Lab Report, Health sciences and medicine

Lab Report, Health sciences and medicine
EXPERIMENT TO DETERMINE THE EFFECTS OF VARIOUS SUBSTANCES ON THE RATE OF SODIUM, POTASSIUM & URINE EXCRETION IN THE HUMAN
Project description
Your report should be written in the format of a journal article. As an approximate guide <br />
to the format of your write-up, please refer to the paper “A Study of Academic Dishonesty <br />
Among Students at Two Pharmacy Schools” by Aggarwal et al., The Pharmaceutical Journal, <br />
2002, vol 269, pp529-533, available in the Learning Materials section on Student Central. <br />
The report, which should be typed, written in the past tense and impersonal, should <br />
consist of the following sections:<br />
<br />
Abstract (approximately 250 words) <br />
Briefly outline the aims of the practical, methodology, results (including specific <br />
significant data where appropriate) and conclusions. <br />
<br />
Introduction and Aims (approximately 100 words) <br />
Provide a brief background to the study and list the main aims of the experiment. <br />
<br />
Materials and Methods (approximately 500 words) <br />
Include a brief description of the materials and methodology used in sufficient detail to <br />
allow the study to be replicated. What kind of study was this? What groups were used? <br />
How many subjects were in each group? Who were excluded from participating? What <br />
about subjects who didn?t want to take alcohol? How were the treatments allocated? This <br />
section should also include a brief description of the method used to convert the Na+ and <br />
K+ raw data (see below) and also the statistical tests used (see below). <br />
<br />
Results (500-1,000 words) <br />
(i) Complete the Data tables based on the Excel datasheet provided on Student Central <br />
should be provided. Use the combined raw data supplied by members of three groups. <br />
<br />
These tables should also show the conversion of the Na+ and K+ data from Concentrations <br />
(mM or mmol/L) to Output (mmol), based on the urine production every 30 min as <br />
discussed in the lab class – you must do this for your Na+ and K+ data to make any sense. <br />
Calculate the mean values for each group at each time point. Also calculate standard <br />
deviations (Std Dev) and state the number of subjects in each group (N). Please provide a <br />
copy of the complete data table as part of your report – this will allow me to provide <br />
feedback if there are any errors in your calculations. <br />
<br />
NOTE: Please include this table in an Appendix at the end of your report (as this form of <br />
data analysis is not normally seen in a research article but we?re asking you to provide it <br />
to aid our marking). <br />
<br />
(ii) Perform the statistical analysis of the data using relevant t-tests (paired, unpaired) <br />
as described at the end of the practical class. You can use Excel, SPSS or Minitab to do this. <br />
<br />
Specifically, you need to check if: <br />
(a) there is a significant change in any parameter measured at 30 min and 150 min (urine <br />
volume, cumulative urine, Na+ output, K+ output) and <br />
(b) there is a significant difference between the values for orange juice, alcohol and <br />
furosemide data obtained at 150 min. <br />
<br />
Provide summary tables of the statistical analysis of the data (P values only). Avoid’ data-dumping? i.e. pages of unnecessary statistical information downloaded from SPSS, etc. You could highlight any significant changes (i.e. groups where P < 0.05). <br />
NOTE: Please include this table in an Appendix at the end of your report (as this form of <br />
data analysis is not normally seen in a research article but we?re asking you to provide it <br />
to aid our marking).<br />
<br />
(iii) Draw and provide the 4 graphs as described at the end of the practical: <br />
(a) the average urine output in mL every 30 min <br />
(b) the average cumulative urine output in mL every 30 min <br />
(c) the average Na+ output in mmol every 30 min <br />
(d) the average K+ output in mmol every 30 min <br />
Ideally these should indicate any significant changes between groups as discovered <br />
during your statistical analysis which can be shown on your graphs using symbols (e.g. #)<br />
<br />
(iv) Provide a commentary of your results. Look at each graph and associated statistical <br />
analysis and describe what they show. Bear in mind that there may not be a significant <br />
change where you would expect one but look for any trends and comment on this. <br />
<br />
<br />
Discussion (500-1,000 words) <br />
This should include a brief re-iteration of each result together with a discussion of the <br />
reasons for the result. Discuss the results from the experiment in the light of your <br />
knowledge of renal physiology and pharmacology. The discussion material can be based <br />
on information obtained from my lectures, text books, scientific publications or even the <br />
academic sources on the Internet (but be sure that your source is scientifically accurate). <br />
You need to show that you understand how furosemide works in a different way to <br />
alcohol, but also note that the 1L orange squash taken by all the volunteers may also have a <br />
diuretic action – why? How could this experiment have been improved? Improvements to <br />
the study design here can be discussed here. <br />
<br />
Conclusions (maximum 100 words) <br />
A brief conclusions section should be included summarising the most important findings <br />
of the study. Any clinical relevance can be mentioned here. Is furosemide a good diuretic?<br />
<br />
References – All sources of information used in the completion of this report should be <br />
cited within the text and appear in the reference list at the end of the report. Please refer to <br />
journal articles for examples of accurate and precise formatting of the references and use a <br />
consistent style in your report. The research article provided can be used for guidance. <br />
<br />
Appendix – This should include <br />
(1) The completed Excel tables of raw and processed data <br />
(2) The tables of P values obtained from your statistical analysis

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