• 제목/요약/키워드: meta-regression

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국소 치료 후 잔존 간세포암의 진단을 위한 LI-RADS 치료 반응 알고리즘과 Modified RECIST 기준 간 비교: 비교 연구를 대상으로 한 체계적 문헌고찰과 메타분석 (LI-RADS Treatment Response versus Modified RECIST for Diagnosing Viable Hepatocellular Carcinoma after Locoregional Therapy: A Systematic Review and Meta-Analysis of Comparative Studies)

  • 김동환;김보현;최준일;오순남;나성은
    • 대한영상의학회지
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    • 제83권2호
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    • pp.331-343
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    • 2022
  • 목적 국소 치료 후 잔존 간세포암 진단을 위한 LI-RADS 치료 반응(liver imaging reporting and data system treatment response; 이하 LR-TR)과 modified Response Evaluation Criteria in Solid Tumors (이하 mRECIST) 기준의 진단능을 체계적으로 비교한다. 대상과 방법 MEDLINE과 EMBASE에서 역동적 조영증강 CT 또는 MRI를 이용하여 LR-TR과 mRECIST의 진단능을 개인 내 비교한 원저를 검색하였다. 생존 종양에 대한 참조 표준은 수술을 통한 병리 진단을 사용하였다. 각 기준의 생존 카테고리에 대한 메타분석적 통합 민감도와 특이도는 bivariate random-effects model을 통해 계산하였고 bivariate meta-regression을 통해 비교하였다. 결과 총 다섯 개의 포함된 연구들에서(430명 환자들 및 631개 치료된 병변들), LR-TR 생존 카테고리의 병변별 통합 민감도와 특이도는 58% (95% 신뢰구간, 45%-70%)와 93% (95% 신뢰구간, 88%-96%)이었으며 mRECIST 생존 카테고리는 56% (95% 신뢰구간, 42%-69%)와 86% (95% 신뢰구간, 72%-94%)이었다. LR-TR 생존 카테고리는 mRECIST에 비하여 유의하게 높은 특이도를 보였으나(p < 0.01) 민감도는 유사하였다(p = 0.53). 결론 LR-TR 알고리즘은 국소 치료 후 병리학적 잔존 간세포암의 진단에 대하여 민감도의 유의한 차이 없이 mRECIST보다 높은 특이도를 보였다.

Effect of Conjugated Linoleic Acid Feeding on the Growth Performance and Meat Fatty Acid Profiles in Broiler: Meta-analysis

  • Cho, Sangbuem;Ryu, Chaehwa;Yang, Jinho;Mbiriri, David Tinotenda;Choi, Chang-Weon;Chae, Jung-Il;Kim, Young-Hoon;Shim, Kwan-Seob;Kim, Young Jun;Choi, Nag-Jin
    • Asian-Australasian Journal of Animal Sciences
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    • 제26권7호
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    • pp.995-1002
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    • 2013
  • The effect of conjugated linoleic acid (CLA) feeding on growth performance and fatty acid profiles in thigh meat of broiler chicken was investigated using meta-analysis with a total of 9 studies. Overall effects were calculated by standardized mean differences between treatment (CLA fed) and control using Hedges's adjusted g from fixed and random effect models. Meta-regression was conducted to evaluate the effect of CLA levels. Subgroups in the same study were designated according to used levels of CLA, CP levels or substituted oils in diets. The effects on final body weight, weight gain, feed intake and feed conversion ratio were investigated as growth parameters. Total saturated and unsaturated fatty acid concentrations and C16:0, C18:0, C18:2 and C18:3 concentrations in thigh meat of broiler chicken were used as fatty acid profile parameters. The overall effect of CLA feeding on final weight was negative and it was only significant in fixed effect model (p<0.01). Significantly lower weight gain, feed intake and higher feed conversion ratio compared to control were found (p<0.05). CLA feeding on the overall increased total saturated fatty acid concentration in broilers compared to the control diet (p<0.01). Total unsaturated fatty acid concentration was significantly decreased by CLA feeding (p<0.01). As for individual fatty acid profiles, C16:0, C18:0 and C18:3 were increased and C18:2 was significantly decreased by CLA feeding (p<0.01). In conclusion, CLA was proved not to be beneficial for improving growth performance, whereas it might be supposed that CLA is effective modulating n-6/n-3 fatty acids ratio in thigh meat. However, the economical compensation of the loss from suppressed growth performance and increased saturated fatty acids with the benefit from enhanced n-6/n-3 ratio should be investigated in further studies in order to propose an appropriate use of dietary CLA in the broiler industry.

