2017
DOI: 10.1007/s11999-017-5371-0
|View full text |Cite
|
Sign up to set email alerts
|

Editorial: Getting the Most from What You Read in Orthopaedic Journals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
8
0
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
8

Relationship

5
3

Authors

Journals

citations
Cited by 19 publications
(9 citation statements)
references
References 9 publications
(9 reference statements)
0
8
0
1
Order By: Relevance
“…We believe this is time and money very well spent. The second step is to ensure that our patient doesn't choose surgery based on misconceptions: Misconceptions about a procedure's efficacy in general [4] (which often are overstated because of the kinds of bias so prevalent in retrospective surgical research [19]), or misconceptions about a musculoskeletal procedure's ability to help somatic symptoms in a patient with psychological distress (even in the presence of "objective" musculoskeletal pathology, which may be nothing more than age-related tissue changes [3,22]).…”
Section: Why People Make Surgical Decisions That Might Not Benefit Themmentioning
confidence: 99%
“…We believe this is time and money very well spent. The second step is to ensure that our patient doesn't choose surgery based on misconceptions: Misconceptions about a procedure's efficacy in general [4] (which often are overstated because of the kinds of bias so prevalent in retrospective surgical research [19]), or misconceptions about a musculoskeletal procedure's ability to help somatic symptoms in a patient with psychological distress (even in the presence of "objective" musculoskeletal pathology, which may be nothing more than age-related tissue changes [3,22]).…”
Section: Why People Make Surgical Decisions That Might Not Benefit Themmentioning
confidence: 99%
“…The main kinds of bias that accrue in retrospective and observational surgical research do not offset one another, they're additive. Selection bias (treatment groups with baseline differences in elements that may affect the outcomes in question), transfer bias (follow-up that is insufficiently long or complete to discern all relevant harms of treatment), and assessment bias (using nonvalidated endpoints when evaluating outcomes) befoul retrospective studies more than randomized trials, and they all tend to make the novel treatment appear better than it actually is [7]. If one pools a population of studies that tends to suffer from those limitations in a meta-analysis, the meta-analysis will tend to amplify those biases and overestimate the benefits of treatment.…”
mentioning
confidence: 99%
“…Again, the answer is decidedly low-tech, if not downright unsexy: Human nature [11] as well as the common kinds of biases that cause us to overestimate our effectiveness in other areas [12] typically beset research about our newest tools. These include selection bias, transfer bias, and assessment bias, as well as the conflation of statistical significance with clinical importance (Table 1).…”
mentioning
confidence: 99%