Relevant bibliographies by topics / Survival analysis studies

Academic literature on the topic 'Survival analysis studies'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Survival analysis studies"

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Yang, Liu, and Kristiaan Pelckmans. "Machine Learning Approaches to Survival Analysis: Case Studies in Microarray for Breast Cancer." International Journal of Machine Learning and Computing 4, no. 6 (2014): 483–90. http://dx.doi.org/10.7763/ijmlc.2014.v6.459.

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Langova, Katerina. "SURVIVAL ANALYSIS FOR CLINICAL STUDIES." Biomedical Papers 152, no. 2 (December 1, 2008): 303–7. http://dx.doi.org/10.5507/bp.2008.048.

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Tachmazidou, Ioanna, Toby Andrew, Claudio J. Verzilli, Michael R. Johnson, and Maria De Iorio. "Bayesian survival analysis in genetic association studies." Bioinformatics 24, no. 18 (July 9, 2008): 2030–36. http://dx.doi.org/10.1093/bioinformatics/btn351.

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Chen, D. G., and Y. L. Lio. "Comparative Studies on Frailties in Survival Analysis." Communications in Statistics - Simulation and Computation 37, no. 8 (August 27, 2008): 1631–46. http://dx.doi.org/10.1080/03610910802061727.

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Cnaan, Avital, and Louise Ryan. "Survival analysis in natural history studies of disease." Statistics in Medicine 8, no. 10 (October 1989): 1255–68. http://dx.doi.org/10.1002/sim.4780081009.

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BULL, KATE, and DAVID J. SPIEGELHALTER. "TUTORIAL IN BIOSTATISTICS SURVIVAL ANALYSIS IN OBSERVATIONAL STUDIES." Statistics in Medicine 16, no. 9 (May 15, 1997): 1041–74. http://dx.doi.org/10.1002/(sici)1097-0258(19970515)16:9<1041::aid-sim506>3.0.co;2-f.

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Pollock, Kenneth H., Scott R. Winterstein, Christine M. Bunck, and Paul D. Curtis. "Survival Analysis in Telemetry Studies: The Staggered Entry Design." Journal of Wildlife Management 53, no. 1 (January 1989): 7. http://dx.doi.org/10.2307/3801296.

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Shih, Joanna H., and Nilanjan Chatterjee. "Analysis of Survival Data from Case-Control Family Studies." Biometrics 58, no. 3 (September 2002): 502–9. http://dx.doi.org/10.1111/j.0006-341x.2002.00502.x.

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Kosińska, Magdalena, and Anita Szwed. "Application of Survival Analysis in Studies of Human Ontogeny." Applied Mathematics 05, no. 11 (2014): 1697–704. http://dx.doi.org/10.4236/am.2014.511162.

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Khayyat, A., M. Asad, A. Aslam, R. Rabbani, S. Fabara, S. Chandramohan, N. Unachukwu, et al. "Neuroendocrine tumors and Survival- a meta-analysis." American Journal of Clinical Pathology 156, Supplement_1 (October 1, 2021): S57. http://dx.doi.org/10.1093/ajcp/aqab191.117.

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Abstract Introduction/Objective Neuroendocrine tumors (NET) are a rare group of epithelial neoplasm present in gastrointestinal tract (GI) (67.5%), bronchopulmonary tree (25.3-30%) and in 15% cases primary sites cannot be identified. Although endoscopic screening, improvement in pathological techniques and early detection have shown improvement in NET survival rates, the prognosis is very poor. In this study we aimed to evaluate the effect of Gastrointestinal pancreatic NETs (GEP NETs) grade on overall survival. Methods/Case Report We searched observational studies describing the overall survival or prognostic factors of primary GEP NETs from May 2011 -May 2021 following PRISMA guidelines. Studies describing the effect of primary grade 3 GEP NETs on overall survival were included. Meta-analysis was performed and pooled hazard ratio and their 95% confidence interval (95%CI) were obtained. The forest plots were created using random effects models and sensitivity analysis was performed to account for the heterogeneity. Results (if a Case Study enter NA) Seven studies with 7692 confirmed patients were included. In our meta-analysis grade 3 GEP NET were associated with higher odds of poor survival (pooled HR: 2.73; 95% CI: 1.36–5.47; p = 0.005), with 92% heterogeneity between studies (p &lt; 0.0001). To account for heterogeneity, sensitivity analysis was performed by removing two outlying studies (Fathi et al. and Foubert et al.) on funnel plots. The results after sensitivity analysis did not change and still showed significant association of grade 3 with poor survival (pooled HR: 4.53; 95% CI: 3.54–5.78; p &lt; 0.00001), with no heterogeneity between studies (p = 0.72; I2 = 0%). Conclusion Our meta-analysis found that grade 3 GEP NETs is associated with poor survival and additional future studies are needed to identify other risk factors associated with poor survival in GEP NETs to improve the mortality.
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Dissertations / Theses on the topic "Survival analysis studies"

