scholarly journals Value Analysis of Using Urinary Microalbumin in Artificial Intelligence Medical Institutions to Detect Early Renal Damage in Diabetes

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Sitong Lin ◽  
Yushan Guo

As the scale and depth of artificial intelligence network models continue to increase, their accuracy in albumin recognition tasks has increased rapidly. However, today’s small medical datasets are the main reason for the poor recognition of artificial intelligence techniques in this area. The sample size in this article is based on the data analysis and research on urine albumin detection of diabetes in the EI database. It is assumed that the observation group has at least 20 mg UAER difference from the control group, and the standard deviation of the UAER change from baseline to 12 weeks is 30 mg. Therefore, the sample size of the two groups is 77 cases. Assuming that the rate of loss to follow-up during the follow-up period is 20%, at least 92 patients are needed. The final enrollment in this study is 100 patients. Studies have shown that DR is used as an indicator to diagnose NDRD, and its OR value is as high as 28.198, indicating that non-DR can be used as an indicator to distinguish DN from NDRD. The meta-analysis found that DR has a sensitivity of 0.65 and a specificity of 0.75 in distinguishing DN from NDRD in patients with type 2 diabetes, and it is emphasized that PDR is highly specific in the diagnosis of DN. Using a meta-analysis to systematically analyze 45 studies, it was found that the sensitivity of DR to diagnose DN was 0.67, the specificity was 0.78, and the specificity of PDR to predict DN was 0.99, indicating that DR is a good indicator for predicting DN, and the team’s latest research has also verified this point of view. They have established a new model for diagnosing DN. In addition to including traditional proteinuria, glycosylated hemoglobin, FR, blood pressure, and other indicators into the diagnostic model, it will also include the presence or absence of DR. The final external verification accuracy rate of this model is 0.875.

2021 ◽  
Author(s):  
Rajesh Kumar ◽  
Ravi Kant ◽  
Poonam Yadav ◽  
Tamar Rodney ◽  
Mukesh Bairwa

Abstract BackgroundThe burden of tobacco-associated disorders is prevalent worldwide. Over the years, many innovative internet-based approaches have been utilized with variable success to quit tobacco. Though the effectiveness of internet-based and face-to-face interventions on quitting smoking are very well reported in the literature, due to limitation in methodology and limited sample size, it is required to integrate and analyze these studies' findings to reach a single conclusion. The study evaluated the effectiveness of the internet as an intervention approach versus face-to-face interaction on reducing tobacco use as control among adults.MethodsA systematic search was performed through various electronic databases such as Medline, PsychInfo, PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), ResearchGate, Google Scholar, and Academia. Reference lists of the eligible articles were also screened. Full-text articles were included as per eligibility criteria (PICO framework). No ethnicity restriction was applied.ResultsA total of 13 studies were selected for meta-analysis, with 3852 and 3908 participants in intervention and control groups respectively. Forest plot favours the intervention group at one month follow up for tobacco quitting (OR: 2.37, CI: 1.86-3.02, P-0.00001, I2 =0%), at three months (OR: 1.88, CI: 1.48-2.40, P-0.00001, I2 =42%) at six months (OR: 2.02, CI: 1.64-2.50, P-0.00001, I2 =38%) and at 1 year of follow-up (OR: 1.43, CI: 1.18-1.74, P-0.00001, I2 = 36%) comparing to control group. ConclusionInternet and web-based interventions are highly useful in tobacco quitting at one month, three months, six months, and one year of follow-up compared to face-to-face interaction or no intervention, although the level of evidence was moderate. Additionally, limited availability of trials in developing countries, arising need for research of internet use in developing countries to quit tobacco. Prospero Registration number- PROSPERO 2020 CRD42020214306


2021 ◽  
Author(s):  
Vinicius Mallmann Schneider ◽  
Paula de Azevedo Frank ◽  
Sandra C. Fuchs ◽  
Rodrigo Ferrari

