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Related Concept Videos

Sign Convention01:30

Sign Convention

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When analyzing a beam subjected to various loads, it is crucial to understand the internal forces and moments generated within the structure. These internal forces can be broadly classified into normal forces, shear forces, and bending moments. To determine these forces and moments, we use the method of sections and apply a specific sign convention based on their direction and the side of the section being analyzed.
The normal force acts perpendicular to the beam's cross-section and can...
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Puberty is a critical phase, typically beginning between the ages of 8 and 13 in girls and 9 and 14 in boys, though timing can vary based on genetics, environmental factors, and overall health. This period is characterized by the development of secondary sexual characteristics and the attainment of reproductive potential. Endocrine changes underpin puberty, with hormonal surges of Luteinizing Hormone (LH) and Follicle-Stimulating Hormone (FSH) instigated by Gonadotropin-Releasing Hormone (GnRH)...
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Introduction to the Sign Test01:10

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The sign test is an important tool in nonparametric statistics, offering a straightforward yet effective method for analyzing matched pairs, nominal data, or hypotheses concerning the median of a population. It transforms data points into positive or negative signs, avoiding the need for assumptions about data distribution and instead focusing on the direction of change. It is particularly valuable when data does not conform to the normal distribution requirements of many parametric tests. For...
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Introduction to Vital Signs01:25

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Vital signs are physiological measurements that help key into the status of the body's essential functions. These include body temperature, pulse rate, respiratory rate, and blood pressure, commonly abbreviated as T, P, R, and BP. Some healthcare settings also consider oxygen saturation (SpO2) and, in specific contexts, pain and level of consciousness as additional vital signs.
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Sign Test for Nominal Data01:12

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The sign test is a nonparametric method used to evaluate hypotheses about the median of a single sample or to compare the medians of two related samples. The sign test is particularly useful when dealing with nominal data, which includes distinct categories without an inherent order, such as names, labels, and preferences. Nominal data restricts statistical analysis to evaluating population proportions rather than mean or median values that require continuous data.
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Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

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The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
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Related Experiment Video

Updated: Feb 2, 2026

Author Spotlight: A Novel 3D-Printed Titanium Implant for Minimally Invasive Treatment of Hip Dysplasia in Young Dogs
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The Cliff Sign: A New Radiographic Sign of Hip Instability.

Jonathan D Packer1, James B Cowan2, Brian J Rebolledo3

  • 1Department of Orthopaedics, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Orthopaedic Journal of Sports Medicine
|November 28, 2018
PubMed
Summary
This summary is machine-generated.

The "cliff sign" on hip radiographs is a new indicator for hip microinstability. This finding shows high reliability and may aid in preoperative diagnosis, especially in young women.

Keywords:
arthroscopycliff signhipmicroinstabilityradiographs

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Area of Science:

  • Orthopedic Surgery
  • Diagnostic Imaging
  • Hip Biomechanics

Background:

  • Preoperative diagnosis of hip microinstability is challenging.
  • Limited radiographic features for hip microinstability are reported.
  • The "cliff sign" is a novel radiographic finding observed in patients with hip microinstability.

Purpose of the Study:

  • To correlate the cliff sign and related measurements with intraoperative hip microinstability.
  • To assess the interobserver reliability of cliff sign measurements.

Main Methods:

  • A cohort of 96 patients undergoing hip arthroscopy were analyzed.
  • The cliff sign was identified on anteroposterior pelvis radiographs.
  • Intraoperative diagnosis of microinstability was based on traction, reduction, and direct findings.

Main Results:

  • 89% of patients with microinstability exhibited the cliff sign (P < .0001).
  • 74% of patients with a cliff sign were diagnosed with microinstability (P < .0001).
  • 100% of young women (<32 years) with a cliff sign had intraoperative microinstability.

Conclusions:

  • The cliff sign is a reliable radiographic marker for hip microinstability.
  • The cliff sign demonstrates excellent interobserver reliability.
  • This sign shows potential utility in the preoperative assessment of hip microinstability.