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Nwi-Mozu, Isaac. "Robustness of Semi-Parametric Survival Model: Simulation Studies and Application to Clinical Data." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3618.

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An efficient way of analyzing survival clinical data such as cancer data is a great concern to health experts. In this study, we investigate and propose an efficient way of handling survival clinical data. Simulation studies were conducted to compare performances of various forms of survival model techniques using an R package ``survsim". Models performance was conducted with varying sample sizes as small ($n5000$). For small and mild samples, the performance of the semi-parametric outperform or approximate the performance of the parametric model. However, for large samples, the parametric model outperforms the semi-parametric model. We compared the effectiveness and reliability of our proposed techniques using a real clinical data of mild sample size. Finally, systematic steps on how to model and explain the proposed techniques on real survival clinical data was provided.
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Pecková, Monika. "Efficiency based adaptive tests for censored survival data /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/9599.

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Ekman, Mattias. "Studies in health economics : modelling and data analysis of costs and survival." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics [Ekonomiska forskningsinstitutet vid Handelshögsk.] (EFI), 2002. http://www.hhs.se/efi/summary/598.htm.

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Nan, Bin. "Information bounds and efficient estimates for two-phase designs with lifetime data /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/9587.

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Molinares, Carlos A. "Parametric and Bayesian Modeling of Reliability and Survival Analysis." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3252.

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The objective of this study is to compare Bayesian and parametric approaches to determine the best for estimating reliability in complex systems. Determining reliability is particularly important in business and medical contexts. As expected, the Bayesian method showed the best results in assessing the reliability of systems. In the first study, the Bayesian reliability function under the Higgins-Tsokos loss function using Jeffreys as its prior performs similarly as when the Bayesian reliability function is based on the squared-error loss. In addition, the Higgins-Tsokos loss function was found to be as robust as the squared-error loss function and slightly more efficient. In the second study, we illustrated that--through the power law intensity function--Bayesian analysis is applicable in the power law process. The power law intensity function is the key entity of the power law process (also called the Weibull process or the non-homogeneous Poisson process). It gives the rate of change of a system's reliability as a function of time. First, using real data, we demonstrated that one of our two parameters behaves as a random variable. With the generated estimates, we obtained a probability density function that characterizes the behavior of this random variable. Using this information, under the commonly used squared-error loss function and with a proposed adjusted estimate for the second parameter, we obtained a Bayesian reliability estimate of the failure probability distribution that is characterized by the power law process. Then, using a Monte Carlo simulation, we showed the superiority of the Bayesian estimate compared with the maximum likelihood estimate and also the better performance of the proposed estimate compared with its maximum likelihood counterpart. In the next study, a Bayesian sensitivity analysis was performed via Monte Carlo simulation, using the same parameter as in the previous study and under the commonly used squared-error loss function, using mean square error comparison. The analysis was extended to the second parameter as a function of the first, based on the relationship between their maximum likelihood estimates. The simulation procedure demonstrated that the Bayesian estimates are superior to the maximum likelihood estimates and that the selection of the prior distribution was sensitive. Secondly, we found that the proposed adjusted estimate for the second parameter has better performance under a noninformative prior. In the fourth study, a Bayesian approach was applied to real data from breast cancer research. The purpose of the study was to investigate the applicability of a Bayesian analysis to survival time of breast cancer data and to justify the applicability of the Bayesian approach to this domain. The estimation of one parameter, the survival function, and hazard function were analyzed. The simulation analysis showed that the Bayesian estimate of the parameter performed better compared with the estimated value under the Wheeler procedure. The excellent performance of the Bayesian estimate is reflected even for small sample sizes. The Bayesian survival function was also found to be more efficient than its parametric counterpart. In the last study, a Bayesian analysis was carried out to investigate the sensitivity to the choice of the loss function. One of the parameters of the distribution that characterized the survival times for breast cancer data was estimated applying a Bayesian approach and under two different loss functions. Also, the estimates of the survival function were determined under the same setting. The simulation analysis showed that the choice of the squared-error loss function is robust in estimating the parameter and the survival function.
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McNeil, Alexander John. "Statistical methods in AIDS progression studies with an analysis of the Edinburgh City Hospital Cohort." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307053.

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Moayyeri, Alireza. "Risk assessment for osteoporotic fractures among men and women from a prospective population study : the EPIC-Norfolk study." Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/243860.

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Osteoporotic fractures are a major and increasing clinical and public health concern internationally. Identification of individuals at high risk for fragility fractures may enable us to target preventive interventions more effectively. In this thesis, I aimed to evaluate novel risk factors for osteoporosis and develop a fracture risk assessment model among the middle-aged and older people. I used data from the European Prospective Investigation into Cancer (EPIC)-Norfolk study, which is a large population-based prospective study started in 1993. About 25,000 men and women were assessed at baseline and about 15,000 of them returned for a second examination 4 years later. All participants are followed up to the present for clinical events including fractures. My work is in two parts. For the first part, I examined the risk of fracture associated with some novel or less well studied risk factors. These risk factors included change in height over time, respiratory function, physical activity and body fat mass. We found that men and women with annual height loss >0.5 cm are at increased risk of hip and any fracture (relative risk=1.9 (95% CI 1.3-2.7) per cm/year height loss). One litre lower forced expiratory volume in 1 second (FEV1) was associated with a 2-fold risk of hip fracture in men and women. We also observed a non-linear association, independent of body mass index, between increasing body fat mass and lower fracture risk in women but not in men. I performed a systematic review and meta-analysis of studies evaluating the association between physical activity and hip fractures. Using a new validated questionnaire in EPIC-Norfolk, we observed varying relationships between physical activity in different domains of life and fracture risk in men and women. For the second part of the thesis, I developed a biostatistical model to calculate 10-year risk of developing a fracture among EPIC-Norfolk study participants. This model incorporates clinical and radiological assessments known to be associated with fractures and can be extended to other risk factors assessed in other prospective cohorts. This helps clinicians to achieve a better estimate of the prospective risk of fracture in their patients. I applied this model to compare the predictive value of two different clinical assessment methods for osteoporosis, namely dual-energy X-ray absorptiometry (DXA) and quantitative ultrasound (QUS). We found that that the predictive power of QUS is comparable to, and independent of, predictive power of DXA. In summary, my studies have added to our knowledge about some novel and easy-to-use risk factors of osteoporosis and proposed a practical method to merge and utilise data from different risk factors for estimation of fracture risk in individuals.
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Vizcain, Dorian Charles. "Investigating the Hispanic/Latino Male Dropout Phenomenon: Using Logistic Regression and Survival Analysis." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001322.

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Näpänkangas, R. (Ritva). "Fixed metal ceramic prostheses:treatment need, complications and survival of conventional fixed prosthodontics." Doctoral thesis, University of Oulu, 2001. http://urn.fi/urn:isbn:9514265408.

