Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Life Table Method”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 109 records · Page 6Linked to original sources

The infant mortality rate, life expectancy at birth, and a linear index of mortality as measures of general health status.

The infant mortality rate is not a good indicator of overall mortality or health status. Based on new empirical life tables from the UN Population Division, it can only predict life expectancy with 95% confidence to within a 14-year range. Two infant mortality rates must be nearly 80 units apart to be 95% confident that life expectancy in the two communities is different. Life expectancy itself is not an ideal general measure of mortality, because it implicitly weights deaths at different ages in an inconsistent fashion. A measure of potential years of life lost is preferable because it is ethically more consistent.

Adolescent↗

A fetal-infant life table based on single births in Norway, 1967--1973.

The study is based on 440,452 single births occurring in Norway, 1967--1973, with known gestational age. The information was collected through a notification system known as "Medical Registration of Births," covering all births occurring in Norway, and the data are made available through the Medical Birth Registry of Norway, which allows for linkage between births and infant deaths. The life table describes the experience of women still pregnant at a gestational age of 16 completed weeks, and states for each subsequent week the number of pregnancy terminations, the outcome, and the number of women still pregnant. Seven outcomes of pregnancy are considered: fetal death prior to labor, fetal death during labor, death within 24 hours, death 1--6 days, death 7--27 days, death 28 days--1 year, and survival of one year or more. The data in the life table provide information on the probability of pregnancy termination in each week of gestation (after 16 completed weeks), and the probabilities of the various outcomes. The fetal-infant life table is considered as an extension of descriptive perinatal statistics and is of value in monitoring health changes and in comparing perinatal mortality between populations. It also provides information on time of pregnancy termination and outcome, which has some clinical applications.

Adult↗

[Not Available].

Explore the source record for details and available documents.

Death↗

[Not Available].

Explore the source record for details and available documents.

Child Welfare↗

[The correlation between the clinical stage and multimodal treatment in breast cancer expressed in the 5-year survival rate].

The survival rate in 143 patients with breast cancer followed up for 60 months has been evaluated by the regression Cox method and life table method, a number of representative variables for tumor and/or host being taken into account. The Cox model coefficients pointed out the following factors to positively influence the survival: age, premenopausal status, surgery, radiotherapy and complete chemotherapy (6-12 cycles). Negative and highly negative values recorded within variables: tumor over 5 cm, the presence of metastases, Karnofsky index less than 80 and the postmenopausal status generally correlated with the disease in advanced clinical stages. An apparently better survival in patients who underwent radiotherapy as compared to those who underwent an associated radiochemotherapy could be the result of the preferential associated treatment in advanced stages. The optimal intensity of chemotherapy positively influences the survival, except in late stages, suggesting the necessity of chemotherapy in initial stages.

Age Factors↗

Active life among the elderly in the United States: multistate life-table estimates and population projections.

Calculations of multistate life expectancy not only measure how long a population may live beyond a certain age, but also what fractions of this continuing lifetime will be spent in an independent or dependent status. Many Americans aged 70 and over are leading long, active lives; large numbers of individuals who become dependent, moreover, do so temporarily and return to independent status. Men and women have disparate total and active life expectancies, however, reflecting differential survival patterns and varying rates of transition among statuses. Policy makers must consider the increased size of the future elderly population, and changes in its age composition and functional status, when planning relevant health services.

Activities of Daily Living↗

The global impact of noncommunicable diseases: estimates and projections.

With the aging of populations in developing countries there is both a demographic and an epidemiological transition which affects the impact of chronic degenerative diseases on the health status of the populations. Demographic transition takes place in countries where there are effective programmes of disease control which allow for survival during the early years of childhood and adolescence. This results in an increase in life expectancy which places larger proportions of the population in the age range (60 years and older) in which chronic degenerative diseases become the major determinants of health status. Epidemiological transition in diseases may also be brought about by shifts in social and economic patterns which favour detrimental changes in risk factors for the chronic degenerative diseases. Such changes may include health-related behaviour which augments dietary consumption of fats and alcohol, increases obesity, increases smoking and decreases physical activity. Such changes in risk-factor levels increase the prevalence of chronic degenerative diseases which manifest themselves at later ages, and for which early preventive actions could be cost-effective. In order to illustrate the impact of both demographic and risk-factor effects, analyses are made of the impact of increases in life expectancy on cause-specific mortality in both developing and developed countries. It is shown that there is great similarity in the effect of major noncommunicable diseases on the life expectancy of adults in both developed and developing countries. The major differences are seen to be in the proportions of deaths expected from such diseases as cancer, diabetes, heart disease, stroke and cirrhosis; but not in the distribution of age at death which is the better measure of disease impact. Demographic analyses, computing indirect estimates of mortality, also demonstrate that there are currently more chronic disease deaths in developing than developed countries and that as expectation of life increases in developing countries the global chronic disease burden will be greatly concentrated in the developing countries. Analyses of risk-factor reduction by feasible intervention strategies, e.g. smoking cessation campaigns, treatment of high blood pressure, using relationships between risk factors and diseases established in longitudinal studies carried out in developed countries, point out that the effect of risk-factor control in long-living populations can be hidden by the dependency of risk factors and various related causes of death, e.g. smoking has an impact on lung cancer, ischaemic heart disease and emphysema, but at different ages.(ABSTRACT TRUNCATED AT 400 WORDS)

Actuarial Analysis↗

[Estimation of survival rates: technics used (author's transl)].

