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11篇 您的检索式:作者名="Chalapati"
    题名 作者 年代 出处 被引量
1Prediction of sulphur dioxide concentration using artificial neural networks显示文摘CHELANI A B CHALAPATI R C V Phadke K M 2002Environmental Modelling & Software2002,,17:1
2Detection?of recurrence in a surveillance program for epithelial ovarian cancer显示文摘Suprasert P Chalapati W 2013Asian Pac J Cancer Prev2013,14,12:1
3Evaluating national cause-of-death statistics : Principles and application to the case of Chi- na显示文摘CHALAPATI R ALAN D GONGHUAN Y 2005Bull World Health Organ2005,83,8:1
4Vehicular pollution prediction modelling: A review of highway dispersion models 显示文摘SHARMA N CHADHRY K K CHALAPATI RAO C V 2004Transport Reviews2004,24,4:1
5Effects of hormonalcontraceptives on milk volume and infant growth: WHO special program of research and development and research training in human reproduction 显示文摘Tankeyoon M Dusitsin N Chalapati S 1984Contraception1984,30,6:1
6Validation of verbal autopsy procedures for adult deaths in China显示文摘Gonghuan Yang Chalapati Rao Alan D Lopez 2005Int J Epidemiol2005,35,3:1
7PAHs in Road Dust: Ubiquity, Fate, and Summary of Available Data显示文摘Deepanjan Majumdar Bhargavi Rajaram Shweta Meshram C.V. Chalapati Rao 2012Critical Reviews in Environmental Science and Technology2012,,12:1
8Assessment of atmospheric assimilation potential for industrial development in an urban environment: Kochi (India) 显示文摘GOYAL S K CHALAPATI R C V 2007Science of the Total Environment2007,376,123:1
9Evaluating national cause of death statistics: principles and application tit h case of China显示文摘Chalapati Rao Alan D Lopez Gonghuan Yang etal 2005Bull World Health Organ2005,83,8:1
10Validation of verbal autopsy procedures for adult deaths in China显示文摘Gonghuan Yang Chalapati Rao Jiemin Ma 2006Int J Epidemiol2006,35,3:1
11Evaluating the quality of evidence for diagnosing ischemic heart disease from verbal autopsy in Indonesia显示文摘BACKGROUND Mortality and cause of death data are fundamental to health policy development.Civil Registration and Vital Statistics systems are the ideal data source,but the system is still under development in Indonesia.A national Sample Registration System(SRS)has provided nationally representative mortality data from 128 subdistricts since 2014.Verbal autopsy(VA)is used in the SRS to obtain causes of death.The quality of VA data must be evaluated as part of the SRS data quality assessment.AIM To assess the strength of evidence used in the assignment of Ischaemic Heart Disease(IHD)as causes of death from VA.METHODS The sample frame for this study is the 4,070 deaths that had IHD assigned as the underlying cause in the SRS 2016 database.From these,400 cases were randomly selected.A data extraction form and data entry template were designed to collect relevant data about IHD from VA questionnaires.A standardised categorisation was designed to assess the strength of evidence used to infer IHD as a cause of death.A pilot test of 50 cases was carried out.IBM SPSS software was used in this study.RESULTS Strong evidence of IHD as a cause of death was assigned based on surgery for coronary heart disease,chest pain and two out of:sudden death,history of heart disease,medical diagnosis of heart disease,or terminal shortness of breath.More than half(53%)of the questionnaires contained strong evidence.For deaths outside health facilities,VA questionnaires for male deaths contained acceptable evidence in significantly higher proportions as compared to those for female deaths.(P<0.001).Nearly half of all IHD deaths were concentrated in the 50-69 year age group(48.40%),and a further 36.10%were aged 70 years or more.Nearly two-thirds of the deceased were male(58.40%).Smoking behaviour was found in 44.11%of IHD deaths,but this figure was 73.82%among males.CONCLUSION More than half of the VA questionnaires from the study sample were found to contain strong evidence to infer IHD as the cause of death.Results from medical records such as electrocardiograms,coronary angiographies,and load tests could have improved the strength of evidence and contributed to IHD cause of death diagnosis.Wenrong Zhang Yuslely Usman Retno Widyastuti Iriawan Merry Lusiana Sha Sha Matthew Kelly Chalapati Rao 2019World Journal of Cardiology2019,11,10:0
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