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Causal relationships in medicine.

Authors: António Vaz, Carneiro;

Causal relationships in medicine.

Abstract

The determination of causality is crucial in medicine: for example, a doctor who prescribes a therapeutic regimen believes that it will cure the disease. Causality in medicine is complex, since it can be difficult to establish a cause-effect relationship: arterial hypertension is a known risk factor for stroke, but most people with hypertension will not have a stroke, and most people who have strokes are normotensive. In this article we will define causality, then show how to determine a cause-effect relationship, and finally we will present the type of studies that can provide the strongest evidence on causality.

Keywords

Causality, Cohort Studies, Male, Evidence-Based Medicine, Humans, Female, Prospective Studies, Retrospective Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold