Randomised Clinical Trials. David Machin. Читать онлайн. Newlib. NEWLIB.NET

Автор: David Machin
Издательство: John Wiley & Sons Limited
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Жанр произведения: Медицина
Год издания: 0
isbn: 9781119524670
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days and then weekly up to 60 days or trial completion/withdrawal:

       Skin assessment (sacrum, buttocks, heels and hips) using the skin classification scale.

       Mobility/activity/friction and shear/moisture/nutrition/sensory perception scores using Braden scale.

       Mattress checklist including: manufacturer, model, model number, type of mattress and confirmation that the mattress is alternating and working correctly. If the mattress has been changed by ward staff the reason for the change will be documented.

       Seating provision including model of chair or cushion

       Confirm continued eligibility

       8.2.4 Weekly up to 60 days

       8.2.5 Patients with pressure sores

       8.2.6 At trial completion/and or discharge

      3.9.2 Data collection

      In contrast to the previous section, here the precise details of the items required at each assessment should be specified. The items might not be listed exhaustively but are often indicated by reference to the trial forms with a set of specimen forms bound into the protocol. In PRESSURE (2000), skilled personnel were trained about detailed aspects of the protocol, including the examination and documentation procedures. Whenever possible, it is important to complete the documentation as the examination proceeds. Investigators should not rely on making routine clinical notes and sometime later completing the trial‐specific forms, as the notes will not have been designed for trial‐specific purposes and important items may be omitted. The protocol should make clear which form or forms are applicable for each assessment – so numbering the different trial forms in a logical manner is important for this. We return to data collection forms in Section 3.14 below and give some examples in Chapter 4.

      The principal tasks of the statistical team before formulating this section is to debate with the clinical teams’ issues relating to the final sample size chosen for the trial and to describe the main features of the subsequent analysis once the data are in hand. Straightforward statistical methods are preferable but not always feasible. The methods should be explained in lay terms and with appropriate, both accessible and understandable, reference material.

      3.10.1 Number of subjects

      The number of subjects required will depend on the hypotheses to test, the trial design, the type of endpoint variables and whether or not characteristics of the patients themselves need to be taken into account. An important consideration when deciding the eventual trial size is whether such a recruitment target can be achieved in a reasonable time frame. In many instances, developing teams are overly optimistic in this regard.

      Although some details of the trial size process are somewhat routine, in that conventional wisdom dictates that the (two‐sided) test size is set minimally at 5% and the power minimally at 90%, other details such as the anticipated effect sizes should be the subject of long discussion amongst the protocol development team. Neither should they accept the conventional wisdom just indicated without debate. Test size is discussed in Chapters 8 and 9 and power in Chapter 9.

      Example 3.20 Protocol SQGL02: Brimonidine as a neuroprotective agent in acute angle‐closure glaucoma (AACG)

      9. STATISTICAL CONSIDERATIONS

       Trial size

      It is anticipated that after randomisation, 10% of the AACG patients may not respond to the initial medical treatment, and will require surgery instead of laser PI, and thus will not continue in the trial. After PI, it is expected that a further 10% of patients may not complete the trial and may withdraw from the study (see Withdrawal from Treatment). Taking into consideration the patients expected to fall out at each stage, we thus require approximately 80 AACG patients (40 patients per treatment group) for the trial.

      In this example, the protocol takes note of patient losses due to a relatively large proportion expected to need surgery (rather than laser peripheral iridotomy, PI) and compensates by adjusting upwards the number of patients to recruit. They do not stipulate; however, how these patients will be dealt with in the final analysis and reporting. One option is to regard all these as failures when calculating the proportions in each group with visual field loss at 3 months post PI.

      An alternative design possibility would have been to randomise patients after successful PI, so as to avoid recruiting patients who will provide little information on the relative merits of Timolol and Brimonidine. However, the design team may have discussed this (as well as other options) and rejected this for good reasons.

      3.10.2 Analysis

      As with determining the trial size, the format of the analysis will depend on the type of questions being posed, the trial design, the type of endpoint variables and whether or not characteristics of the patients themselves need to be taken into account. If there is only a single endpoint concerned, then the plan for the subsequent analysis may be described rather succinctly except in circumstances where the analysis may be unusual in format. In some situations, several endpoints will be included so that a careful description of the analytic approach for each needs to be detailed. In these circumstances, multiple statistical tests may be concerned and cognisance of that may need to be taken into account.

      Example 3.21 Protocol SQOLP01 (1999): Comparison of steroid with cyclosporine for the topical treatment of oral lichen planus

       Analysis plan

       Primary endpoints

      Analysis of the primary endpoints of response and pain at 4 weeks will be made on an intention‐to‐treat basis.

       Clinical response at 4 weeks

      Comparison of the observed clinical response rates in the two treatment groups will be made using the χ2‐test for the comparison of two proportions and a 95% confidence interval for the difference reported. In addition, logistic regression analysis will verify if this comparison requires adjustment for imbalance in the baseline clinical assessment values.

       Pain score 4 weeks