Diagnostic prediction models for CT-confirmed and bacterial rhinosinusitis in primary care: individual participant data meta-analysis.
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| Title: | Diagnostic prediction models for CT-confirmed and bacterial rhinosinusitis in primary care: individual participant data meta-analysis. |
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| Authors: | Takada T; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; associate professor, Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, Fukushima, Japan., Hoogland J; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands., Hansen JG; Department of Clinical Epidemiology, Aarhus University Hospital, Clinical Institute, Aarhus University, Aarhus, Denmark., Lindbaek M; Department of General Practice, Institute of Health and Society, University Hospital of Oslo, Oslo, Norway., Autio T; Head & Neck Surgery, Oulu University Hospital, Oulu, Finland., Alho OP; PEDEGO Research Unit, University of Oulu, Finland; professor of otorhinolaryngology, Department of Otorhinolaryngology, Head & Neck Surgery, Oulu University Hospital, Oulu, Finland., Ebell MH; Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, US., Reitsma JB; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands., Venekamp RP; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. |
| Source: | The British journal of general practice : the journal of the Royal College of General Practitioners [Br J Gen Pract] 2022 Jul 28; Vol. 72 (721), pp. e601-e608. Date of Electronic Publication: 2022 Jul 28 (Print Publication: 2022). |
| Publication Type: | Journal Article; Meta-Analysis; Systematic Review |
| Journal Info: | Publisher: Royal College of General Practitioners Country of Publication: England NLM ID: 9005323 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 1478-5242 (Electronic) Linking ISSN: 09601643 NLM ISO Abbreviation: Br J Gen Pract Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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