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Abstract The aims of this study were to evaluate the treatment need of fixed bridges according to the distribution of pontics in dentition in different age groups, and to investigate the primary and late complications and survival of the conventional fixed metal ceramic prostheses, as well as patients' satisfaction with the prosthetic treatment. The whole material consisted of the patients treated with fixed metal ceramic prostheses by undergraduate students at the Institute of Dentistry during the years 1984 - 1996. There were altogether 772 patients, 460 women (60 %) and 312 men (40 %). Their mean age was 47 years (23 - 81 years). Altogether 944 single metal ceramic crowns and 543 fixed bridges (1374 abutments and 807 pontics) were prepared. It can be concluded that the fixed bridges are most often prepared to replace upper first premolars and lower first molars also in the future. The most usual primary complications related to fixed bridges occurred during preprosthetic endodontic treatment of abutment teeth and during the preparation of the root canals. Previous restoration of the prepared tooth does not have any marked effect on the prognosis of single crowns with dowels, although anatomically complicated upper lateral incisors and upper first premolars need special attention in the treatment planning. Patients were satisfied with aesthetics and function of the fixed metal ceramic prostheses. Late complications found in clinical examinations were few, and the survival rate for the fixed metal ceramic bridge prostheses was calculated to be 84 % after 10 years, long fixed bridges having a lower survival than the shorter ones. The treatment need for conventional fixed bridges seems to be highest among patients over 50 years of age in the future. Age does not influence the longevity of the fixed prostheses, but basic circumstances of the mouth, especially low secretion of saliva affected by diseases and/or medications and high scores of lactobacilli and streptococcus mutans of the saliva seem to decrease the survival.
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Kelly, Jodie. "Topics in the statistical analysis of positive and survival data." Thesis, Queensland University of Technology, 1998.

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Books on the topic "Survival analysis studies"

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Harris, Eugene K. Survivorship analysis for clinical studies. New York: M. Dekker, 1991.

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Harris, Eugene K. Survivorship Analysis for Clinical Studies. New York, USA: CRC Press, 1990.

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Grazia, Valsecchi Maria, ed. Analysing survival data from clinical trials and observational studies. Chichester: J. Wiley, 1995.

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Clinical statistics: Introducing clinical trials, survival analysis, and longitudinal data analysis. Sudbury, Mass: Jones and Bartlett Publishers, 2009.

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Hertlein, Beth A. The co-op survival guide: Analysis of seven key co-op industries. [Sacramento, CA] (725 30th St., Sacramento 95816): Co-opnet, 1985.

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Robertson, Hugh A. A practical guide to the management and analysis of survivorship data from radio-tracking studies. Wellington, N.Z: Science & Technical Publishing, Dept. of Conservation, 2005.

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Can small urban communities survive?: Culturological analysis in urban rehabilitation : cases in Slovenia and Scotland. Aldershot, England: Ashgate, 2001.

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Cavaciocchi, Simonetta, ed. La famiglia nell'economia europea secoli XIII-XVIII. TheEconomic Role of the Family in the European Economy fromthe 13th to the 18th Centuries. Florence: Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-8453-911-3.

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In the sphere of the vast panorama of international studies on the family in the pre-industrial age, the 11th Study Week promoted by the Fondazione Datini explored the economic role played by the members of this fundamental group in the survival and evolution of society. Developing over the course of five centuries, and examining the peculiarities proper to the different geographical areas of Europe, the studies collected in this book analyse economic strategies aimed at generating and perpetuating financial and property fortunes, or even simply at protecting and preserving the family group. They also address the articulated economic functions which the various components performed within the family, and the manner in which such strategies integrated and interacted in a complex context of different entities and social brackets. Within this framework, the book presents not just a series of new studies on the individual family groups, but above all is intended to underscore the important collective function of the family, which played a significant role in the growth, stasis or decline of the societies of pre-industrial Europe.
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Kim, Sŭng-u. Survival analysis in fishery management. 1991.

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Analysing Survival Data from Clinical Trials and Observational Studies (Statistics in Practice). Wiley-Interscience, 2004.

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Book chapters on the topic "Survival analysis studies"

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Bull, Kate, and David J. Spiegelhalter. "Survival Models: Survival Analysis in Observational Studies." In Tutorials in Biostatistics, 107–40. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470023678.ch1d.

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Grzenda, Wioletta. "Survival Trees and Direct Adjusted Survival Curves—Prediction of Survival Probabilities." In Studies in Classification, Data Analysis, and Knowledge Organization, 31–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10190-8_3.

