30 research outputs found
Evaluation of appendicitis risk prediction models in adults with suspected appendicitis
Background
Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis.
Methods
A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis).
Results
Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent).
Conclusion
Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified
Financial reporting quality and the cost of debt of SMEs
This study explores a large and detailed dataset of financial statements of Belgian small and medium-sized enterprises (SMEs) over the 1997–2010 period. Using accruals quality as a proxy for the quality of SMEs’ financial reports, we find that the quality of SMEs’ financial statements is negatively related to those companies’ effective interest cost. This result is also highly economically significant. The findings in this paper are consistent with the idea that earnings are important for creditors in predicting SMEs’ reimbursement capacity (i.e., future cash flows) and that less estimation error in accruals enhances earnings’ ability to predict future cash flows. We deliver evidence of an important economic benefit of financial reporting for SMEs, to wit, the potential to reduce information asymmetry between SMEs and their creditors through higher-quality financial reporting
Investigating physiological changes in the aerial parts of AM plants: what do we know and where should we be heading?
The original publication can be found at www.springerlink.comResearch in the field of arbuscular mycorrhizal (AM) symbiosis has taken a giant leap in the past two decades, as demonstrated by the large amount of literature being published every year. Most of the research efforts have been put towards the understanding of the mechanisms of this symbiosis. However, there are still several unknowns on the systemic effects of the AM symbiosis, and our understanding of non-nutritional effects on the physiological changes occurring in the aerial parts of the host plant is yet quite limited. In this short note, I briefly address the question, if there are any changes in metabolic activities that are triggered by AM fungi, and assess the importance of such changes for mycorrhizal research and application.J.-P. Toussain