Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Ripoti ya Kesi ya Vituo Vingi× | Utafiti wa Kikundi Kazi wa Vituo Vingi× | |
|---|---|---|
| Nyanja | Epidemiolojia | Epidemiolojia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | Long-standing practice; CARE guidelines formalized 2013 | Mid-to-late 20th century (widespread adoption 1970s–1990s) |
| Mwanzilishi≠ | Clinical medicine tradition; CARE guidelines by Gagnier et al. | Developed incrementally through large collaborative epidemiological projects (e.g., Framingham Heart Study consortium expansions, 1948 onward; EPIC study, 1992) |
| Aina≠ | Observational descriptive study | Observational longitudinal study |
| Chanzo asilia≠ | Gagnier, J. J., Kienle, G., Altman, D. G., Moher, D., Sox, H., & Riley, D. (2013). The CARE guidelines: Consensus-based clinical case reporting guideline development. Journal of Medical Case Reports, 7, 223. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Majina mbadala | multi-site case report, collaborative case report, multicentre case report, CARE multicenter report | multisite cohort study, multi-centre cohort, collaborative cohort study, pooled cohort study |
| Zinazohusiana≠ | 4 | 6 |
| Muhtasari≠ | A multicenter case report is a structured clinical document describing one or a very small number of unusual patients observed across two or more independent healthcare institutions. By pooling observations from multiple sites, it overcomes the rarity barrier that prevents any single center from documenting an unusual presentation, adverse event, or novel treatment response — producing a richer, more externally valid account than a single-center report can offer. | A multicenter cohort study follows defined groups of participants at two or more geographically or institutionally distinct sites over time to estimate incidence, identify risk factors, and quantify associations between exposures and outcomes. By pooling data from multiple centers, it achieves statistical power and population diversity that single-site designs cannot match, making it the workhorse of large-scale epidemiological and clinical research. |
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