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Klein, John P. "Survival Analysis Methods in Cancer Studies." In Biostatistical Applications in Cancer Research, 37–57. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3571-0_3.

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Gordon, Nahida H. "Cure Mixture Models in Breast Cancer Survival Studies." In Lifetime Data: Models in Reliability and Survival Analysis, 107–12. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5654-8_16.

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Cole, Bernard F., and Kerry L. Kilbridge. "Quality-Adjusted Survival Analysis in Cancer Clinical Trials." In Statistical Methods for Quality of Life Studies, 287–300. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3625-0_22.

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Radespiel-Tröger, M., T. Rabenstein, L. Höpfner, and H. T. Schneider. "Comparing Split Criteria for Constructing Survival Trees." In Studies in Classification, Data Analysis, and Knowledge Organization, 357–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55721-7_36.

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Baschieri, Giulia, Giorgio S. Bertinetti, and Gloria Gardenal. "Start-Ups Beyond the Crisis: A Survival Analysis." In Palgrave Macmillan Studies in Banking and Financial Institutions, 237–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45752-5_11.

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Kubíčková, Veronika. "Application of Survival Analysis on Analysing the Association Between Chromosomal Aberrations and Carcinoma." In Studies in Computational Intelligence, 93–102. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19147-8_5.

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Thamrin, Sri Astuti, James M. McGree, and Kerrie L. Mengersen. "Bayesian Weibull Survival Model for Gene Expression Data." In Case Studies in Bayesian Statistical Modelling and Analysis, 171–85. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118394472.ch10.

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Coffin, Marie, and Shashikala Sukhatme. "A Parametric Approach to Measurement Errors in Receiver Operating Characteristic Studies." In Lifetime Data: Models in Reliability and Survival Analysis, 71–75. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5654-8_11.

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Conference papers on the topic "Survival analysis studies"

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Stillman, R. H. "Case studies in survival analysis of overhead line components." In Second International Conference on the Reliability of Transmission and Distribution Equipment. IEE, 1995. http://dx.doi.org/10.1049/cp:19950244.

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Grzebyk, Michel, Isabelle Clerc-Urmès, Ève Bourgkard, Régis Colin, and Guy Hédelin. "P189 Use of relative survival analysis in occupational historical cohort studies." In Occupational Health: Think Globally, Act Locally, EPICOH 2016, September 4–7, 2016, Barcelona, Spain. BMJ Publishing Group Ltd, 2016. http://dx.doi.org/10.1136/oemed-2016-103951.506.

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Chan, Vinson Wai-Shun, Ahmad Abul, Filzah Osman, Helen Ng, Kaiwen Wang, Yuhong Yuan, Jon Cartledge, and Tze Min Wah. "Ablative Therapies versus Partial Nephrectomy for Small Renal Masses – A systematic review and meta-analysis of observational studies." In VIRTUAL ACADEMIC SURGERY CONFERENCE 2021. Cambridge Medicine Journal, 2021. http://dx.doi.org/10.7244/cmj.2021.04.001.3.

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Introduction: The ideal treatment of small renal masses is unclear. Ablative therapies (AT) have been considered as a potential alternative to partial nephrectomy (PN) due to their lower complication rates and similar oncological durability. We conducted a systematic review to compare oncological outcomes in T1a or T1b patients undergoing AT vs PN. Methods: This review is registered on PROSPERO (CRD42020199099). Medline, EMBASE, and Cochrane CENTRAL were searched to identify studies comparing AT and PN. The Cochrane RoB 2.0, ROBINS-I tool and the GRADE approach were used to assess any risk of biases. Results: From 1,748 identified records, 32 observational studies and 1 RCT involving 74,946 patients were included. AT patients were found to be significant older than PN patients (MD 5.70, 95% CI 3.83- 7.58), which highlights the serious confounding bias found in the included studies. Patients who received AT for T1a tumours were found to have significantly worse overall survival (HR 1.64, 95% CI 1.39-1.95), but similar cancer-specific survival (CSS), metastatic-free survival, and disease-free survival to PN. There were significantly fewer post-operative complications (RR 0.72, 95%CI 0.55- 0.94) and smaller decline in renal function post-operatively in AT (MD: -7.42, 95%CI -13.1- -1.70). In T1b patients, while CSS was similar between AT and PN, there is contradicting evidence for other oncological outcomes. Conclusion: AT is potentially non-inferior to PN in the treatment of T1a small renal masses due to similar long-term oncological durability, lower complication rates and better renal function preservation. In T1b patients, long-term high-quality studies are needed to confirm potential benefits of AT.
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Quirós, Alicia, Armando Pérez de Prado, Natalia Montoya, and José Hernández. "Multi-state Models for the Analysis of Survival Studies in Biomedical Research: An Alternative to Composite Endpoints." In 11th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009105701940199.