Breastfeeding and Ovarian Cancer Risk: a Systematic Review and Meta-analysis of 40 Epidemiological Studies

  • Li, Da-Peng;Du, Chen;Zhang, Zuo-Ming;Li, Guang-Xiao;Yu, Zhi-Fu;Wang, Xin;Li, Peng-Fei;Cheng, Cheng;Liu, Yu-Peng;Zhao, Ya-Shuang
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권12호
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    • pp.4829-4837
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    • 2014
  • The present systematic review and meta-analysis was conducted to assess any association between breastfeeding and the risk of ovarian cancer. A systematic search of published studies was performed in PUBMED and EMBASE and by reviewing reference lists from retrieved articles through March 2013. Data extraction was conducted independently by two authors. Pooled relative risk ratios were calculated using random-effect models. Totals of 5 cohort studies and 35 case-control studies including 17,139 women with ovarian cancer showed a 30% reduced risk of ovarian cancer when comparing the women who had breastfed with those who had never breastfed (pooled RR = 0.70, 95% CI: 0.64-0.76; p = 0.00), with significant heterogeneity in the studies (p = 0.00; I2 = 76.29%). A significant decreasd in risk of epithelial ovarian cancer was also observed (pooled RR = 0.68, 95% CI: 0.61-0.76). When the participants were restricted to only parous women, there was a slightly attenuated but still significant risk reduction of ovarian cancer (pooled RR = 0.76, 95% CI: 0.69-0.83). For total breastfeeding duration, the pooled RRs in the < 6 months, 6-12 months and > 12 months of breastfeeding subgroups were 0.85 (95% CI: 0.77-0.93), 0.73 (95% CI: 0.65-0.82) and 0.64 (95%CI: 0.56-0.73), respectively. Meta-regression of total breastfeeding duration indicated an increasing linear trend of risk reduction of ovarian cancer with the increasing total breastfeeding duration (p = 0.00). Breastfeeding was inversely associated with the risk of ovarian cancer, especially long-term breastfeeding duration that demonstrated a stronger protective effect.

가정과수업에서 실천적추론수업의 학생성취에 대한 효과성 연구의 메타분석 (Revisited meta-analysis of the effects of practical reasoning instruction on students' achievements in Home Economics classes)

  • 유난숙
    • 한국가정과교육학회지
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    • 제30권3호
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    • pp.151-173
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    • 2018
  • 본 연구의 목적은 가정과수업에서 실천적추론수업을 적용하여 학생성취에 대한 효과를 살펴본 선행연구들을 양적으로 메타분석함으로써 효과크기를 알아보고, 실천적추론수업의 효과가 어떤 변수에 따라 달라지는 지 분석하는 데 있다. 분석대상의 기준에 맞는 선행연구를 검색한 결과, 1999년부터 2018년까지 수행된 34개 연구가 선정되었다. Becker(1988)가 제안한 방법을 이용하여 사례수를 고려한 표준화된 평균변화로부터 효과크기를 계산한 결과, 34개 분석대상 연구로부터 44개의 효과크기가 산출되었다. 분석에 앞서 출판여부에 따른 오류를 깔대기 기법을 이용하여 평가한 결과, 오류는 없었으며 연구결과는 다음과 같다. 첫째, 동질성검증 결과, 랜덤 효과 모형을 적용하였으며 실천적추론수업은 전통적 수업에 비해 학생성취에 통계적으로 의미있게 효과적인 것으로 나타났다(효과크기=0.60, SE=.074). 둘째, 조절변인을 찾기 위해 범주형 변수 및 연속형 변수 자료분석을 실행한 결과, 실천적추론수업의 효과성에 대한 선행연구들이 다룬 내용 영역과 학교소재지에 따라 효과크기가 다른 것으로 나타났다. 반면, 출판여부, 연구설계 방법, 분석대상 연도, 학교급, 연구대상자들의 성별, 학생성취의 종류, 수업시수 등에 따라서는 효과크기가 다르지 않았다.

