5 min read

Longitudinal Analysis

Dr. Max Ganhewa
Dr. Max Ganhewa
Founder & CEO
Prof. Dr. Nicola Cirillo
Prof. Dr. Nicola Cirillo
Head of Research
PM
Prof. Michael McCullough
The University of Melbourne

Learn from babies

Imagine a visit to a paediatrician. They weigh the baby, measure the baby, and
plot one dot on a chart. A baby steady on the 30th percentile is well. A baby
who slides from the 80th to the 30th since the previous visit needs looking at
immediately. The dot tells you almost nothing. The line tells you everything.
Dentistry has the same charts. We just don't always draw the line.

N=1

We typically don't make irreversible life decisions on a sample of one.

You wouldn't sell your house for the first amount a stranger shouted over the fence. You wouldn't amputate a leg because it ached on a Tuesday. We wait. We watch. We gather second, third and fourth data points, and crucially see where it's trending, before we do something we can't undo. We usually do this intuitively, subconsciously, and heuristically.

Bone loss, tooth wear, recession, erosion, caries, and even oral cancer is a
process. Sometimes it changes. Sometimes rapidly, Sometimes it stays still. A
lesion is not a thing, it's a stage in a story, and the only honest question is
which way the story of this lesion is heading. And understanding how quickly
a condition is changing is often more informative than simply determining
whether change has occurred.

Signal or noise?

There is another reason why single observations can be misleading. Clinical
measurements are never perfect. A radiograph may look different because of
angulation. A periodontal measurement may vary between examinations. A
lesion may appear larger or smaller because of lighting, photography, or
examiner variability. The clinician is rarely observing disease directly; they
are observing a measurement of disease. Longitudinal monitoring helps
separate true biological change from measurement noise, allowing the signal
to emerge from the background variability.

Iatrogenesis from residual risk

Every irreversible intervention starts a second act you can’t control. Not every
lesion becomes disease. Not every disease becomes clinically significant.

No one ever looked at a hurricane and blamed a butterfly. The chain is too
long, the steps too many, the cause too far back to see. By the time a tooth
needs an extraction at fifty, nobody remembers the fissure sealant at twenty
one. We feel the hurricane. All we can do is minimise the wing beats where
and when appropriate. Not every lesion becomes disease. Not every disease
becomes clinically significant.

No intervention?

This is not an argument for doing nothing.

Watching can be its own harm. Some conditions are not butterflies. They are
gathering storms, and the data says so. This is where experience, judgement
and sound decision making make human practitioners indispensable.

So do something when the benefit outweighs the long term, residual risk. The
point is not less treatment. The aim is to treat the condition that is actually
moving, at the earliest possible time when it starts moving and is trending
towards a disastrous outcome. Leave alone the conditions that are not moving,
and maybe likely to never move, is of the utmost benefit for the patient.

Trust and persuasion

Showing that a condition is stable, and that you'll continue to monitor it, is one
of the ways you build the most profound trust. Showing the condition is moving towards a very bad outcome, and being there with the options and solutions, is one of the easiest ways to earn case acceptance. The data does the work. You take the measurement, plot the point, demonstrate the change, and be available for questions.

The data moat

Your past data can be one of the strongest reasons a patient comes back to you.

‘Come back in six months and we'll see whether the wear is getting worse’.
That sentence if repeated will improve your rebooking and recall attendance
many fold. Remember though that this is conditional on regular gathering of
photos, scans, and when indicated radiographs.

I’m a firm believer that If you treat your data as one of your most valuable
assets, it will respond by becoming one of your most valuable assets.

Ergodic nature

Nassim Taleb, from whom we've borrowed from many times in this essay, calls ergodicity the most powerful concept he knows. There's a point where a condition no longer regresses to a mean, and pulls with increasing power towards a bad outcome. Get close enough and there is no path back. Taleb alls this an absorbing barrier. A condition near that edge travels one way quickly, toward full mouth rehab, clearance or in the case of oral medicine much worse outcomes. So, past a certain point watching is not evidence based, it's the road to an absorbing barrier and great harm. Doing nothing becomes a severely iatrogenic act. Sometimes, at the initial examination it is all too clear the condition has moved way past that absorbing barrier, but this movement occurred without being observed. The periodontal disease is extensive, the tooth wear is profound, the oral cancer is clearly present at that first visit. Immediate appropriate intervention and treatment is critical. Depending on your practice, this is probably not the norm.

In summary

Great patient and commercial outcomes should never be built on compromising ethics. Longitudinal monitoring, with judicious data backed -
watch and wait strategies and judicious data backed intervention, is the best way I know to achieve excellent patient outcomes.