Background Combined resistance and aerobic training (CT) is the most suitable form of exercise training to simultaneously improve cardiometabolic profile and functional capacity in middle-aged and older adults. Recreational sports (RS) emerge as an alternative to traditional exercises to improve these outcomes that could be used as a retention and continuity strategy, promoting health benefits associated with pleasure and satisfaction during the physical activity. Objectives The aim was to conduct a meta-analysis on the effects of RS and CT on systolic blood pressure (SBP), diastolic blood pressure (DBP) and glycosylated hemoglobin (HbA1c) in middle-aged and older adults and to compare these exercise interventions to a non-exercising control group (CON). Data Sources A literature search was conducted using the databases at PubMed, COCHRANE and SciELO between July and August 2020. Study Eligibility Criteria Studies that included men and women aged 45 years, healthy or with values of baseline for SBP 130mmHg or DBP 80 mmHg or with type II diabetes, in which the participants performed RS or CT versus CON, and evaluated SBP, DBP and HbA1c. Study Appraisal and Synthesis Methods Two independent reviewers screened search results, performed data extraction, and assessed of methodological quality of studies. Random effects modeling was used to compare pre to postintervention changes in BP and HbA1c from RS and CT versus CON, and the effect size were calculated through the weighted mean difference (MD) with a 95% confidence interval (CI). Conclusions RS and CT are effective exercise interventions to improve blood pressure in middle-aged and older adults. Additionally, CT seems to be an excellent strategy to reduce HbA1c, and future studies are necessary to confirm the effectiveness of recreational sports to improve HbA1c.


Medicina ◽  
2019 ◽  
Vol 55 (12) ◽  
pp. 769 ◽  
Author(s):  
Tasnim Hamdan-Nassar ◽  
Carlos Bellot-Arcís ◽  
Vanessa Paredes-Gallardo ◽  
Verónica García-Sanz ◽  
Agustín Pascual-Moscardó ◽  
...  

Background and Objectives: The aim of this systematic review was to examine the effect of 2% chlorhexidine following acid etching on the microtensile bond strength of resin restorations for different follow-up times. Materials and Methods: A thorough search of PubMed, Scopus, and Embase databases were conducted. In vitro experimental studies or in vivo studies published up to December 2018 with an experimental group treated with a 2% chlorhexidine solution following acid etching and a control group were included, wherein the final restoration used a resin composite in both the groups. Results: Twenty-one articles were identified for qualitative analysis and 18 for meta-analysis. The difference in the means of microtensile bond strength between the two groups was calculated for the different follow-up times. The differences were significant for 6 months (4.30 MPa; 95% CI 2.72–5.89), 12 months (8.41 MPa; 95% CI 4.93–11.88), and 2–5 years including aged and thermocycling samples (9.08 MPa; 95% CI 5.36–12.81). There were no significant differences for the type of adhesive used. A meta-regression model showed a significant effect of time on the microtensile bond strength. Conclusions: The application of a 2% chlorhexidine solution after acid etching increased the microtensile bond strength significantly for follow-up times of 6 months or more. The adhesive type had no influence.