Estrogen Receptor Alpha Gene Polymorphisms and Breast Cancer Risk: a Case-control Study with Meta-analysis Combined

  • Lu, Hong;Chen, Dong;Hu, Li-Ping;Zhou, Lian-Lian;Xu, Hui-Ying;Bai, Yong-Heng;Lin, Xiang-Yang
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권11호
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    • pp.6743-6749
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    • 2013
  • Molecular epidemiological studies have shown that gene polymorphisms of estrogen receptor alpha gene (ESR-${\alpha}$) are associated with breast cancer risk. However, previous results from many molecular studies have been inconsistent. In this study, we examined two polymorphisms (PvuII and XbaI RFLPs) of the ESR-${\alpha}$ gene in 542 breast cancer cases and 1,016 controls from China. Associations between the polymorphisms and breast cancer risk were calculated with an unconditional logistic regression model. Linkage disequilibrium and haplotypes were analyzed with the SHEsis software. In addition, we also performed a systematic meta-analysis of 24 published studies evaluating the association. No significant associations were found between the PvuII polymorphism and breast cancer risk. However, a significantly decreased risk of breast cancer was observed among carriers of the XbaI 'G' allele (age-adjusted OR = 0.80; 95% CI = 0.66- 0.97) compared with carriers of the 'A' allele. Haplotype analysis showed significantly decreased cancer risk for carriers of the 'CG' haplotype (OR = 0.79; 95% CI = 0.66- 0.96). In the systematic meta-analysis, the XbaI 'G' allele was associated with an overall significantly decreased risk of breast cancer (OR = 0.90, 95% CI = 0.82- 1.00). In addition, the PvuII 'C' allele showed a 0.96- fold decreased disease risk (95% CI = 0.92- 0.99). In subgroup analysis, an association between the PvuII 'C' and XbaI 'G' alleles and breast cancer risk was significant in Asians ('C' vs. 'T': OR = 0.93, 95% CI = 0.85- 1.00; 'G' vs. 'A': OR = 0.82, 95% CI = 0.68- 0.98), but not in Euro-Americans. Thus, our results provide evidence that ESR-${\alpha}$ polymorphisms are associated with susceptibility to breast cancer. These associations may largely depend on population characteristics and geographic location.

Tissue Adequacy and Safety of Percutaneous Transthoracic Needle Biopsy for Molecular Analysis in Non-Small Cell Lung Cancer: A Systematic Review and Meta-analysis

  • Bo Da Nam;Soon Ho Yoon;Hyunsook Hong;Jung Hwa Hwang;Jin Mo Goo;Suyeon Park
    • Korean Journal of Radiology
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    • 제22권12호
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    • pp.2082-2093
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    • 2021
  • Objective: We conducted a systematic review and meta-analysis of the tissue adequacy and complication rates of percutaneous transthoracic needle biopsy (PTNB) for molecular analysis in patients with non-small cell lung cancer (NSCLC). Materials and Methods: We performed a literature search of the OVID-MEDLINE and Embase databases to identify original studies on the tissue adequacy and complication rates of PTNB for molecular analysis in patients with NSCLC published between January 2005 and January 2020. Inverse variance and random-effects models were used to evaluate and acquire meta-analytic estimates of the outcomes. To explore heterogeneity across the studies, univariable and multivariable metaregression analyses were performed. Results: A total of 21 studies with 2232 biopsies (initial biopsy, 8 studies; rebiopsy after therapy, 13 studies) were included. The pooled rates of tissue adequacy and complications were 89.3% (95% confidence interval [CI]: 85.6%-92.6%; I2 = 0.81) and 17.3% (95% CI: 12.1%-23.1%; I2 = 0.89), respectively. These rates were 93.5% and 22.2% for the initial biopsies and 86.2% and 16.8% for the rebiopsies, respectively. Severe complications, including pneumothorax requiring chest tube placement and massive hemoptysis, occurred in 0.7% of the cases (95% CI: 0%-2.2%; I2 = 0.67). Multivariable meta-regression analysis showed that the tissue adequacy rate was not significantly lower in studies on rebiopsies (p = 0.058). The complication rate was significantly higher in studies that preferentially included older adults (p = 0.001). Conclusion: PTNB demonstrated an average tissue adequacy rate of 89.3% for molecular analysis in patients with NSCLC, with a complication rate of 17.3%. PTNB is a generally safe and effective diagnostic procedure for obtaining tissue samples for molecular analysis in NSCLC. Rebiopsy may be performed actively with an acceptable risk of complications if clinically required.

