Synthesizing external aggregated information in the penalized Cox regression under population heterogeneity

2021 ◽  
Author(s):  
Ying Sheng ◽  
Yifei Sun ◽  
Chiung‐Yu Huang ◽  
Mi‐Ok Kim
Keyword(s):  
Cox Regression ◽  
Population Heterogeneity

scholarly journals The effect of β-carotene on the mortality of male smokers is modified by smoking and by vitamins C and E: evidence against a uniform effect of nutrient

2020 ◽  
Vol 9 ◽  
Author(s):  
Harri Hemilä
Keyword(s):  
Cox Regression ◽  
Vegetable Intake ◽  
Beta Carotene ◽  
Population Heterogeneity ◽  
Alpha Tocopherol ◽  
Dietary Vitamin ◽  
Study Population ◽  
Meta Analyses ◽  
Atbc Study ◽  
Β Carotene

Abstract A previous analysis of the Alpha-Tocopherol Beta-Carotene (ATBC) Study on male smokers found that β-carotene supplementation increased the risk of pneumonia 4-fold in those who started smoking at the age of ≥21 years and smoked ≥21 cigarettes/d (a subgroup of 7 % of the study population). The present study hypothesised that β-carotene increases mortality in the same subgroup. The ATBC Study (1985–1993) recruited 29 133 Finnish male smokers (≥5 cigarettes/d) aged 50–69 years. Cox regression models were constructed to estimate the effect of β-carotene supplementation in subgroups. β-Carotene increased mortality (risk ratio 1·56; 95 % CI 1·06, 2·3) in those who started to smoke at ≥21 years and smoked ≥21 cigarettes/d. Within this subgroup, there was strong evidence of further heterogeneity. The effect of β-carotene supplementation was further modified by dietary vitamin C intake, fruit and vegetable intake (P = 0·0004), and by vitamin E supplementation (P = 0·011). Thus, harm from β-carotene was not uniform within the study population. Interactions between β-carotene and vitamins C and E were seen only within a subgroup of 7 % of the ATBC participants, and therefore should not be extrapolated to the general population. Heterogeneity of the β-carotene effect on mortality challenges the validity of previous meta-analyses that have pooled many diverse antioxidants for one single estimate of effect using the assumption that a single estimate equally applies to all antioxidants and all people. Trial registration: ClinicalTrials.gov NCT00342992.

Predictive Model for Live Birth at 12 Months After Starting In-Vitro Fertilization Treatment

MedPharmRes ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 5-20
Author(s):  
Vu Ho ◽  
Toan Pham ◽  
Tuong Ho ◽  
Lan Vuong
Keyword(s):  
In Vitro Fertilization ◽  
Live Birth ◽  
Cox Regression ◽  
Financial Burden ◽  
Oocyte Retrieval ◽  
Operating Characteristics ◽  
Vitro Fertilization ◽  
Cox Regression Analysis ◽  
Significant Difference

IVF carries a considerable physical, emotional and financial burden. Therefore, it would be useful to be able to predict the likelihood of success for each couple. The aim of this retrospective cohort study was to develop a prediction model to estimate the probability of a live birth at 12 months after one completed IVF cycle (all fresh and frozen embryo transfers from the same oocyte retrieval). We analyzed data collected from 2600 women undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) at a single center in Vietnam between April 2014 and December 2015. All patients received gonadotropin-releasing hormone (GnRH) antagonist stimulation, followed by fresh and/or frozen embryo transfer (FET) on Day 3. Using Cox regression analysis, five predictive factors were identified: female age, total dose of recombinant follicle stimulating hormone used, type of trigger, fresh or FET during the first transfer, and number of subsequent FET after the first transfer. The area under the receiver operating characteristics curve for the final model was 0.63 (95% confidence interval [CI] 0.60‒0.65) and 0.60 (95% CI 0.57‒0.63) for the validation cohort. There was no significant difference between the predicted and observed probabilities of live birth (Hosmer-Lemeshow test, p > 0.05). The model developed had similar discrimination to existing models and could be implemented in clinical practice.