2009 ◽  
Vol 44 (6) ◽  
pp. 663-665 ◽  
Author(s):  
Tamara C. Valovich McLeod

Abstract Reference/Citation: Broglio SP, Puetz TW. The effect of sport concussion on neurocognitive function, self-report symptoms, and postural control: a meta-analysis. Sports Med. 2008;38(1):53–67. Clinical Question: How effective are various concussion assessment techniques in detecting the effects of concussion on cognition, balance, and symptoms in athletes? Data Sources: Studies published between January 1970 and June 2006 were identified from the PubMed and PsycINFO databases. Search terms included concussion, mild traumatic brain injury, sport, athlete, football, soccer, hockey, boxing, cognition, cognitive impairment, symptoms, balance, and postural control. The authors also handsearched the reference list of retrieved articles and sought the opinions of experts in the field for additional studies. Study Selection: Studies were included if they were published in English; described a sample of athletes concussed during athletic participation; reported outcome measures of neurocognitive function, postural stability, or self-report symptoms; compared the postconcussion assessments with preseason (healthy) baseline scores or a control group; completed at least 1 postinjury assessment within the first 14 days after the concussion (to reflect neurometabolic recovery); and provided enough information for the authors to calculate effect sizes (means and SDs at baseline and postinjury time points). Selected studies were grouped according to their outcome measure (neurocognitive function, symptoms, or postural control) at initial and follow-up (if applicable) time points. Excluded articles included review articles, abstracts, case studies, editorials, articles without baseline data, and articles with data extending beyond the 14-day postinjury time frame. Data Extraction: From each study, the following information was extracted by one author and checked by the second author: participant demographics (sport, injury severity, incidence of loss of consciousness, and postconcussion assessment times), sample sizes, and baseline and postconcussion means and SDs for all groups. All effect sizes (the Hedge g) were computed so that decreases in neurocognitive function and postural control or increases in symptom reports resulted in negative effect sizes, demonstrating deficits in these domains after concussion. The authors also extracted the following moderators: study design (with or without control group), type of neurocognitive technique (Standardized Assessment of Concussion, computerized test, or pencil-and-paper test), postconcussion assessment time, and number of postconcussion assessments. Main Results: The search identified 3364 possible abstracts, which were then screened by the authors, with 89 articles being further reviewed for relevancy. Fifty articles were excluded because of insufficient data to calculate effect sizes, lack of a baseline assessment or control group, or because the data had been published in more than one study. The remaining 39 studies met all of the inclusion criteria and were used in the meta-analysis; 34 reported neurocognitive outcome measures, 14 provided self-report symptom outcomes, and 6 presented postural control as the dependent variable. The analyzed studies included 4145 total participants (concussed and control) with a mean age of 19.0 ± 0.4 years. The quality of each included study was also evaluated by each of the 2 authors independently using a previously published 15-item scale; the results demonstrated excellent agreement between the raters (intraclass correlation coefficient  =  0.91, 95% confidence interval [CI]  =  0.83, 0.95). The quality appraisal addressed randomization, sample selection, outcome measures, and statistical analysis, among other methodologic considerations. Quality scores of the included studies ranged from 5.25 to 9.00 (scored from 0–15). The initial assessment demonstrated a deficit in neurocognitive function (Z  =  7.73, P < .001, g  =  −0.81 [95% CI  =  −1.01, −0.60]), increase in self-report symptoms (Z  =  2.13, P  =  .03, g  =  −3.31 [95% CI  =  −6.35, −0.27]), and a nonsignificant decrease in postural control (Z  =  1.29, P  =  .19, g  =  −2.56 [95% CI  =  −6.44, 1.32]). For the follow-up assessment analyses, a decrease in cognitive function (Z  =  2.59, P  =  .001, g  =  −26 [95% CI  =  −0.46, −0.06]), an increase in self-report symptoms (Z  =  2.17, P  =  .03, g  =  −1.09 [95% CI  =  −2.07, −0.11]), and a nonsignificant decrease in postural control (Z  =  1.59, P  =  0.11, g  =  −1.16 [95% CI  =  −2.59, 0.27]) were found. Neurocognitive and symptom outcomes variables were reported in 10 studies, and the authors were able to compare changes from baseline in these measures during the initial assessment time point. A difference in effect sizes was noted (QB(1)  =  5.28, P  =  .02), with the increases in self-report symptoms being greater than the associated deficits in neurocognitive function. Conclusions: Sport-related concussion had a large negative effect on cognitive function during the initial assessment and a small negative effect during the first 14 days postinjury. The largest neurocognitive effects were found with the Standardized Assessment of Concussion during the immediate assessment and with pencil-and-paper neurocognitive tests at the follow-up assessment. Large negative effects were noted at both assessment points for postural control measures. Self-report symptoms demonstrated the greatest changes of all outcomes variables, with large negative effects noted both immediately after concussion and during the follow-up assessment. These findings reiterate the recommendations made to include neurocognitive measures, postural control tests, and symptom reports into a multifaceted concussion battery to best assess these injuries.


2020 ◽  
Vol 21 (2) ◽  
pp. 147032032091958
Author(s):  
Weidong Wang ◽  
Wei Qu ◽  
Dan Sun ◽  
Xiaodan Liu

Background: The purpose of this study was to systematically evaluate the effect of renin–angiotensin–aldosterone system blockers on the incidence of contrast-induced nephropathy in patients undergoing coronary angiography or percutaneous coronary intervention. Methods: A systematic literature search of several databases was conducted to identify studies that met the inclusion criteria. A total of 12 studies with 14 trials that performed studies on a total of 4864 patients (2484 treated with renin–angiotensin–aldosterone system blockers and 2380 in the control group) were included. The primary endpoint was the overall incidence of contrast-induced nephropathy. Analyses were performed with STATA version 12.0. Results: The overall contrast-induced nephropathy incidence in renin–angiotensin–aldosterone system blocker and control groups was 10.43% and 6.81%, respectively. The pooled relative risk of contrast-induced nephropathy incidence was 1.22 (95% confidence interval: 0.81–1.84) in the renin–angiotensin–aldosterone system blocker group. An increased risk of developing contrast-induced nephropathy in the renin–angiotensin–aldosterone system blocker group was observed among older people, non-Asians, chronic users, and studies with larger sample size, and the pooled RRs and 95% confidence intervals were 2.02 (1.21–3.36), 2.30 (1.41–3.76), 1.69 (1.10–2.59) and 1.83 (1.28–2.63), respectively. Conclusions: Intervention with renin–angiotensin–aldosterone system blockers was associated with an increased risk of contrast-induced nephropathy among non-Asians, chronic users, older people, and studies with larger sample size. Large clinical trials with strict inclusion criteria are needed to confirm our results and to evaluate the effect further.