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Schneider, B., C. Geser, and W. Feuerer. "EFFECT OF ANTICOAGULANT TREATMENT WITH RA-233 (MOPIDAMOLE)ON SURVIVAL IN BRONCHIAL CANCER." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644671.

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RA-233 (mopidamole) is a phosphodiesterase inhibitor that has been -shown previously to limit progression of malignancy in certain experimental animal models and in pilot studies in humans. To test its therapeutic effect a multicenter double blind controlled clinical trial was performed from 1982-1986 with patients suffering from (non small-cell) bronchial cancer. 7 centers participated and the data of 270 patients (147 treated with placebo and 123with RA-233) could be analyzed. Median treatment time was 18 months, median observation time 21 months. With RA-233 treatment survival couldbe increased significantly (Savage-test; p = 0.05 (one sided)) compared to placebo treatment (mean survival time in the RA-233 group 1080 days, in the placebo group 960 days).Cox-analysis showed a significant reduction of the hazard function to 0.6 by RA-233 treatment compared with placebo. As additional significant influence factors of the hazard-function , the postsurgical TNM-class and the histological type could be revealed. Patients from stage T1or T2 and NO survived significantlylonger than patients with other TNM-stages. But there is no interaction between treatment and TNM-class; i.e. RA-233 effect is in all TNM-stages similar. In contrast to survival metastasis-frequency and metastasis-free interval could not be influenced by RA-233.
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Kim, G. H. J., W. Chou, T. Lee, M. S. Brown, L. Poole, and J. G. Goldin. "Minimal Clinically Important Differences in Radiological Changes of QLF Associated with Overall Survival in IPF: Analysis of Phase 2 Studies from FibroGen (Studies 049 and 067)." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3426.

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Morra, Anna, Audrey Y. Jung, Sabine Behrens, Rose Yang, Heather Eliassen, Michelle Holmes, Montserrat Garcia-Closas, Marjanka K. Schmidt, and Jenny Chang-Claude. "Abstract 3286: Breast cancer risk factors and survival by tumor subtypes: A pooled analysis from the breast cancer association consortium studies." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-3286.

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Morra, Anna, Audrey Y. Jung, Sabine Behrens, Rose Yang, Heather Eliassen, Michelle Holmes, Montserrat Garcia-Closas, Marjanka K. Schmidt, and Jenny Chang-Claude. "Abstract 3286: Breast cancer risk factors and survival by tumor subtypes: A pooled analysis from the breast cancer association consortium studies." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-3286.

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von Minckwitz, Gunter, Claudia Mamouhdian-Dekordi, Sibylle Loibl, Jens-Uwe Blohmer, Serban Dan Costa, Carsten Denkert, Holger Eidtmann, et al. "Abstract 4699: Responsecharacteristics and overall survival of 781 patients with triple-negativebreast cancer - a meta-analysis on 7 German neoadjuvant studies." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-4699.

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Kumar, Neha, Amita Maheshwari, Sudeep Gupta, Jaya Ghosh, Jyoti Bajpai, T. S. Shylasree, and Rajendra Kerkar. "Retrospective analysis of surgical outcomes and survival in women with advanced ovarian cancer undergoing interval debulking surgery." In 16th Annual International Conference RGCON. Thieme Medical and Scientific Publishers Private Ltd., 2016. http://dx.doi.org/10.1055/s-0039-1685404.