초등학생 고학년의 정서인식 명확성, 정서조절전략, 가족관계가 비자살적 자해 및 우울에 미치는 영향 (The Effect of Senior Elementary School Students' Emotional Perception Clarity, Emotion Regulation, and Family Relationship on Non-Suicidal Self-Injury and Depression)

  • 신지혜;김석선
    • 지역사회간호학회지
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    • 제32권4호
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    • pp.457-466
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    • 2021
  • Purpose: The purpose of this study was to examine the correlations among emotional perception clarity, emotion regulation, family relationship, non-suicidal self-injury, and depression, and to determine associated factors of non-suicidal self-injury and depression for senior elementary school students. Methods: Data were collected from 150 early adolescences in K region, Korea. A self-report questionnaire consisted of Trait Meta-Mood Scale, Cognitive Emotion Regulation Questionnaire, Family Relationship Assessment Scale, Functional Assessment of Self-Mutilation, and Children's Depression Inventory. The data were analyzed using t-test, Pearson's correlation coefficient, logistic regression, and multiple regression analysis. Results: Non-suicidal self-injury and depression were positively associated with maladaptive emotion regulation strategy and family conflict, but negatively related to emotional perception clarity and family support. Adaptive emotion regulation strategy and family togetherness were only significantly correlated with depression. In logistic regression analysis, significant predictors of non-suicidal self-injury were emotional perception clarity, maladaptive emotion regulation strategy, and family support. Multiple regression analysis found that significant factors of depression were adaptive and maladaptive emotion regulation strategies, which explained 38.0% of the variance. Conclusion: Our study findings suggest that targeted intervention to reinforce the adaptive emotion regulation strategy and family relationship may prevent non-suicidal self-injury, and depression for senior elementary school students.

Neuro-fuzzy optimisation to model the phenomenon of failure by punching of a slab-column connection without shear reinforcement

  • Hafidi, Mariam;Kharchi, Fattoum;Lefkir, Abdelouhab
    • Structural Engineering and Mechanics
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    • 제47권5호
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    • pp.679-700
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    • 2013
  • Two new predictive design methods are presented in this study. The first is a hybrid method, called neuro-fuzzy, based on neural networks with fuzzy learning. A total of 280 experimental datasets obtained from the literature concerning concentric punching shear tests of reinforced concrete slab-column connections without shear reinforcement were used to test the model (194 for experimentation and 86 for validation) and were endorsed by statistical validation criteria. The punching shear strength predicted by the neuro-fuzzy model was compared with those predicted by current models of punching shear, widely used in the design practice, such as ACI 318-08, SIA262 and CBA93. The neuro-fuzzy model showed high predictive accuracy of resistance to punching according to all of the relevant codes. A second, more user-friendly design method is presented based on a predictive linear regression model that supports all the geometric and material parameters involved in predicting punching shear. Despite its simplicity, this formulation showed accuracy equivalent to that of the neuro-fuzzy model.

Time-history analysis based optimal design of space trusses: the CMA evolution strategy approach using GRNN and WA

  • Kaveh, A.;Fahimi-Farzam, M.;Kalateh-Ahani, M.
    • Structural Engineering and Mechanics
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    • 제44권3호
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    • pp.379-403
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    • 2012
  • In recent years, the need for optimal design of structures under time-history loading aroused great attention in researchers. The main problem in this field is the extremely high computational demand of time-history analyses, which may convert the solution algorithm to an illogical one. In this paper, a new framework is developed to solve the size optimization problem of steel truss structures subjected to ground motions. In order to solve this problem, the covariance matrix adaptation evolution strategy algorithm is employed for the optimization procedure, while a generalized regression neural network is utilized as a meta-model for fitness approximation. Moreover, the computational cost of time-history analysis is decreased through a wavelet analysis. Capability and efficiency of the proposed framework is investigated via two design examples, comprising of a tower truss and a footbridge truss.

딥러닝 모델 구조에 따른 모르타르의 단위수량 평가에 대한 비교 실험 연구 (Comparative Experimental Study on the Evaluation of the Unit-water Content of Mortar According to the Structure of the Deep Learning Model)

  • 조양제;유승환;양현민;윤종완;박태준;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 가을 학술논문 발표대회
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    • pp.8-9
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    • 2021
  • The unit-water content of concrete is one of the important factors in determining the quality of concrete and is directly related to the durability of the construction structure, and the current method of measuring the unit-water content of concrete is applied by the Air Meta Act and the Electrostatic Capacity Act. However, there are complex and time-consuming problems with measurement methods. Therefore, high frequency moisture sensor was used for quick and high measurement, and unit-water content of mortar was evaluated through machine running and deep running based on measurement big data. The multi-input deep learning model is as accurate as 24.25% higher than the OLS linear regression model, which shows that deep learning can more effectively identify the nonlinear relationship between high-frequency moisture sensor data and unit quantity than linear regression.

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