Recommendations for assessing the risk of bias in systematic reviews of health-care interventions
Clicks: 252
ID: 266809
2018
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
11.7
/100
39 views
39 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Risk-of-bias assessment remains a challenging but essential step in systematic reviews. We presented standards to promote transparency of judgments.
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (19 words).
Try re-searching for a better abstract.
| Reference Key |
m2018journalrecommendations
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Viswanathan M;Patnode CD;Berkman ND;Bass EB;Chang S;Hartling L;Murad MH;Treadwell JR;Kane RL;; |
| Journal | journal of clinical epidemiology |
| Year | 2018 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
humans
pubmed abstract
nih
national institutes of health
national library of medicine
reproducibility of results
research support
non-u.s. gov't
u.s. gov't
P.H.S.
risk assessment
evidence-based medicine / standards
guidelines as topic
research design / standards*
pmid:29248724
doi:10.1016/j.jclinepi.2017.12.004
meera viswanathan
carrie d patnode
robert l kane
bias*
systematic reviews as topic*
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.