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Related Experiment Video

Updated: Jun 4, 2026

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients

Published on: April 12, 2011

Tracking down muscle weakness.

Canadian Family Physician Medecin De Famille Canadien

|February 10, 2011

Summary

Family physicians can diagnose complex diseases by observing long-term patient symptoms. This case highlights how initial neurological issues evolved, revealing an unsuspected underlying condition over time.

Area of Science:

Medicine
Neurology
Disease Diagnosis

Background:

Family physicians provide longitudinal patient care, enabling comprehensive disease observation.
Patients may present with initial symptoms that mask a deeper, evolving pathology.

Purpose of the Study:

To illustrate the diagnostic value of long-term patient monitoring in family medicine.
To highlight how seemingly unrelated symptoms can indicate a single underlying disease process.

Main Methods:

Case report analysis.
Longitudinal patient observation.
Correlation of initial neurological symptoms with later clinical and laboratory findings post-surgery.

Main Results:

Initial presentation included neurological symptoms and muscle weakness.

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Published on: March 4, 2014

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Last Updated: Jun 4, 2026

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients

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Published on: April 12, 2011

Utility of Dissociated Intrinsic Hand Muscle Atrophy in the Diagnosis of Amyotrophic Lateral Sclerosis

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Published on: March 4, 2014

Subsequent surgical intervention yielded data revealing an unsuspected disease.

The case demonstrates the progression of an undiagnosed condition over several years.

Conclusions:

Long-term family physician-patient relationships are crucial for identifying complex and evolving diseases.
Early neurological symptoms can be indicative of underlying systemic conditions.
Integrated clinical and laboratory data are essential for uncovering hidden pathologies.