2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Fushui Liu ◽  
Jianyu You ◽  
Qi Li ◽  
Ting Fang ◽  
Mei Chen ◽  
...  

Objectives. Acupuncture has been widely used to relieve chronic pain-related insomnia (CPRI). However, the efficacy of acupuncture for CPRI is uncertain. The purpose of this study was to evaluate the efficacy of acupuncture for CPRI. Methods. Seven electronic databases were searched from inception to December 2018. Randomized controlled trials (RCTs) were included if acupuncture was compared to sham acupuncture or conventional drug therapies for treating CPRI. Two reviewers screened each study and extracted data independently. Statistical analyses were conducted by RevMan 5.3 software. Results. A total of nine studies involving 944 patients were enrolled. The pooled analysis indicated that acupuncture treatment was significantly better than control group in improving effective rate (OR = 8.09, 95%CI = [4.75, 13.79], P < 0.00001) and cure rate (OR = 3.17, 95%CI = [2.35, 4.29], P < 0.00001), but subgroup analysis showed that there was no statistically significant difference between acupuncture and sham acupuncture in improving cure rate (OR =10.36, 95% CI [0.53, 201.45], P=0.12) based on one included study. In addition, meta-analysis demonstrated that acupuncture group was superior to control group in debasing PSQI score (MD = -2.65, 95%CI = [-4.00, -1.30], P = 0.0001) and VAS score (MD = -1.44, 95%CI = [-1.58, -1.29], P < 0.00001). And there was no significant difference in adverse events (OR =1.73, 95%CI = [0.92, 3.25], P =0.09) between the two groups. Conclusions. Acupuncture therapy is an effective and safe treatment for CPRI, and this treatment can be recommended for the management of patients with CPRI. Due to the low quality and small sample size of the included studies, more rigorously designed RCTs with high quality and large sample size are recommended in future.


1990 ◽  
Vol 16 (4) ◽  
pp. 291-295 ◽  
Author(s):  
Angela L. Estey ◽  
Meng H. Tan ◽  
Karen Mann

This study tested the hypothesis that follow-up intervention (by telephone calls and home visit) affects compliance in patients with non-insulin-dependent diabetes mellitus (NIDDM). Sixty NIDDM patients were randomly assigned to two groups—a control group, which received the standard protocol (3-day educational program and a review session 1 month after the program); and an intervention group, which received the standard protocol as well as a series offour telephone calls and one home visit by a registered nurse over a 3-month period. Compliance to prescribed regimens was determined by analyzing three sets of data: changes in pre- to poststudy glycosylated hemoglobin (HbA1c) values; changes in pre- to poststudy weight; and frequency with which self-monitoring of blood glucose (SMBG) was practiced. Results showed that SMBG practice was significantly better for the intervention group. No significant differences were seen in poststudy HbA 1c values and weight changes between the two groups. Follow-up inter vention by telephone calls and home visit can enhance patient compliance to certain aspects of the prescribed diabetes management plan.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 4899-4899
Author(s):  
William F. Clark ◽  
A. Keith Stewart ◽  
Gail A. Rock ◽  
Marion Sternbach ◽  
David M. Sutton ◽  
...  

Abstract In myeloma, plasma exchange (PE) has been suggested to prevent rapidly progressive kidney failure by reducing exposure to nephrotoxic light chains. We carried out a randomized controlled multi-centre trial comparing PE or no PE in 104 patients of whom 101 met the inclusion, exclusion criteria and 4 were lost to follow-up. We compared baseline characteristics as well as renal outcomes and performed a futility analysis to determine the sample size necessary for potential statistical significance for the changes noted. Thirty-nine patients were randomized to the control group and 58 to the PE group with a 6-month follow-up. The baseline characteristics of these 2 groups were similar including serum creatinine, dialysis dependence, age, gender, serum calcium, serum albumin, 24 -hour urine for protein levels and Durie-Salmon myeloma staging. Thirteen (33.3%) of the control group and 19 (33.3%) of the PE group died within 6 months of follow up. Ten patients (31%) in the control and 10 patients (21%) in the PE arm were dialysis dependent at 6 months. Seven patients (47%) came off dialysis in the control and 13 patients (59%) in the PE arm with the mean number of dialysis days from 0–6 months being 45.7±67.6 in the control versus 29.2±56.1 in the PE arm at 6 months. The mean serum creatinine in the control group was 314.6±256.1 μmol/L versus 215.4±215.3 μmol/L in the PE group and the composite end point of death, dialysis or serum creatinine >254 μmol/L occurred in 12 (30.8%) in the control and 11 (19.3%) in the PE arm. The futility analysis to indicate the per group sample size necessary to achieve statistical significance at 6 months for the difference we observed was infinite for cumulative mortality, 805 for dialysis dependence, 2418 for coming off dialysis, 321 for number of dialysis days, 132 for creatinine difference of 100 μmol/L and for the composite outcome of death, dialysis or creatinine>354 μmol/L, 737. We did not observe a statistically significant difference in mortality or renal morbidity for PE versus no PE in patients with myeloma and rapidly progressive kidney failure.


