Skip to content
naulon
Not checkedNot checked for notices yet.

Reporting of pre-enrolment screening with randomized clinical trials: A small item that could impact a big difference

Tiffany M Harris-Brown, David L Paterson

Perspectives in Clinical Research · 2015

doi:10.4103/2229-3485.159937 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

Introduction: Randomized controlled trials (RCTs), when conducted using ethical and transparent methods, become the ultimate standard for producing evidence-based knowledge in the field of medical research. We sought to determine the proportion of RCTs in which the number of screened patients is reported, and also to ascertain what predicted efficient screening (i.e., a high number of screened participants being enrolled). Materials and Methods: Thirty-five RCTs from the Journals Clinical Infectious Diseases and The Lancet Infectious Diseases were reviewed from the time period of January 2012 to July 2013 using standardised criteria. Results: From the 35 RCTs, 9 of 35 (26%) did not report the number of patients screened prior to recruitment. From the 26 studies that reported this screening figure, 10,215 (47%; range: 2-98%) of the screened participants (21,862) were subsequently enrolled. About 18.3% of those screened and not enrolled, met inclusion and exclusion criteria yet did not wish to participate in an RCT. Studies performed in developed countries and pediatric populations were more likely to have low rates of enrolment compared with the screened population although there was no statistical significance to these associations (P = 0.2 for both variables). Conclusion: Many reports of RCTs do not report screening figures, even though these add useful information about the feasibility of future trials.

Abstract licence: CC BY-NC-SA

References43

  1. 1.
  2. 11.

38 more references, whose wording the paper’s licence keeps private.

All 43 references

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.