Your test results are normal. What if that is precisely the problem?

Claire is thirty-eight, a schoolteacher and the mother of two children.
For nearly two years, she has experienced episodes that are becoming increasingly difficult to ignore: sudden difficulty finding words, impaired short-term memory, periods of cognitive slowing, followed by profound fatigue and a lingering sense of confusion.
The episodes are brief. Usually less than an hour.
Between them, Claire continues to work, organise her family life and function normally enough for the situation to remain difficult to define.
Eventually, her colleagues begin noticing the changes as well.
Medical investigations follow.
Neurological assessment is reassuring. Brain MRI does not reveal a structural explanation. An electroencephalogram provides no explanation for the episodes.
Cardiological investigations are similarly reassuring.
Thyroid function and the hormonal parameters investigated remain within their respective reference ranges.
Individually, each conclusion makes sense.
Together, however, they leave one question unanswered:
Why does Claire continue to experience the same episodes?
When repeated investigations fail to identify structural disease, attention appropriately turns towards other explanations.
Anxiety becomes one of the hypotheses considered.
This is not an unreasonable interpretation. Anxiety can produce significant physical and cognitive symptoms, and psychological factors belong in a comprehensive clinical assessment.
But an explanation becomes insufficient when important elements of the trajectory remain outside it.
Some of Claire’s episodes occur without an identifiable emotional trigger. Others do not follow periods of particular psychological stress.
The purpose is therefore not to dismiss the anxiety hypothesis.
It is to ask whether it explains the whole case.
It does not.
At this point, the question changes.
Instead of asking which additional specialty should investigate Claire, the existing information is reconstructed chronologically.
Medical reports, symptoms, investigations, treatments, daily patterns and the circumstances surrounding individual episodes are placed on a single timeline.
This changes the way the case can be read.
Until then, every specialist had answered a legitimate question within a defined field.
Neurology had looked for neurological abnormalities.
Cardiology had assessed cardiac function.
Endocrine investigations had examined selected hormonal and metabolic parameters.
None of these assessments was necessarily wrong.
But the case had been divided according to medical disciplines, while Claire experienced it as one continuous physiological trajectory.
Once the episodes are placed chronologically, a recurring association becomes visible.
Many appear approximately one to two hours after meals containing a substantial carbohydrate load.
This observation does not establish a diagnosis.
It does not prove that glucose is responsible for Claire’s cognitive symptoms.
And her fasting glucose measurements provide no obvious indication of abnormal glucose regulation.
But the temporal association is sufficiently recurrent to justify a more precise question:
What is happening to glucose after meals, rather than only at the moment it is measured in the laboratory?
That distinction matters.
A fasting measurement provides information about glucose at a specific point in time. It does not describe every fluctuation occurring throughout the day.
Continuous glucose monitoring can provide a more detailed view of glucose patterns and excursions over time, although its results must themselves be interpreted within their technical and clinical limitations.
A continuous glucose monitoring period is therefore discussed within Claire’s medical care.
The purpose is not to search indiscriminately for an abnormal value.
It is to examine whether the timing of her symptoms corresponds reproducibly with a particular glycaemic pattern.
The recordings show postprandial fluctuations that are not apparent from her fasting measurements.
This is an important observation.
It is not yet an explanation.
Continuous glucose monitoring measures interstitial glucose rather than blood glucose directly, and discrepancies can occur, particularly during periods in which glucose is changing rapidly, including after meals. Sensor readings therefore require appropriate clinical interpretation.
More importantly, Claire does not demonstrate documented glucose values that, on their own, establish hypoglycaemia as the cause of her neurological symptoms.
The distinction is fundamental.
The available information supports three observations.
Claire has recurrent transient cognitive symptoms.
Routine investigations have not identified a structural explanation.
And a temporal relationship appears repeatedly between some of those episodes and the postprandial period.
These observations justify further clinical evaluation.
They do not demonstrate that rapid glucose variation is responsible for Claire’s symptoms.
This is where a hypothesis must remain a hypothesis.
