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Related Concept Videos

Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Correlation01:09

Correlation

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Wave Parameters01:10

Wave Parameters

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The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
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Correlation and Regression00:53

Correlation and Regression

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Coefficient of Correlation01:12

Coefficient of Correlation

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The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
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Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
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Correlation between hematological parameters and ancylostomiasis: A retrospective study.

Zuojian Hu1, Huaping Chen1, Li Huang1

  • 1Department of Laboratory Medicine, First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Journal of Clinical Laboratory Analysis
|November 4, 2018
PubMed
Summary
This summary is machine-generated.

Hematological parameters like neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and eosinophil-to-lymphocyte ratio (ELR) can help diagnose ancylostomiasis. Elevated NLR, PLR, and ELR levels are significantly higher in patients with ancylostomiasis compared to healthy individuals.

Keywords:
ancylostomiasiseosinophil-to-lymphocyte rationeutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratio

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Area of Science:

  • Hematology
  • Infectious Diseases
  • Parasitology

Background:

  • Ancylostomiasis is a soil-transmitted helminth infection.
  • Hematological parameters can reflect inflammatory and immune responses.

Purpose of the Study:

  • To investigate the relationship between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and eosinophil-to-lymphocyte ratio (ELR) and ancylostomiasis.
  • To evaluate the diagnostic efficacy of these ratios in identifying ancylostomiasis patients.

Main Methods:

  • A case-control study involving 140 ancylostomiasis patients and 159 healthy controls.
  • Data collected from electronic medical records.
  • Analysis of NLR, PLR, and ELR levels and their correlation with diagnostic markers.

Main Results:

  • NLR, PLR, and ELR were significantly elevated in ancylostomiasis patients (P < 0.001).
  • ELR demonstrated the highest diagnostic efficacy (AUC = 0.850), followed by PLR (AUC = 0.806) and NLR (AUC = 0.718).
  • A multivariate model combining RBC and ELR achieved 82.86% sensitivity and 96.23% specificity.

Conclusions:

  • NLR, PLR, and ELR are valuable indicators for differentiating ancylostomiasis patients from healthy controls.
  • These hematological ratios may serve as accessible biomarkers for ancylostomiasis diagnosis.
  • NLR and PLR showed a negative association with eosinophil counts in patients.