2018
DOI: 10.1007/s00134-018-5066-3
|View full text |Cite
|
Sign up to set email alerts
|

Are systematic reviews and meta-analyses still useful research? No

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
21
0
2

Year Published

2018
2018
2022
2022

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 24 publications
(23 citation statements)
references
References 16 publications
0
21
0
2
Order By: Relevance
“…Besides the benefits of CDSRs, there has to be some critical issues to be raised. To be named are the lack of comparability, the risks of bias, indirectness, imprecision, and inconsistency [2]. While the CDSR has nearly published 10,000 systematic reviews so far, the underlying architecture has not been analyzed so far using advanced scientometric tools.…”
Section: Introductionmentioning
confidence: 99%
“…Besides the benefits of CDSRs, there has to be some critical issues to be raised. To be named are the lack of comparability, the risks of bias, indirectness, imprecision, and inconsistency [2]. While the CDSR has nearly published 10,000 systematic reviews so far, the underlying architecture has not been analyzed so far using advanced scientometric tools.…”
Section: Introductionmentioning
confidence: 99%
“…As commented by Alison McCook on the Retraction Watch blog [35] , retractions due to fabricated peer reviews are becoming a trend. With the current global research output with 20,000 journals publishing more than 2 million articles per year and thousands of scientists publishing a paper every ve days [36][37] , researchers worldwide are under great pressure to publish papers indexed by SCI for graduation, promotion, and acquisition of research funds. The need to publish has grown beyond the capacity of the scientists [38][39] .…”
Section: Discussionmentioning
confidence: 99%
“…For instance, different studies may differ in terms of the case-mix of participants, the version of the intervention that is provided, the outcome evaluation or as a result of potential biases. [4][5][6][7][8][9] Random-effect meta-analyses are commonly employed to model such heterogeneity. Under a random-effects model, the treatment effects in the considered studies are supposed to have been sampled from a distribution of true effects.…”
Section: Introductionmentioning
confidence: 99%