The direct method and life-table methods (actuarial and Kaplan-Meier) for estimating survival rates are described here. The difference between direct method and lifetable method is the use of information about the patients who are still alive. Practical examples of calculation are given with recommandations for graphical displays.

Actuarial Analysis↗

Life-table analysis of IUDs: problems and recommendations.

Two major prospective studies of copper-bearing IUDs showed substantial changes in termination rates when calculated at different dates. One of the studies employed the Tietze life-table method and showed progressive increases in termination rates with the passage of time. The other study used the Potter life-table method and showed sharply decreased termination rates at later assessments. In investigating the reasons for these changes, it was noted that the data collected for periodic analyses during the studies violated the assumptions underlying the life-table technique. It was discovered that as a result of these violations the Potter and the Tietze life-table calculations based on the same set of data produced markedly different estimates of IUD termination rates during the course of a study. Underlying these differences, and the reason for the apparent changes in termination rates, was a large set of incomplete observations. Neither of the two life-table methods was able to deal adequately with the biases arising from these incomplete observations. The "anniversary method," devised to overcome the perceived problems of the Potter and Tietze methods, also proved inadequate to deal with the incomplete observations. Only vigorous and active follow-up, together with ample time to complete data collection, editing, coding, and key punching, is likely to reduce the proportion of women with incomplete observations and is likely to minimize the biases attendant upon incomplete or partial observations of acceptors in prospective clinical studies of IUDs.

Evaluation Studies as Topic↗

Life-table analysis of abstinence in a study evaluating the efficacy of disulfiram.

Data from a study evaluating the efficacy of disulfiram for the treatment of alcoholism were analyzed by life-table methods. Previous analysis by more commonly used statistical tests showed a trend favoring disulfiram treatment, but the results were not statistically significant. Life-table methods are the appropriate techniques for analyzing longitudinal studies because they evaluate response to treatment over time rather than at one point in time. Analysis of our data using these methods revealed that disulfiram, combined with medical care and counseling, was superior to medical care and counseling alone in 128 men followed for 1 yr. This report demonstrates: (A) the advantage of life-table methods for evaluating treatment outcome data in alcoholism studies; and (B) the importance of disulfiram treatment in alcoholic patients similar to those we studied.

Actuarial Analysis↗

Construction of expanded continuous life tables--a generalization of abridged and complete life tables.

This article extends the recent abridged life-table method of Hsieh. It generalizes the conventional discrete (abridged and complete) life tables into a continuous life table that can produce life-table functions at any age and develops a unified method of life-table construction that simplifies the disparate laborious procedures used in the traditional approach of constructing abridged and complete life tables. A set of precise procedures based on the complete cubic spline for the main body of the table and a mortality law for advanced ages is developed for estimating the basic and nonbasic life-table functions from a given mortality schedule. The proposed method can also produce more life-table functions than other existing methods. The method is illustrated with Canadian data.

Humans↗

Survival rates with uveal melanoma in the United States: 1973-1997.

PURPOSE: To determine variations in 5-year relative survival rates with primary uveal melanoma in the United States over a 25-year period from 1973 to 1997. DESIGN: Systematic review of existing databases. PARTICIPANTS: Two thousand four hundred ninety-three patients with primary uveal melanoma, International Classification of Oncology [ICDO-2] codes C69.3 [choroid melanoma] and C69.4 [ciliary body and iris]) derived from Surveillance, Epidemiology, and End Results (SEER) program database in the United States from 1973 to 1997. METHODS: The patients were stratified according to the treatment (surgery or radiotherapy). The relative 5-year survival was calculated for 2054 patients diagnosed between 1973 and 1993 by the life table method using US life expectancy tables. MAIN OUTCOME MEASURES: The relative 5-year survival rate. RESULTS: Surgical treatment was performed in 1476 (72%) cases, and radiotherapy was given in 300 (15%) cases. The proportion of cases treated by radiotherapy increased progressively from 2% to 28% in 20 years. Relative 5-year survival rates ranged from 77% to 84% without a statistically significant variation. CONCLUSIONS: Advances made in the local methods of treatment of primary uveal melanoma have not led to an improvement in survival. Systemic approaches to management of uveal melanoma are warranted.

Adolescent↗