Does EPV predict etiology?
Revised: 2002-05-10
Question:
Does etiologic predictive value (EPV) really predict
etiology?
EPV links detectable
signs (symptoms, clinical findings or other signs detectable with some kind of
device) with test results. Before we can evaluate
the test we must start by defining an appropriate disease. This definition must
link the sign(s) with a possible etiologic agent. For example a definition could
be: "A sore throat
caused by group A beta-hemolytic streptococci (GABHS)".
The key issue is if our defined disease exists. The formulae
for EPV cannot know if GABHS causes a sore throat or if a sore throat increase
the prevalence of GABHS. (Here one must remember that when we talk about
increasing the prevalence of GABHS we mean increased proportion of
individuals harboring GABHS, not an increase in the number of GABHS in each
individual).
Thus, the outcome of EPV is an estimate of a statistical
correlation. Other facts must decide if this correlation exists because the
agent causes the sign or if the sign facilitate the presence of the agent. There
are several ways to obtain such evidence, the best way is in a randomized controlled intervention study.
Question: If EPV does
not directly predict etiology then what is it for?
There are a number of
areas where EPV could add useful information:
- In many situations
intervention studies establishing a causal relation between an etiologic agent
and a sign exists. If we want to adjust previously calculated predictive
values of a test to also include knowledge about carriers then
EPV is the only alternative. A similar situation is if a new test is
developed. If asymptomatic carriers exists then this new test should be
evaluated with EPV.
- If the duration of our
defined disease is short then a a correlation between a sign and an agent will
imply that the agent actually causes the sign. However, there is an
uncertainty in this assumption that we cannot measure. The only way to
estimate this uncertainty is by performing an intervention study.
- EPV could be very
useful as a screening to decide which signs might be of interest to
investigate further in a randomized controlled intervention study. Let us
consider a situation with 7 different signs that are assumed (but not known)
to be caused by a specific etiologic agent. This agent can be detected with a
test. However, it is also known that this etiologic agent might be present
without causing any signs.
We want to investigate if there is a causal relationship
between the agent and any of these signs. However, we cannot perform an
intervention study testing all signs at the same time. If we begin by collecting test
outcome among individuals with and without these signs we can estimate if
there seems to be a correlation between the agent and any of the signs (or
combination of signs). If no correlation is found it indicates that an intervention study will not
add useful information. If we find a correlation we can predict the
combination of signs that is most interesting to investigate in an
intervention study.
Just testing if a correlation exists between any of several signs and
findings of a possible etiologic agent could easily be done using
correlation-regression. In that kind of situation we would have a single group
of individuals where all individuals had at least one sign. However, if
carriers should be considered then we are dealing with two groups of
individuals, individuals with a sign and healthy controls. This is a situation
that correlation-regression cannot analyze. In the (rather unusual) situation
where the prevalence of the sign is very common in a population then it could
be possible to analyze one large randomly selected sample of individuals with
regression-correlation. This single group would contain both individuals with
and without the sign. However, in this situation EPV would offer a more easily interpreted
outcome than correlation-regression.
Other
WebPages of interest
Other pages with subjects
that might be of interest is:
(You can click on these
links to quickly
see the pages)
Ronny Gunnarsson MD PhD
Department of Primary Health Care
Göteborg University
SWEDEN
Back to Main menu