The platform will undergo maintenance on Sep 14 at about 9:30 AM EST and will be unavailable for approximately 1 hour.
2017
DOI: 10.1016/j.wneu.2017.07.117
|View full text |Cite
|
Sign up to set email alerts
|

Multicenter Retrospective Cohort Study of “Talk and Die” After Traumatic Brain Injury

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

5
30
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 32 publications
(42 citation statements)
references
References 13 publications
5
30
1
Order By: Relevance
“…These studies were penalised because of biases on multiple levels, four or more out of seven criteria of biases. A total of 2722–48 studies, all of ‘moderate’ quality, were included for data analysis (figure 1).…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…These studies were penalised because of biases on multiple levels, four or more out of seven criteria of biases. A total of 2722–48 studies, all of ‘moderate’ quality, were included for data analysis (figure 1).…”
Section: Resultsmentioning
confidence: 99%
“…A summary of the included studies is presented in Table 1, online supplementary tables 3 and 4. Among the 27 studies, 14 were population based23 25 26 28 29 33–37 40 41 44 45 and 13 were clinical studies 22 24 27 30–32 38 39 42 43 46–48. Of the 14 population-based studies, all but one used a retrospective cohort design 29.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…A recent analysis confirmed that cranial vault fracture (CVF) is an independent risk factor of mortality in patients after TBI who were able to talk on admission. 6 Management of patients with SF is generally conservative; however, some of them may require neurosurgical intervention due to bleeding with increased intracranial pressure, penetrating trauma, or CSF leakage. Defining the prognostic value of various clinical findings could be of great importance for developing decision-making algorithms.…”
Section: Introductionmentioning
confidence: 99%