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

Moorthi 2013.

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

    • PubMed until June 2010

    • Person completing the search not reported

    • Searched by first and last author, and title

    • Matching criteria not reported

Data
  • Included 73 abstracts submitted to the 2005 American Society of Nephrology meeting

  • Included all abstracts of completed randomized controlled trials

Comparisons
  • Proportion of abstracts published

  • Median time to publication

  • Industry funding

  • Oral versus poster presentation

  • Multi‐centered

  • Statistically significant results

  • European versus North American origin

  • Asian versus North American origin

Outcomes
  • 39 of 73 abstracts published

  • Proportion of abstracts published by time

    • Median time to publication = 24 months (IQR = 13 to 36 months)

  • Factors related to proportion of abstracts published included

    • Industry funding = OR 2.92 (95% CI = 1.09 to 7.85)

    • Oral versus poster presentation = OR 3.66 (95% CI = 1.29 to 10.39)

    • Multi‐centered versus single center = OR 1.71 (95% CI = 0.59 to 5.02)

    • Positive results (defined as statistically significant) results versus not positive = OR 1.59 (95% CI = 0.57 to 4.49)

    • European versus North American origin = OR 0.61 (95% CI = 0.19 to 1.89)

    • Asian versus North American origin = OR 0.18 (95% CI = 0.05 to 0.72)

Notes
  • Nephrology

  • Funding not reported

Risk of bias
Item Authors' judgement Description
Sampling method? Yes Included all abstracts that described specific study design, so low risk of bias.
Search for publications? No Searched only 1 database.
Follow‐up time? Yes The meeting had 5 years follow‐up.
Matching? Unclear Matching criteria not reported.
Adjustment for confounding? No Examined association of positive results, type of presentation, country of origin, industry funding, and various aspects of study design with publication using univariate logistic regression analysis.