Obesitas Umum Berdasarkan Indeks Masa Tubuh Dan Obesitas Abdominal Berdasarkan Lingkar Pinggang Terhadap Kejadian Prediabetes

2018 ◽  
Vol 16 (3) ◽  
pp. 34-41
Author(s):  
Nur Rizky Ramadhani ◽  
Nurhayati Adnan
Keyword(s):  
Cox Regression

Prediabetes adalah masalah kesehatan global. Prevalensi prediabetes meningkat signiikan di seluruh dunia dan umumnya tinggi di masyarakat serta merupakan keadaan risiko tinggi untuk DM. Obesitas memiliki peranan penting dalam patoisiologi prediabetes. Penelitian ini bertujuan untuk mengetahui apakah obesitas umum dan obesitas abdominal secara bersama-sama berhubungan terhadap kejadian prediabetes pada kelompok usia 20-65 tahun di Kecamatan Bogor Tengah berdasarkan faktor riwayat DM keluarga, jenis kelamin, umur, merokok, hipertensi, aktiitas isik dan stress. Desain studi yang digunakan adalah potong lintang dengan Cox Regression untuk analisis multivariable. Data analisis merupakan data baseline dari studi kohort faktor risiko penyakit tidak menular tahun 2012. Ada 3244 responden yang dipilih dengan teknik sampel acak. Hasil analisis menunjukkan bahwa obesitas terhadap kejadian prediabetes setelah mengendalikan faktor umur adalah obesitas umum PR 1,56 (95% CI: 1,15-2,11), obesitas abdominal PR 1,43 (95% CI; 1,09-1,85) dan obesitas umum dan obesitas abdominal secara bersama-sama PR 1,93 (95% CI; 1,62-2,28). Untuk itu, obesitas umum dan obesitas abdominal secara bersama-sama berkontribusi paling besar terhadap peningkatan prevalensi prediabetes. Peningkatan kesadaran dan skrining prediabetes pada kelompok risiko tinggi berdasarkan pengukuran IMT bersama dengan lingkar pinggang penting untuk dipertimbangkan sebagai bagian dari upaya untuk mengurangi epidemi prediabetes di masyarakat. Kata Kunci: obesitas abdominal, obesitas umum, prediabetes

Does Hospitalization Predict the Disease Course in Ulcerative Colitis? Prevalence and Predictors of Hospitalization and Re- Hospitalization in Ulcerative Colitis in a Population-based Inception Cohort (2000-2012)

2015 ◽  
Vol 24 (3) ◽  
pp. 287-292 ◽  
Author(s):  
Petra A. Golovics ◽  
Laszlo Lakatos ◽  
Michael D. Mandel ◽  
Barbara D. Lovasz ◽  
Zsuzsanna Vegh ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Cox Regression ◽  
Diagnostic Procedures ◽  
Population Based ◽  
Disease Course ◽  
Inception Cohort ◽  
Disease Extent ◽  
Cox Regression Analysis ◽  
Hospitalization Rates

Background & Aims: Limited data are available on the hospitalization rates in population-based studies. Since this is a very important outcome measure, the aim of this study was to analyze prospectively if early hospitalization is associated with the later disease course as well as to determine the prevalence and predictors of hospitalization and re-hospitalization in the population-based ulcerative colitis (UC) inception cohort in the Veszprem province database between 2000 and 2012. Methods: Data of 347 incident UC patients diagnosed between January 1, 2000 and December 31, 2010 were analyzed (M/F: 200/147, median age at diagnosis: 36, IQR: 26-50 years, follow-up duration: 7, IQR 4-10 years). Both in- and outpatient records were collected and comprehensively reviewed. Results: Probabilities of first UC-related hospitalization were 28.6%, 53.7% and 66.2% and of first re-hospitalization were 23.7%, 55.8% and 74.6% after 1-, 5- and 10- years of follow-up, respectively. Main UC-related causes for first hospitalization were diagnostic procedures (26.7%), disease activity (22.4%) or UC-related surgery (4.8%), but a significant percentage was unrelated to IBD (44.8%). In Kaplan-Meier and Cox-regression analysis disease extent at diagnosis (HR extensive: 1.79, p=0.02) or at last follow-up (HR: 1.56, p=0.001), need for steroids (HR: 1.98, p<0.001), azathioprine (HR: 1.55, p=0.038) and anti-TNF (HR: 2.28, p<0.001) were associated with the risk of UC-related hospitalization. Early hospitalization was not associated with a specific disease phenotype or outcome; however, 46.2% of all colectomies were performed in the year of diagnosis. Conclusion: Hospitalization and re-hospitalization rates were relatively high in this population-based UC cohort. Early hospitalization was not predictive for the later disease course.