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Introduction: Both primary (PDS) and interval debulking surgery (IDS) have reported similar progression free survival (PFS) and overall survival (OS) rates in various studies. Complete resection of all macroscopic disease is the strongest independent variable in predicting survival in both groups. Objective: To evaluate the demographics, surgical outcomes and survival in women with advanced ovarian cancer undergoing IDS. Methods: All women with Stage IIIC or Stage IV epithelial ovarian or primary peritoneal cancer, registered at our institution from January 2010 to December 2010, who were treated with NACT followed by IDS, were included in the study. Demographic data, CA-125 levels (baseline and presurgery), chemotherapy and surgical details were collected. Progression free survival (PFS) and overall survival (OS) were calculated and Cox regression and Kaplan-Meier survival analysis were used to evaluate factors associated with survival. Results: One hundred fifty women with Stage IIIC or Stage IV epithelial ovarian or primary peritoneal cancer were included in the analysis. The mean age was 51.08 years (27 to 73 years) and 97.3% had serous histology. Eighty percent (n = 120) had Stage IIIC and 20% (n = 30) had Stage IV disease. Ninety five percent women received Carboplatin and Paclitaxel or single agent Carboplatin as NACT and the median number of NACT cycles was 3. The median baseline CA-125 was 1649.3 U/ml (Range 16.4–235,100 U/ml) and the median CA-125 post NACT was 42.75 U/ml (Range 4.4–5151 U/ml). Seventy four percent women (n = 111) underwent an optimal cytoreduction – 62.7% (n = 94) had R0 and 11.3% (n = 17) had R1 resection. Twenty six percent women (n = 39) had R2 resection. The median CA-125 post NACT was 27.3 U/ml, 36 U/ml and 99 U/ml in women with R0, R1 and R2 resection respectively and the difference was statistically significant (p < 0.0005). The CA125 response was respectively, 97.6%, 95.7% and 93.8% in R0, R1 and R2 resection (p < 0.0005). The median follow up was 42.48 months (Range 1.48–70.93 months). The median PFS was 12.06 months (95% CI 10.02-14.1) – 12.98 months (95% CI 9.7–16.2) in R0, 9.56 months (95% CI 1.7–17.4) in R1 and 6.64 months (95% CI 4.9–8.3) in women with R2 resection (p = 0.158). The median OS was 38.9 months (95% CI 31.7–46.1) – 43.3 months (95% CI 33–53.5) in R0, 46.1 months (95% CI 26.6–65.5) in R1 and 28 months (95% CI 25–30.9) in R2 resection (p = 0.121). The median PFS and OS in women undergoing optimal cytoreduction (R0 and R1) was 12.98 months (95% CI 9.86–16.1) and 43.7 months (95% CI 34.7–52.7) respectively as compared to 6.64 months (95% CI 4.95–8.32) and 28 months (95% CI 25–30.9) respectively in women with R2 resection (PFS p = 0.064, OS p = 0.04). Multivariate analysis discussing the factors affecting the probability of optimal cytoreduction and the survival will be discussed. Conclusion: In women with advanced ovarian cancer undergoing NACT followed by IDS, a high rate of optimal cytoreduction is achieved. Residual disease is a primary factor affecting the survival of these women.
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Reports on the topic "Survival analysis studies"

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Smith, Steven G., John R. Skalski, and J. Warren Schelechte. Statistical Survival Analysis of Fish and Wildlife Tagging Studies; SURPH.1 Manual - Analysis of Release-Recapture Data for Survival Studies, 1994 Technical Manual. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/654053.

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2

Doss, Hani. Studies in Reliability Theory and Survival Analysis and in Markov Chain Monte Carlo Methods. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada367895.

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Doss, Hani. Studies in Reliability Theory and Survival Analysis and in Markov Chain Monte Carlo Methods. Fort Belvoir, VA: Defense Technical Information Center, December 1998. http://dx.doi.org/10.21236/ada379998.

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Smith, Steven G., John Skalski, and J. Warren Schelechte. Statistical Survival Analysis for Fish and Wildlife Tagging Studies; SURPH.1 Manual Supplement- Chapters 8-10, 1994 Technical Manual. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/891506.

