ArticleBMJ (Clinical research ed.)2009
Filtering Medline for a clinical discipline: diagnostic test assessment framework.
Article in BMJ (Clinical research ed.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
- Development and validation of a MEDLINE search filter/hedge for degenerative cervical myelopathy.BMC medical research methodology · 2018Article
- Limits of search filter development.Journal of the Medical Library Association : JMLA · 2016Article
- A search strategy to identify studies on the prognosis of work disability: a diagnostic test framework.BMJ open · 2015Article
- Retrieving clinical evidence: a comparison of PubMed and Google Scholar for quick clinical searches.Journal of medical Internet research · 2013Article
- Developing topic-specific search filters for PubMed with click-through data.Methods of information in medicine · 2013Article
- Validity of physician billing claims to identify deceased organ donors in large healthcare databases.PloS one · 2013Article
- Availability of renal literature in six bibliographic databases.Clinical kidney journal · 2012Article
- Dialysis search filters for PubMed, Ovid MEDLINE, and Embase databases.Clinical journal of the American Society of Nephrology : CJASN · 2012Article
- Sensitivity and predictive value of 15 PubMed search strategies to answer clinical questions rated against full systematic reviews.Journal of medical Internet research · 2012Review
- Glomerular disease search filters for Pubmed, Ovid Medline, and Embase: a development and validation study.BMC medical informatics and decision making · 2012Article
- An eUtils toolset and its use for creating a pipeline to link genomics and proteomics analyses to domain-specific biomedical literature.Journal of clinical bioinformatics · 2012Article
- Impact of PubMed search filters on the retrieval of evidence by physicians.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2012Article
- Development of a heart failure filter for Medline: an objective approach using evidence-based clinical practice guidelines as an alternative to hand searching.BMC medical research methodology · 2011Article
- Evaluating the impact of MEDLINE filters on evidence retrieval: study protocol.Implementation science : IS · 2010Article
- A cross-sectional study of the number and frequency of terms used to refer to knowledge translation in a body of health literature in 2006: a Tower of Babel?Implementation science : IS · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and test a Medline filter that allows clinicians to search for articles within a clinical discipline, rather than searching the entire Medline database.
designDiagnostic test assessment framework with development and validation phases.
settingSample of 4657 articles published in 2006 from 40 journals. Reviews Each article was manually reviewed, and 19.8% contained information relevant to the discipline of nephrology. The performance of 1 155 087 unique renal filters was compared with the manual review.
main outcome measuresSensitivity, specificity, precision, and accuracy of each filter.
resultsThe best renal filters combined two to 14 terms or phrases and included the terms "kidney" with multiple endings (that is, truncation), "renal replacement therapy", "renal dialysis", "kidney function tests", "renal", "nephr" truncated, "glomerul" truncated, and "proteinuria". These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.
conclusionsMedline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. Filters can also be developed for other clinical disciplines by using similar methods.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.