The impact of statin therapy after surgical or endovascular treatment of cerebral aneurysms

2020 ◽  
Vol 133 (1) ◽  
pp. 182-189
Author(s):  
Tae-Jin Song ◽  
Seung-Hun Oh ◽  
Jinkwon Kim
Keyword(s):  
Statin Therapy ◽  
Coil Embolization ◽  
Primary Outcome ◽  
Cox Regression ◽  
Cerebral Aneurysms ◽  
Time Dependent ◽  
Lipid Lowering ◽  
Surgical Clipping ◽  
The Impact

OBJECTIVECerebral aneurysms represent the most common cause of spontaneous subarachnoid hemorrhage. Statins are lipid-lowering agents that may expert multiple pleiotropic vascular protective effects. The authors hypothesized that statin therapy after coil embolization or surgical clipping of cerebral aneurysms might improve clinical outcomes.METHODSThis was a retrospective cohort study using the National Health Insurance Service–National Sample Cohort Database in Korea. Patients who underwent coil embolization or surgical clipping for cerebral aneurysm between 2002 and 2013 were included. Based on prescription claims, the authors calculated the proportion of days covered (PDC) by statins during follow-up as a marker of statin therapy. The primary outcome was a composite of the development of stroke, myocardial infarction, and all-cause death. Multivariate time-dependent Cox regression analyses were performed.RESULTSA total of 1381 patients who underwent coil embolization (n = 542) or surgical clipping (n = 839) of cerebral aneurysms were included in this study. During the mean (± SD) follow-up period of 3.83 ± 3.35 years, 335 (24.3%) patients experienced the primary outcome. Adjustments were performed for sex, age (as a continuous variable), treatment modality, aneurysm rupture status (ruptured or unruptured aneurysm), hypertension, diabetes mellitus, household income level, and prior history of ischemic stroke or intracerebral hemorrhage as time-independent variables and statin therapy during follow-up as a time-dependent variable. Consistent statin therapy (PDC > 80%) was significantly associated with a lower risk of the primary outcome (adjusted hazard ratio 0.34, 95% CI 0.14–0.85).CONCLUSIONSConsistent statin therapy was significantly associated with better prognosis after coil embolization or surgical clipping of cerebral aneurysms.

RESULTS OF TREATMENT OF LOCALLY RECURRING SOFT TISSUES SARCOMAS OF EXTREMITIES

2018 ◽  
Vol 64 (3) ◽  
pp. 408-413
Author(s):  
Grigoriy Zinovev ◽  
Georgiy Gafton ◽  
Sergey Novikov ◽  
Ivan Gafton ◽  
Yekaterina Busko ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Soft Tissues ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Tumor Location ◽  
Long Term Results ◽  
Clinical Feature ◽  
National Medical ◽  
Results Of Treatment ◽  
Kaplan Meier

Background: The most striking clinical feature of soft tissues sarcomas (STS) is their ability to recur. At present disputes about the clinical and morphological factors of STS recurrence such as the degree of malignancy, size, location, depth of tumor location, patient’s age and the presence of previous relapses in the anamnesis do not subside. It also requires clarification of the effect of the volume of tissues removed on the long-term results of treatment of STS as well as indications for the application of various regimes of remote radiation therapy. Materials and methods: Of 1802 registered cases of STS of extremities at the N.N. Petrov National Medical Research Center of Oncology from 2004 to 2016 there were selected data on 213 patients who suffered from at least one relapse of the disease. There was performed an assessment of overall, non-metastatic and disease-free survival using a single-factor (the Kaplan-Meier method) and multivariate analysis (the Cox regression model). Conclusion: The detection of various prognostic factors of locally recurrent STS allows determining the necessary treatment tactics (the vastness and traumatism of surgery and the advisability of radiation therapy).

