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1.
J Endocrinol Invest ; 38(5): 497-503, 2015 May.
Article in English | MEDLINE | ID: mdl-25480425

ABSTRACT

BACKGROUND: Gonadotropins are protein hormones which are central to the complex endocrine system that regulates normal growth, sexual development, and reproductive function. There is still a lively debate on which type of gonadotropin medication should be used, either human menopausal gonadotropin or recombinant follicle-stimulating hormone. The objective of the study was to perform a systematic review of the recent literature to compare recombinant follicle-stimulating hormone to human menopausal gonadotropin with the aim to assess any differences in terms of efficacy and to provide a cost evaluation based on findings of this systematic review. METHODS: The review was conducted selecting prospective, randomized, controlled trials comparing the two gonadotropin medications from a literature search of several databases. The outcome measure used to evaluate efficacy was the number of oocytes retrieved per cycle. In addition, a cost evaluation was performed based on retrieved efficacy data. RESULTS: The number of oocytes retrieved appeared to be higher for human menopausal gonadotropin in only 2 studies while 10 out of 13 studies showed a higher mean number of oocytes retrieved per cycle for recombinant follicle-stimulating hormone. The results of the cost evaluation provided a similar cost per oocyte for both hormones. CONCLUSIONS: Recombinant follicle-stimulating hormone treatment resulted in a higher oocytes yield per cycle than human menopausal gonadotropin at similar cost per oocyte.


Subject(s)
Follicle Stimulating Hormone, Human , Menotropins , Outcome Assessment, Health Care , Ovulation Induction , Female , Follicle Stimulating Hormone, Human/economics , Follicle Stimulating Hormone, Human/therapeutic use , Humans , Menotropins/economics , Menotropins/therapeutic use , Outcome Assessment, Health Care/economics , Ovulation Induction/economics , Ovulation Induction/methods
2.
J Comput Biol ; 10(5): 791-802, 2003.
Article in English | MEDLINE | ID: mdl-14633400

ABSTRACT

Genomes can be described as a collection of clusters, the gene families, whose members are called paralogs. Paralogs are genes that most probably share duplication history and show a significant similarity in their sequences, even if they perform slightly different biological function. Among the different mechanisms that have led to an increase of the genomic information during biological evolution, gene duplication is probably the most important. To better understand duplication events, the first step is to investigate the history of the gene families in order to detect which duplication events have taken place, and in which relative (partial) order. Here we present a method, called PaTre, that, given a gene family, attempts to construct the paralogy tree of the family. We will work under the hypothesis that every family member derives from a duplication process of another member. By the term paralogy tree, we mean a directed tree in which the root represents the most ancient paralog of the family and each oriented arc (a, b) represents the existence of a duplication event from the template gene a to its copy b. Notice that gene a survives the event and can serve as a template of more than one duplication event; in fact, there can be more than one arc leaving a. PaTre uses new algorithmic techniques motivated by the specific application at hand. The reliability of the inferential process has been tested by means of a simulator that implements different hypotheses on the duplication-with-modification paradigm and on three examples of different biological gene families, belonging either to lower and higher organisms.


Subject(s)
Decision Trees , Genome , Models, Genetic , Arabidopsis/genetics , Chromosome Mapping/methods , Computational Biology/methods , Computer Simulation , Histones/genetics , Mycoplasma pneumoniae/genetics , Phylogeny , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae Proteins/genetics , Templates, Genetic
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