The clinical question therefore becomes more precise:
Could postprandial metabolic regulation be contributing to the episodes, and if so,
how can that possibility be tested rather than assumed?
That question can now be taken back into medical care.
A normal result does not mean that nothing is happening physiologically.
It means that the variable measured, under the conditions and at the time it was measured,
did not meet the criteria for abnormality used by that investigation.
That distinction is particularly relevant for dynamic biological processes.
Glucose, heart rate, blood pressure, hormones and autonomic activity vary over time.
A single measurement and a longitudinal recording therefore provide different kinds of information.
This does not make one superior to the other.
It means that they answer different questions.
In glucose assessment, for example, continuous monitoring can reveal excursions and daily patterns that isolated measurements or longer-term averages do not describe. At the same time, CGM has recognised limitations and its clinical interpretation requires context.
Nothing in Claire’s previous investigations needed to be declared incorrect for the case to be reconsidered.
The MRI could be normal.
The EEG could be unrevealing.
The cardiac evaluation could be reassuring.
The fasting glucose could remain within its reference range.
The problem was elsewhere.
Each result had been interpreted correctly within the question it was designed to answer, but no single result was designed to reconstruct the entire trajectory.
That is a different analytical problem.
The initial question had effectively become:
“Which disease explains these episodes?”
After the chronology was reconstructed, another question became possible:
“Under what physiological conditions do these episodes repeatedly occur?”
That shift does not replace diagnosis.
It helps determine where further investigation may be most informative.
Instead of adding tests without a defined hypothesis, the existing record begins to indicate what should be examined more closely.
In a complex case, the objective is not to make normal results abnormal.
Nor is it to construct an unconventional diagnosis from subtle variations that may have no clinical significance.
The objective is to determine what each result actually establishes — and what it does not.
Then the information can be placed back into sequence:
what happened first;
what preceded an episode;
what followed it;
what remained stable;
what changed;
which hypotheses were tested;
which were excluded;
and which relationships had never been examined because the information existed in different parts
of the medical record.
The distinction is subtle, but essential.
The information may already exist without the explanation existing yet.
Normal investigations are valuable because they can exclude or make less likely important diagnoses.
They should not be minimised.
But normal investigations and persistent symptoms are not contradictory facts.
Both can be true at the same time.
When that happens, the next useful step is not necessarily another broad search for abnormalities.
Sometimes the more productive task is to reconstruct the clinical trajectory and determine whether a reproducible pattern has been hidden by the way the information was separated.
Claire’s case does not demonstrate that normal glucose values conceal a disease.
It demonstrates something more defensible and, clinically, more useful:
A normal measurement can answer the question for which it was designed while leaving another question entirely open.
When extensive medical information already exists but the situation remains difficult to understand, the problem is not necessarily a lack of data.
It may lie in the way those data have been separated, interpreted or followed over time.
Clinical Biological Decoding® reconstructs the chronology, compares the available information, examines the relationships between symptoms, biological data, treatments and evolution, and reviews relevant scientific literature when unresolved inconsistencies require further investigation.
The objective is not to produce an additional diagnosis.
It is to reconstruct a situation that has become difficult to read.
This analysis does not replace medical diagnosis, prescription or follow-up by the treating physician.
Battelino T, Danne T, Bergenstal RM, et al. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care. 2019;42(8):1593–1603.
Danne T, Nimri R, Battelino T, et al. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017;40(12):1631–1640.
American Diabetes Association Professional Practice Committee. Glycemic Goals, Hypoglycemia, and Hyperglycemic Crises: Standards of Care in Diabetes—2026. Diabetes Care. 2026.
Dr Farida Sebbag works on the strategic analysis of complex medical situations in which symptoms persist despite investigations that may remain normal, reassuring or insufficient to explain the clinical trajectory. Her work focuses on reconstructing chronology, identifying interactions between symptoms, biological data, treatments and evolution, and examining relevant international scientific literature.
HypnoCorpe® is a private practice based in Geneva and working internationally. Its analyses do not replace medical diagnosis, prescription or follow-up by the treating physician.
Clinical Analysis · Complex Medical Situations