Red Blood Cell Indices in Relation to Post-stroke Psychiatric Disorders: A Longitudinal Study in a Follow-up Stroke Clinic

2020 ◽  
Vol 17 (3) ◽  
pp. 218-223
Author(s):  
Haichao Wang ◽  
Li Gong ◽  
Xiaomei Xia ◽  
Qiong Dong ◽  
Aiping Jin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Blood Cell ◽  
Cox Regression ◽  
Depression And Anxiety ◽  
Cox Regression Analysis ◽  
Post Stroke ◽  
Rbc Indices ◽  
Post Stroke Depression

Background: Depression and anxiety after stroke are common conditions that are likely to be neglected. Abnormal red blood cell (RBC) indices may be associated with neuropsychiatric disorders. However, the association of RBC indices with post-stroke depression (PSD) and poststroke anxiety (PSA) has not been sufficiently investigated. Methods: We aimed to investigate the trajectory of post-stroke depression and anxiety in our follow- up stroke clinic at 1, 3, and 6 months, and the association of RBC indices with these. One hundred and sixty-two patients with a new diagnosis of ischemic stroke were followed up at 1, 3, and 6 months, and underwent Patient Health Questionnaire-9 (PHQ-9) and the general anxiety disorder 7-item (GAD-7) questionnaire for evaluation of depression and anxiety, respectively. First, we used Kaplan-Meier analysis to investigate the accumulated incidences of post-stroke depression and post-stroke anxiety. Next, to explore the association of RBC indices with psychiatric disorders after an ischemic stroke attack, we adjusted for demographic and vascular risk factors using multivariate Cox regression analysis. Results: Of the 162 patients with new-onset of ischemic stroke, we found the accumulated incidence rates of PSD (1.2%, 17.9%, and 35.8%) and PSA (1.2%, 13.6%, and 15.4%) at 1, 3, and 6 months, respectively. The incident PSD and PSA increased 3 months after a stroke attack. Multivariate Cox regression analysis indicated independent positive associations between PSD risk and higher mean corpuscular volume (MCV) (OR=1.42, 95% CI=1.16-1.76), older age (OR=2.63, 95% CI=1.16-5.93), and a negative relationship between male sex (OR=0.95, 95% CI=0.91-0.99) and PSA. Conclusion: The risks of PSD and PSA increased substantially 3 months beyond stroke onset. Of the RBC indices, higher MCV, showed an independent positive association with PSD.

Prognostic role of aberrant mTOR activation in patients with stage II and III colorectal cancer

2020 ◽  
Vol 14 (12) ◽  
pp. 1127-1137
Author(s):  
Tong-Tong Zhang ◽  
Yi-Qing Zhu ◽  
Hong-Qing Cai ◽  
Jun-Wen Zheng ◽  
Jia-Jie Hao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Poor Prognostic Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Risk Predictor

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

A novel three-long noncoding RNA risk score system for the prognostic prediction of triple-negative breast cancer

2021 ◽  
Vol 15 (1) ◽  
pp. 43-55
Author(s):  
Chao Yuan ◽  
Hongjun Yuan ◽  
Li Chen ◽  
Miaomiao Sheng ◽  
Wenru Tang
Keyword(s):  
Breast Cancer ◽  
Risk Score ◽  
Triple Negative Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Triple Negative ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Gene Expression Omnibus ◽  
Prognostic Prediction

Background: Triple-negative breast cancer (TNBC) is characterized by fast tumor increase, rapid recurrence and natural metastasis. We aimed to identify a genetic signature for predicting the prognosis of TNBC. Materials & methods: We conducted a weighted correlation network analysis of datasets from the Gene Expression Omnibus. Multivariate Cox regression was used to construct a risk score model. Results: The multi-factor risk scoring model was meaningfully associated with the prognosis of patients with TBNC. The predictive power of the model was demonstrated by the time-dependent receiver operating characteristic curve and Kaplan–Meier curve, and verified using a validation set. Conclusion: We established a long noncoding RNA-based model for the prognostic prediction of TNBC.

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