ReviewJournal of periodontal research2026
Cohort and Case-Control Studies: Strengths, Limitations and Methodological Considerations.
Review in Journal of periodontal research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cohort studies are central to modern health research, enabling the investigation of disease incidence, progression and long-term consequences of exposures. However, cohort designs vary substantially in structure and analytic implementation, and these differences have important implications for their validity and interpretation. This article provides a methodological overview of cohort study design and analysis in periodontology, with emphasis on how design choices and analytical strategies influence the potential sources of bias. We describe the major cohort variants, including prospective, birth, retrospective and nested case-control designs and examine how each shapes exposure measurement, follow-up and outcome ascertainment. Key design considerations include definition of the source population, specification of time zero, handling of dynamic populations and risk sets and the distinction between fixed and time-varying exposures. We then discuss major sources of bias relevant to cohort studies, including confounding, selection bias (index event bias and prevalent user bias included), immortal time bias, censoring and competing risks. Design-based strategies, notably the new-user design and target trial emulation, are presented. We further clarify the basis of a recurring study type in the periodontal literature-single-arm treatment series framed as cohort studies-and discuss how these relate to the cohort design and the inferences they support. Finally, we compare cohort and case-control designs, highlighting both their shared methodological foundations and their important differences in sampling, efficiency, interpretation and application. The credibility of a cohort study depends less on the application of any single statistical method and more on the coherence between the research question, the structure of the data and the assumptions required for valid interpretation. Careful design, transparent reporting and explicit acknowledgment of limitations are essential if cohort studies are to support reliable inference in periodontal research and beyond.
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Registered trials
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