Plots are an elegant and effective way to represent
data. At their best they encourage the reader and promote comprehension.
A graphical representation can give a far more intuitive feel to
the pattern of results in the study than a list of numerical data,
or the result of a statistical calculation. The temptation to exaggerate differences or relationships between
variables by using broken axes, overlaid axes, or inconsistent scaling
between plots should be avoided. A plot should be self-explanatory and not complicated. It should
make good use of the available space. The axes should be scaled
appropriately and labelled with an appropriate dimension. Plots are recognised statistical methods of presenting data and
usually require specialised statistical software to create them.
The statistical analysis and methods to generate the plots are as
important as the methodology of the study itself. The software,
including dates and version numbers, as well as statistical tests
should be appropriately referenced. Following some of the guidance provided in this article will
enhance a manuscript. Cite this article:
To report a retrospective study of 103 cases of primary spinal infection, the largest ever such series from the UK, analysing presenting symptoms, investigations, bacteriology and the results of treatment. This is a retrospective review of all patients (54 Male, 49 Female) treated for primary spinal infection in a Teaching Hospital in the UK.Purpose
Method
