systematic reviews · 2024Article
- Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review.Journal of medical Internet research · 2023Article
- Scientific Literature Database Coverage of Randomized Clinical Trials for Central Serous Chorioretinopathy.Journal of personalized medicine · 2023Article
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- Databases Selection in a Systematic Review of the Association between Anthropometric Measurements and Dental Caries among Children in Asia.Children (Basel, Switzerland) · 2021Review
- How to Write a Systematic Review: A Narrative Review.International journal of preventive medicine · 2021Review
- Use of a search summary table to improve systematic review search methods, results, and efficiency.Journal of the Medical Library Association : JMLA · 2021Article
- MEDLINE search retrieval issues: A longitudinal query analysis of five vendor platforms.PloS one · 2021Article
- Epistemonikos: a comprehensive database of systematic reviews for health decision-making.BMC medical research methodology · 2020Article
- Tackling Research Inefficiency in Degenerative Cervical Myelopathy: Illustrative Review.JMIR research protocols · 2020Article
- Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study.BMC medical research methodology · 2020Article
- Evidence-based practice in Chile.BJPsych international · 2018Article
- The Authors' Reply.International journal of community based nursing and midwifery · 2017Article
- Foot health in patients with rheumatoid arthritis-a scoping review.Rheumatology international · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBibliographic databases are the primary resource for identifying systematic reviews of health care interventions. Reliable retrieval of systematic reviews depends on the scope of indexing used by database providers. Therefore, searching one database may be insufficient, but it is unclear how many need to be searched. We sought to evaluate the performance of seven major bibliographic databases for the identification of systematic reviews for hypertension.
methodsWe searched seven databases (Cochrane library, Database of Abstracts of Reviews of Effects (DARE), Excerpta Medica Database (EMBASE), Epistemonikos, Medical Literature Analysis and Retrieval System Online (MEDLINE), PubMed Health and Turning Research Into Practice (TRIP)) from 2003 to 2015 for systematic reviews of any intervention for hypertension. Citations retrieved were screened for relevance, coded and checked for screening consistency using a fuzzy text matching query. The performance of each database was assessed by calculating its sensitivity, precision, the number of missed reviews and the number of unique records retrieved.
resultsFour hundred systematic reviews were identified for inclusion from 11,381 citations retrieved from seven databases. No single database identified all the retrieved systematic reviews for hypertension. EMBASE identified the most reviews (sensitivity 69 %) but also retrieved the most irrelevant citations with 7.2 % precision (Pr). The sensitivity of the Cochrane library was 60 %, DARE 57 %, MEDLINE 57 %, PubMed Health 53 %, Epistemonikos 49 % and TRIP 33 %. EMBASE contained the highest number of unique records (n = 43). The Cochrane library identified seven unique records and had the highest precision (Pr = 30 %), followed by Epistemonikos (n = 2, Pr = 19 %). No unique records were found in PubMed Health (Pr = 24 %) DARE (Pr = 21 %), TRIP (Pr = 10 %) or MEDLINE (Pr = 10 %). Searching EMBASE and the Cochrane library identified 88 % of all systematic reviews in the reference set, and searching the freely available databases (Cochrane, Epistemonikos, MEDLINE) identified 83 % of all the reviews. The databases were re-analysed after systematic reviews of non-conventional interventions (e.g. yoga, acupuncture) were removed. Similarly, no database identified all the retrieved systematic reviews. EMBASE identified the most relevant systematic reviews (sensitivity 73 %) but also retrieved the most irrelevant citations with Pr = 5 %. The sensitivity of the Cochrane database was 62 %, followed by MEDLINE (60 %), DARE (55 %), PubMed Health (54 %), Epistemonikos (50 %) and TRIP (31 %). The precision of the Cochrane library was the highest (20 %), followed by PubMed Health (Pr = 16 %), DARE (Pr = 13 %), Epistemonikos (Pr = 12 %), MEDLINE (Pr = 6 %), TRIP (Pr = 6 %) and EMBASE (Pr = 5 %). EMBASE contained the most unique records (n = 34). The Cochrane library identified seven unique records. The other databases held no unique records.
conclusionsThe coverage of bibliographic databases varies considerably due to differences in their scope and content. Researchers wishing to identify systematic reviews should not rely on one database but search multiple databases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.