BACKGROUND Systematic review (SR) abstracts are frequently relied upon to guide clinical decision-making. However, there is mounting evidence that the quality of abstract reporting in the medical literature is suboptimal. OBJECTIVE To appraise SR abstract reporting quality in neurosurgical journals and identify factors associated with improved reporting. METHODS This study systematically surveyed SR abstracts published in 8 leading neurosurgical journals between 8 April 2007 and 21 August 2017. Abstracts were identified through a search of the MEDLINE database and their reporting quality was determined in duplicate using a tool derived from the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Abstracts (PRISMA-A) statement. All SR abstracts that provided comparison between treatment strategies were eligible for inclusion. Descriptive statistics were utilized to identify factors associated with improved reporting. RESULTS A total of 257 abstracts were included in the analysis, with a mean of 22.8 (±25.3) included studies. The overall quality of reporting in included abstracts was suboptimal, with a mean score of 53.05% (±11.18). Reporting scores were higher among abstracts published after the release of the PRISMA-A guidelines (M = 56.52; 21.74-73.91) compared with those published beforehand (M = 47.83; 8.70-69.57; U = 4346.00, z = –4.61, P < .001). Similarly, both word count (r = 0.338, P < .001) and journal impact factor (r = 0.199, P = .001) were associated with an improved reporting score. CONCLUSION This study demonstrates that the overall reporting quality of abstracts in leading neurosurgical journals requires improvement. Strengths include the large number abstracts assessed, and its weaknesses include the fact that only neurosurgery-specific journals were surveyed. We recommend that attention be turned toward strengthening abstract submission and peer-review processes.
Study Design: This was an ambispective clinical quality registry study. Objective: To evaluate utility of 11-variable modified Frailty Index (mFI) in predicting postoperative outcomes among patients ≥80 years undergoing spinal surgery. Methods: Consecutive patients ≥80 years who underwent spinal surgery between January 1, 2013, and June 30, 2018, were included. Primary outcome measure was rate of major complication. Secondary outcome measures were (1) overall complication rate, (2) surgical site infection, and (3) 6-month mortality. Results: A total of 121 operations were performed. Demographic metrics were (1) age (mean ± SD) = 83.1 ± 2.8 years and (2) mFI (mean ± SD) = 2.1 ± 1.4 variables. As mFI increased from 0 to ≥4 variables, risk of major complication increased from 18.2% to 40.0% ( P = .014); overall complication increased from 45.5% to 70.0% ( P = .032); surgical site infection increased from 0.0% to 25.0% ( P = .007). There were no significant changes in risk of 6-month mortality across mFIs ( P = .115). Multivariate analysis showed that a higher mFI score of ≥3 variables was associated with a significantly higher risk of (1) major complication ( P = .025); (2) overall complication ( P = .015); (3) surgical site infection ( P = .007); and (4) mortality ( P = .044). Conclusions: mFI scores of ≥3/11 variables were associated with a higher risk of postoperative morbidity in patients aged ≥80 years undergoing spinal surgery. The mFI-associated risk stratification provides a valuable adjunct in surgical decision making for this rapidly growing subpopulation of patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.