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5

Tang, Yaxing, Lele Tang, Yuting Yao, He Huang, and Bing Chen. Effects of propofol-based total intravenous anesthesia versus inhalation anesthesia on long-term survival in patients undergoing cancer surgery: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0025.

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Review question / Objective: To compare the effects of propofol-based total intravenous anesthesia with inhalation anesthesia on long-term survival of cancer surgery. (1) Patients: all patients undergoing cancer surgery with intravenous or inhalation anesthesia. (2) Intervention: propofol-based total intravenous anesthesia. (3) Comparator: inhalation anesthesia. (4) Outcomes: overall survival, recurrence- free or disease-free survival. (5) Study design: randomized-controlled trials and observational studies (prospective or retrospective). Information sources: We will systematically search the following electronic databases (PubMed, Medline, Embase, and the Cochrane Library) from inception to July 2022 for eligible studies. Any potentially relevant studies will be manually searched based on the references of the identified studies.
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Lin, Zhezhen, Gege Wang, Fang Zhang, Yong Wang, Xue Gao, and Xi Ding. The survival rate of transcrestal sinus floor elevation combined with short implants: A systematic review and meta-analysis of observational studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2020. http://dx.doi.org/10.37766/inplasy2020.5.0092.

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7

Jafrin, Sarah, Md Abdul Aziz, and Mohammad Safiqul Islam. Elevated levels of pleiotropic interleukin-6 (IL-6) and interleukin-10 (IL-10) are critically involved with the severity and mortality of COVID-19: An updated longitudinal meta-analysis and systematic review on 147 studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0046.

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Review question / Objective: How were serum IL-6 and IL-10 linked with the severity and mortality of COVID-19 patients? To evaluate the role of IL-6 and IL-10 in the development of the severity or morality of COVID-19 patients. The outcomes (mean difference) were calculated between the severe vs. non-severe COVID-19 patients and non-survival vs. survival patients to evaluate the risk of severity or mortality. Condition being studied: Severity and mortality among the COVID-19 patients. Information sources: The international scientific authorized databases such as Google Scholar, PubMed, Embase, CNKI, Cochrane Library, and Web of science were used as primary sources to identify and collect the eligible literature. Additional secondary databases were also comprehensively searched to extract more related studies.
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Newman, Ken. The Design and Analysis of Salmonid Tagging Studies in the Columbia Basin : Volume II: Experiment Salmonid Survival with Combined PIT-CWT Tagging. Office of Scientific and Technical Information (OSTI), June 1997. http://dx.doi.org/10.2172/7043394.

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9

Skalski, John R., Albert E. Giorgi, and John R. Stevenson. Design and Analysis of Salmonid Tagging Studies in the Columbia Basin, Volume XI; Recommendations on the Design and Analysis of Radiotelemetry Studies of Salmonid Smolts to Estimate Survival and Passage Efficiencies, 1991-1998 Technical Report. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/10140.

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Wang, Qing, Zi-Xu Wang, Nasu M. Otomi, and Shinji Mine. Association between cutoffs for classifying high- and low-volume hospitals and long-term survival after eophagectomy: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0023.

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Review question / Objective: It is still unclear about the association between cutoffs for classifying high- and low-volume hospitals and long-term survival after esophagectomy for patients with esophageal cancer. Condition being studied: It remains controversial whether size of hospital volume influences long-term survival outcomes for patients with esophageal cancer after esophagectomy. In addition, there is still no consensus for defining a reasonable cutoff of esophagectomies per year for classifying high- and low-volume hospitals. Information sources: After the retrieval of the relevant articles, they were screened to remove the duplicates. Search results were screened by two authors (Q.W. and Z.X.W.) independently according to the titles and abstracts. Next, the retained studies were searched for their full text and further were screened according to the following criteria: surgery for esophageal carcinoma as the theme; primary outcomes included hospital volume and long-term OS; comparison of OS between high- and low-volume hospitals; original articles with informative data; articles reporting adjusted hazard ratios (HRs) in multi-variate analysis; and articles in which procedural volume was an exact cutoff. Any disagreements were resolved through consultation with the third author.
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