ReviewTurkish journal of emergency medicine
Retrospective studies in emergency medicine: A practical guide to study design, bias, confounding, and interpretation.
Review in Turkish journal of emergency medicine. 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retrospective observational studies are a cornerstone of emergency medicine research, offering practical ways to address important clinical questions using real-world data. Yet, despite their widespread use, these studies are often misunderstood. Associations may be interpreted too confidently as causal effects, while important issues such as bias, confounding, and limitations of statistical adjustment may be overlooked or oversimplified. This practical guide provides a clinically grounded framework for understanding how retrospective studies should be designed, interpreted, and critically appraised. It reviews core methodological principles, including protocol development, sampling strategies, data abstraction, common sources of bias, confounding by indication, and responsible interpretation of observational findings. Frequent misconceptions, such as equating statistical significance with clinical importance or assuming adjustment can fully resolve confounding, are discussed through pragmatic examples relevant to emergency care. Rather than focusing on complex statistical techniques, this review emphasizes conceptual clarity, transparency, and thoughtful interpretation. It highlights practical principles that can improve validity and reproducibility while helping readers recognize both the strengths and inherent limitations of retrospective research. Emerging analytical approaches and evolving discussions around reproducibility and reporting standards are also considered. By linking foundational epidemiologic principles with the realities of emergency medicine practice, this article aims to support clinicians, trainees, reviewers, and early career investigators in designing stronger studies, interpreting findings more critically, and using observational evidence more thoughtfully in clinical decision-making and future research.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.