Methods |
Identification of subsequent full‐length publications
|
Data |
Included 250 abstracts presented at the 2009 International Psychogeriatric Association Congress, Clinical Trials on Alzheimer’s Disease and Alzheimer’s Association International Conference meetings
Included all abstracts related to dementia diagnosis
|
Comparisons |
Proportion of abstracts published
'Positive' versus not 'positive'
Oral versus poster presentation
European versus North American versus rest of world origin
Sample size
Meeting
Clinic versus community versus Alzheimer's Disease Neuroimaging Initiative versus unknown setting
Imaging versus cerebrospinal fluid versus other biomarkers versus non‐biomarkers
Inclusion of participant with versus without mild cognitive impairment
|
Outcomes |
97 of 250 abstracts published
Proportion of abstracts published by time not reported
-
Factors related to proportion of abstracts published included
87/209 abstracts with 'positive' (defined as 'experimental better than control’) versus 10/41 abstracts with not 'positive' abstract results published
26/53 abstracts presented orally versus 71/197 abstracts presented as poster published
44/105 abstracts with sample size > 100 versus 35/16 abstracts with sample size < 100 published
36/85 abstracts originating in North America versus 40/91 abstracts originating in Europe versus 10/44 abstracts originating elsewhere versus 11/30 abstracts of international origin published
|
Notes |
Neurology ‐ dementia
Received 'grant funding'
|
Risk of bias |
Item |
Authors' judgement |
Description |
Sampling method? |
Yes |
Included all abstracts of a specific topic. |
Search for publications? |
Yes |
Searched 3 databases and contacted abstract authors directly. |
Follow‐up time? |
Unclear |
Dates of search not reported. |
Matching? |
Unclear |
Matching criteria not reported. |
Adjustment for confounding? |
Yes |
Examined association of meeting, positive results, type of presentation, sample size, country of origin, setting, type test, and inclusion criteria with publication using multivariable logistic regression. |