Wong 2009.

Methods	Identification of subsequent full‐length publications Searched electronic database MEDLINE, Embase for 5 years Search completed by investigator Searched by all authors and keywords Matched abstract to full‐length publication by Contents Title Similarities in authors' names
Data	Included 790 abstracts presented at the 2003 Annual Scientific Sessions of Heart Rhythm Society meeting Included all abstracts
Comparisons	Proportion of abstracts published Median time to publication Survival analysis of publication rate 'Positive' versus not 'positive' Clinical research versus basic science research versus animal research versus simulation studies RCT design versus non‐RCT design
Outcomes	377 of 790 abstracts published Proportion of abstracts published by time Median time to publication = 16.7 months (IQR = 10.6 to 27.6 months) Survival analysis of proportion published at 72 months = 47.7% Factors related to proportion of abstracts published included 185/370 'positive' (defined as significant results) versus 192/420 not 'positive' abstract results published 256/586 abstracts describing clinical research versus 28/43 abstracts describing basic science research versus 78/133 abstracts describing animal research versus 15/28 abstracts describing simulation studies published 37/62 abstracts with RCT design versus 340/728 abstracts with non‐RCT design published
Notes	Cardiology ‐electrophysiology Funding by the National Heart Foundation of Australia, National Heart Foundation of New Zealand, the Kidney Health Foundation of Australia, the University of Adelaide, the Royal Adelaide Hospital, the National Health and Medical Research Council of Australia
Risk of bias
Item	Authors' judgement	Description
Sampling method?	Yes	Included all abstracts.
Search for publications?	Yes	Searched 2 databases.
Follow‐up time?	Yes	The meeting had 5 years follow‐up.
Matching?	Yes	Matched by 3 different criteria.
Adjustment for confounding?	Yes	Examined association of positive results, type science, and study design with publication using multivariable logistic regression.