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. 2022 Nov 23:16:1476.
doi: 10.3332/ecancer.2022.1476. eCollection 2022.

Audit of screen failure in 15 randomised studies from a low and middle-income country

Deevyashali Parekh  1 , Vijay M Patil  1 , Kavita Nawale  1 , Vanita Noronha  2   1 , Nandini Menon  2   1 , Sucheta More  2   1 , Supriya Goud  2   1 , Srushti Jain  2   1 , Vijayalakshmi Mathrudev  2   1 , Zoya Peelay  2   1 , Sachin Dhumal  2   1 , Shweta Jogdhankar  2   1 , Kumar Prabhash  2   1
Affiliations

Audit of screen failure in 15 randomised studies from a low and middle-income country

Deevyashali Parekh et al. Ecancermedicalscience. .

Abstract

Background: Growth and development in patient management occurs via randomised studies. Screen failure is a significant hurdle while conducting randomised studies. There is limited data available from low and middle-income countries about factors resulting in screen failure. Hence, this audit was performed to identify the proportion of patients who screen failed and to elucidate reasons for the same.

Methods: This was an audit of 15 randomised studies performed by medical oncology solid tumour unit II of Tata Memorial Centre. The screening logs of these studies were acquired. From the screening logs, data regarding the number of patients who had screen failed & reason for the same were obtained. Descriptive statistics were performed.

Results: A total of 7,481 patients were screened for 15 randomised clinical studies. Out of these, 3,666 (49.0%) patients were enrolled into trials and 3,815 (51.0%) screen failed. The most common reason for screen failure was 'not meeting inclusion criteria' (54.9%) followed by declining to take treatment (22.2%). Other factors that affect enrolment were 'not willing to stay in the locality of the trial site' (6.2%), being recruited in other studies (3.7%), poor performance status (PS) (3.4%), non-compliance (2.2%), meeting exclusion criteria (0.9%) and 'other' (6.5%).

Conclusion: The commonest causes of screen failure in lower and middle-income countries are non-meeting of inclusion criteria followed by declining to take treatment, not willing to stay in locality of trial site, recruited into other studies, poor PS, non-compliance, meeting exclusion criteria & 'other'. This information would help analysing and hence planning of newer strategies to decrease the rate of screen failure.

Keywords: clinical trials; epidemiology; head and neck cancer; oncology; solid tumour; statistics.

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Conflict of interest statement

None.

Figures

Figure 1.
Figure 1.. Flowchart of inclusion and exclusion criteria for patients in this study.
Figure 2.
Figure 2.. Pie-chart showing the distribution of causes of screen failure (n = 3,815).
See this image and copyright information in PMC

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