Clinical diagnostic accuracy of acute colonic diverticulitis in patients admitted with acute abdominal pain, a receiver operating characteristic curve analysis

Talabani, Aras Jamal; Endreseth, Birger Henning; Lydersen, Stian; Edna, Tom-Harald

doi:10.1007/s00384-016-2644-0

Cited by 16 publications

(15 citation statements)

References 38 publications

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“…Together with other clinical findings, laboratory tests may be helpful to guide the clinician in the diagnosis [64]. Several studies indicate that C-reactive protein levels are correlated to the severity of disease and recurrence rates; however, certain discrimination between the stages of the disease is not possible [65][66][67][68]. Existing studies investigating the correlation between clinical findings and staging at imaging are very heterogeneous and generally not of high quality [29].…”

Section: What Are the Risk Factors For Diverticulosis Diverticulitismentioning

confidence: 99%

European Society of Coloproctology: guidelines for the management of diverticular disease of the colon

Schultz

Azhar

Binda³

et al. 2020

Colorectal Disease

168

177

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Aim The goal of this European Society of Coloproctology (ESCP) guideline project is to give an overview of the existing evidence on the management of diverticular disease, primarily as a guidance to surgeons. Methods The guideline was developed during several working phases including three voting rounds and one consensus meeting. The two project leads (JKS and EA) appointed by the ESCP guideline committee together with one member of the guideline committee (WB) agreed on the methodology, decided on six themes for working groups (WGs) and drafted a list of research questions. Senior WG members, mostly colorectal surgeons within the ESCP, were invited based on publication records and geographical aspects. Other specialties were included in the WGs where relevant. In addition, one trainee or PhD fellow was invited in each WG. All six WGs revised the research questions if necessary, did a literature search, created evidence tables where feasible, and drafted supporting text to each research question and statement. The text and statement proposals from each WG were arranged as one document by the first and last authors before online voting by all authors in two rounds. For the second voting ESCP national representatives were also invited. More than 90% agreement was considered a consensus. The final phrasing of the statements with < 90% agreement was discussed in a consensus meeting at the ESCP annual meeting in Vienna in September 2019. Thereafter, the first and the last author drafted the final text of the guideline and circulated it for final approval and for a third and final online voting of rephrased statements. Results This guideline contains 38 evidence based consensus statements on the management of diverticular disease. Conclusion This international, multidisciplinary guideline provides an up to date summary of the current knowledge of the management of diverticular disease as a guidance for clinicians and patients.

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Section: What Are the Risk Factors For Diverticulosis Diverticulitismentioning

confidence: 99%

European Society of Coloproctology: guidelines for the management of diverticular disease of the colon

Schultz

Azhar

Binda³

et al. 2020

Colorectal Disease

168

177

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“…Formulas TPR = TP /( TP + FN ) and FPR = FP /( FP + TN ) are used to calculate the corresponding TPR and FPR values of the confusion matrix to obtain a co-ordinate pair (dot pair). The dot pairs make up the receiver operating characteristic (ROC) curve [ 37 ]. The AUC is the total area under the ROC.…”

Section: Results and Analysismentioning

confidence: 99%

An improved advertising CTR prediction approach based on the fuzzy deep neural network

Jiang

Gao

2018

PLoS ONE

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Combining a deep neural network with fuzzy theory, this paper proposes an advertising click-through rate (CTR) prediction approach based on a fuzzy deep neural network (FDNN). In this approach, fuzzy Gaussian-Bernoulli restricted Boltzmann machine (FGBRBM) is first applied to input raw data from advertising datasets. Next, fuzzy restricted Boltzmann machine (FRBM) is used to construct the fuzzy deep belief network (FDBN) with the unsupervised method layer by layer. Finally, fuzzy logistic regression (FLR) is utilized for modeling the CTR. The experimental results show that the proposed FDNN model outperforms several baseline models in terms of both data representation capability and robustness in advertising click log datasets with noise.

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“…[52, 53] Modifying primary care management has potential to reduce hospital presentations, recurrence, antibiotic use (important with concerns about increasing antibiotic resistance)[18]. Easier access to diagnostic tools (including CT scan and quick point-of-care CRP testing) within primary care to exclude either complicated DDI or acute DDI as a diagnosis,[54] and developing and applying better prognostic rules[55] have potential in this regard. Results of recent studies in secondary care have led to guidelines increasingly avoiding antibiotics for uncomplicated DDI.…”

Section: Discussionmentioning

confidence: 99%

Diverticular disease management in primary care: How do estimates from community-dispensed antibiotics inform provision of care?

Broad

et al. 2019

PLoS ONE

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Background The literature regarding diverticular disease of the intestines (DDI) almost entirely concerns hospital-based care; DDI managed in primary care settings is rarely addressed. Aim To estimate how often DDI is managed in primary care, using antibiotics dispensing data. Design and setting Hospitalisation records of New Zealand residents aged 30+ years during 2007–2016 were individually linked to databases of community-dispensed oral antibiotics. Method Patients with an index hospital admission 2007–2016 including a DDI diagnosis (ICD-10-AM = K57) were grouped by acute/non-acute hospitalisation. We compared use of guideline-recommended oral antibiotics for the period 2007–2016 for these people with ten individually-matched non-DDI residents, taking the case’s index date. Multivariable negative binomial models were used to estimate rates of antibiotic use. Results From almost 3.5 million eligible residents, data were extracted for 51,059 index cases (20,880 acute, 30,179 non-acute) and 510,581 matched controls; mean follow-up = 8.9 years. Dispensing rates rose gradually over time among controls, from 47 per 100 person-years (/100py) prior to the index date, to 60/100py after 3 months. In comparison, dispensing was significantly higher for those with DDI: for those with acute DDI, rates were 84/100py prior to the index date, 325/100py near the index date, and 141/100py after 3 months, while for those with non-acute DDI 75/100py, 108/100py and 99/100py respectively. Following an acute DDI admission, community-dispensed antibiotics were dispensed at more than twice the rate of their non-DDI counterparts for years, and were elevated even before the index DDI hospitalisation. Conclusion DDI patients experience high use of antibiotics. Evidence is needed that covers primary-care and informs self-management of recurrent, chronic or persistent DDI.

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Clinical diagnostic accuracy of acute colonic diverticulitis in patients admitted with acute abdominal pain, a receiver operating characteristic curve analysis

Cited by 16 publications

References 38 publications

European Society of Coloproctology: guidelines for the management of diverticular disease of the colon

European Society of Coloproctology: guidelines for the management of diverticular disease of the colon

An improved advertising CTR prediction approach based on the fuzzy deep neural network

Diverticular disease management in primary care: How do estimates from community-dispensed antibiotics inform provision of care?

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