Our Systems
Below are links to each PMA system developed to-date. Click as
required to see information on the type of patient data held, the range of
reports available and example screen shots of the data entry pages for the
selected speciality:
The systems are designed to be quick and easy to use, with drop-down selections, tick boxes and calendars for entering dates. Key information is highlighted in red and validated at entry time to ensure patient information is kept as accurate and complete as possible.
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All PMA Systems can be used in conjunction with our Statistics module
for research purposes and the management of survival expectancies
including:
- comparing the effect of different treatments and techniques on survival
- calculating five year survival figures
- building life-table and log-ranking graphs
- running multi-variant analyses of selected conditions
- exporting graphs into PowerPoint presentations
- exporting all calculations into Excel for further analysis
View some sample reports, life tables, log-rankings and Cox regression graphs
The first step when running PMAS Statistics is to build the survival
group on which all further analyses are carried out. The user has
complete control over the conditions (scopes) that determine which
patients are included in each survival group. Several scopes can be
built and then used as required, e.g. select all patients who have:
- presented with a particular diagnosis
- been assigned to a selected consultant/surgeon
- undergone a selected operation (or one of a range of operations)
- been operated on during a selected date range
- been confirmed as having a particular tumour type or staging
Once a survival group is built, a range of reports, analyses, life
tables, log-ranking and Cox regression graphs is available for display,
printing and exporting into PowerPoint, Excel or Word.
The mathematics used in PMAS Statistics is based on papers published by Peto and Pike in the British Journal of Cancer in 1976 & 1977, entitled ‘Design and analysis of randomized clinical trials requiring prolonged observation of each patient’. More recently, Cox regression has been added now that desktop computers are sufficiently powerful to handle the immense amount of processing required.
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