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. 2018 Nov 20;2018(11):MR000005. doi: 10.1002/14651858.MR000005.pub4

Cheng 1998.

Methods Identification of subsequent full‐length publications
  • Searched electronic database

    • Cochrane Cystic Fibrosis Group register, Embase, MEDLINE to 1995

    • Search completed by investigator

    • Search criteria not reported

    • Matched abstract to full‐length publication by

      • All authors

      • Titles

      • Content

      • Methodology

Data
  • Included 178 abstracts found in Cochrane Cystic Fibrosis group's register of trials

  • Included all abstracts of RCTs except duplicates and those published before presentation

Comparisons
  • Proportion of abstracts published

  • Median time to publication

  • Survival analysis of publication rate

  • 'Positive' versus not 'positive'

  • Sample size equal to or above the median versus sample size below the median

Outcomes
  • 57 of 178 abstracts published

  • Proportion of abstracts published by time

    • Median time to publication = 18 months

    • Survival analysis of proportion published at 60 months = 40.1%

  • Factors related to proportion of abstracts published included

    • 43/113 'positive' (defined as experimental better than control) versus 14/42 not 'positive' abstract results published

    • 36/92 abstracts with sample size equal to or above the median versus 25/78 abstracts with sample size below the median published

Notes
  • Other clinical specialties ‐ cystic fibrosis

  • Funding by National Health Service

Risk of bias
Item Authors' judgement Description
Sampling method? Yes Included all RCTs with reasonable exceptions.
Search for publications? Yes Searched 3 databases.
Follow‐up time? Unclear Follow‐up of abstracts as short as 3 months to multiple years. Unclear how many abstracts were followed up for < 48 months.
Matching? Yes Matched by 4 different criteria.
Adjustment for confounding? No Examined association of positive results and sample size with publication using stratified analysis and time to publication with univariate Cox regression models.