Miner for OACCR: Case of medical data analysis in knowledge discovery

Ali, Samaher Hussein

doi:10.1109/setit.2012.6482043

Cited by 47 publications

(10 citation statements)

References 11 publications

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“…If more than one report were same in the patients groups, the article with the most sufficient data was included. Studies eliminating samples with missing values were acceptable when large datasets are available and missing values occur only in a small percentage of samples [12,13].…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

RETRACTED ARTICLE: Meta-analysis of contrast-enhanced ultrasound and contrast-enhanced harmonic endoscopic ultrasound for the diagnosis of gallbladder malignancy

Xiaoming

Jing

2020

BMC Med Inform Decis Mak

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Background The diagnosis between benign and malignant gallbladder lesions is sometimes difficult. The objective of this study is to assess whether contrast-enhanced ultrasound (CEUS) and contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) can be an accurate method for detecting gallbladder malignancy and to determine which imaging signs can be indicative of malignancy. Methods A study search of PubMed, Elsevier, and Sciencedirect was performed in May 2019. The pooled sensitivity, specificity, diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC) curve were used to examine the accuracy of CEUS and CH-EUS. Results Twenty-one studies were included in the meta-analysis. The pooled sensitivities of CEUS and CH-EUS were 0.81 (0.75–0.86) and 0.92 (0.86–0.95); the specificities were 0.94 (0.90–0.96) and 0.89 (0.69–0. 97); the DORs were 64 (32–127) and 89 (22–354); and the area under the SROC curves were 0.90 (0.87–0.92) and 0.92 (0.90–0.94). On CEUS, the diagnostic criterion for gallbladder malignancy according to four features were analyzed. Sensitivity and specificity were 0.75 (0.65–0.83) and 0.98 (0.85–1.00) for integrity of gallbladder wall; 0.69 (0.55–0.81) and 0.89 (0.77–0.95) for heterogeneous enhancement; 0.81 (0.71–0.88) and 0.88 (0.76–0.94) for irregular vessels; and 0.81 (0.66–0.91) and 0.75 (0.59–0.86) for washout time within 28 s. On CH-EUS, heterogeneous enhancement could be indicative of malignant lesions with a sensitivity of 0.94 (0.85–0.97); and the specificity was 0.92 (0.71–0.98). Conclusions CEUS and CH-EUS are promising and reliable imaging modalities with a high sensitivity and specificity for the diagnosis of gallbladder malignancy. CH-EUS might be more sensitive than CEUS with a higher sensitivity. In addition, irregular tralesional vessels and washout time within 28 s on CEUS and heterogeneous enhancement on CH-EUS are indicative of malignancy. However, larger scale and well-designed studies are warranted to verify our results.

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Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

RETRACTED ARTICLE: Meta-analysis of contrast-enhanced ultrasound and contrast-enhanced harmonic endoscopic ultrasound for the diagnosis of gallbladder malignancy

Xiaoming

Jing

2020

BMC Med Inform Decis Mak

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“…Nowadays, computing methods such as intelligent data analysis [26,27], data mining [28,29], and machine learning [30] have been increasingly used to support healthcare decision-making. Among them, simulation is becoming a powerful supplement to empirical medical researches, especially when the outcomes cannot be derived from mathematical formulae or experimental replications [31].…”

Section: Comparisons With Previous Studiesmentioning

confidence: 99%

Can statistical adjustment guided by causal inference improve the accuracy of effect estimation? A simulation and empirical research based on meta-analyses of case-control studies

Yan

Liu

Peng

et al. 2020

Preprint

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Background: Statistical adjustment is often considered to control confounding bias in observational studies, especially case-control studies. However, different adjustment strategies may affect the estimation of odds ratios (ORs), and in turn affect the results of their pooled analyses. Our study is aimed to investigate how to deal with the statistical adjustment in case-control studies to improve the validity of meta-analyses.Methods: Three types of adjustment strategies were evaluated including insufficient adjustment (not all preset confounders were adjusted), full adjustment (all confounders were adjusted under the guidance of causal inference), and improper adjustment (covariates other than confounders were adjusted). We carried out a series of Monte Carlo simulation experiments based on predesigned scenarios, and assessed the accuracy of effect estimations from meta-analyses of case-control studies by combining ORs calculated according to different adjustment strategies. Then we used the data from an empirical review to illustrate the replicability of the simulation results.Results: For all scenarios with different strength of causal relations, combining ORs adjusted for confounders as far as possible would get the most precise effect estimation, regardless of the sampling approaches of case-control studies and the scale of meta-analysis. By contrast, combining ORs that were not sufficiently adjusted for confounders or improperly adjusted for mediators or colliders would easily introduce bias in causal interpretation, especially when the true effect of exposure on outcome was weak or none. The findings of the simulation experiments were further verified by the empirical research.Conclusions: Statistical adjustment guided by causal inference are recommended for effect estimation. Therefore, when conducting meta-analyses of case-control studies, the causal relationship formulated by exposure, outcome, and covariates should be firstly understood through a directed acyclic graph, and then reasonable original ORs could be extracted and combined by suitable methods.

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“…Real-world data can also be collected in quality registries as objective outcome data, e.g. laboratory results or ndings in physical examinations (21)(22)(23)(24) There is a lack of knowledge on whether the use of knowledge bases re ects the patient outcomes data in nationwide quality registries and whether burden of care, measured in Sweden as a Care Need Index in uences the register outcomes in any way (25). The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality.…”

Section: Introductionmentioning

confidence: 99%

Use of online knowledge base in primary health care and correlation to health care quality: An observational study

Gerdesköld

Toth-Pal

Wårdh

et al. 2020

Preprint

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BackgroundEvidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality.MethodsThe study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic Care Need Index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used.ResultsFrequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>.05). Adjusting for Care Need Index had almost no effect on the outcomes for the groups.ConclusionsFrequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.

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Miner for OACCR: Case of medical data analysis in knowledge discovery

Cited by 47 publications

References 11 publications

RETRACTED ARTICLE: Meta-analysis of contrast-enhanced ultrasound and contrast-enhanced harmonic endoscopic ultrasound for the diagnosis of gallbladder malignancy

RETRACTED ARTICLE: Meta-analysis of contrast-enhanced ultrasound and contrast-enhanced harmonic endoscopic ultrasound for the diagnosis of gallbladder malignancy

Can statistical adjustment guided by causal inference improve the accuracy of effect estimation? A simulation and empirical research based on meta-analyses of case-control studies

Use of online knowledge base in primary health care and correlation to health care quality: An observational study

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