Lupus ◽  
2017 ◽  
Vol 27 (3) ◽  
pp. 428-435 ◽  
Author(s):  
Y H Lee ◽  
G G Song

Objective We aimed to evaluate the relationship between circulating leptin levels and systemic lupus erythematosus (SLE). Methods MEDLINE, EMBASE, and Cochrane library databases were searched. Meta-analyses were performed comparing serum/plasma leptin levels in patients with SLE and healthy controls, and on patients with SLE in subgroups based on ethnicity, sample size, data type, and matched variables (age, sex, and/or body mass index (BMI)). Results Eighteen studies including 1333 patients with SLE and 1048 controls were ultimately selected, which showed that leptin levels were significantly higher in the SLE group than in the control group (SMD = 0.611, 95% CI = 0.275–0.947, p < 0.001). When we excluded two outlier studies because of high heterogeneity, leptin levels were also significantly higher in the SLE group than in the control group (SMD = 0.619, 95% CI = 0.431–0.807, p < 0.001). Stratification by ethnicity showed significantly elevated leptin levels in the SLE group in European, Asian, Arab, Latin American, and mixed populations. Subgroup analysis by sample size showed significantly higher leptin levels in the SLE group by small ( n ≤ 100) and large sample numbers ( n > 100) (SMD = 0.780, 95% CI = 0.445–1.115, p < 0.001; SMD = 0.495, 95% CI = 0.275–0.715, p < 0.001). Stratification by data type revealed significantly higher leptin levels in the original data and imputed data groups. Subgroup analysis adjustment revealed significantly higher leptin levels in the SLE group, regardless of adjustment for variables. Conclusions Our meta-analysis demonstrated that leptin levels were significantly higher in patients with SLE, regardless of ethnicity, sample size, data type, and matched variables.


10.2196/26718 ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. e26718
Author(s):  
Louis Dron ◽  
Alison Dillman ◽  
Michael J Zoratti ◽  
Jonas Haggstrom ◽  
Edward J Mills ◽  
...  

This paper aims to provide a perspective on data sharing practices in the context of the COVID-19 pandemic. The scientific community has made several important inroads in the fight against COVID-19, and there are over 2500 clinical trials registered globally. Within the context of the rapidly changing pandemic, we are seeing a large number of trials conducted without results being made available. It is likely that a plethora of trials have stopped early, not for statistical reasons but due to lack of feasibility. Trials stopped early for feasibility are, by definition, statistically underpowered and thereby prone to inconclusive findings. Statistical power is not necessarily linear with the total sample size, and even small reductions in patient numbers or events can have a substantial impact on the research outcomes. Given the profusion of clinical trials investigating identical or similar treatments across different geographical and clinical contexts, one must also consider that the likelihood of a substantial number of false-positive and false-negative trials, emerging with the increasing overall number of trials, adds to public perceptions of uncertainty. This issue is complicated further by the evolving nature of the pandemic, wherein baseline assumptions on control group risk factors used to develop sample size calculations are far more challenging than those in the case of well-documented diseases. The standard answer to these challenges during nonpandemic settings is to assess each trial for statistical power and risk-of-bias and then pool the reported aggregated results using meta-analytic approaches. This solution simply will not suffice for COVID-19. Even with random-effects meta-analysis models, it will be difficult to adjust for the heterogeneity of different trials with aggregated reported data alone, especially given the absence of common data standards and outcome measures. To date, several groups have proposed structures and partnerships for data sharing. As COVID-19 has forced reconsideration of policies, processes, and interests, this is the time to advance scientific cooperation and shift the clinical research enterprise toward a data-sharing culture to maximize our response in the service of public health.


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