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1.
Patient ; 15(4): 445-457, 2022 07.
Artigo em Inglês | MEDLINE | ID: mdl-34854064

RESUMO

BACKGROUND: It can be challenging to measure quality of life to calculate quality-adjusted life-years in recurrent fluctuating health states, as quality of life can constantly change. It is not clear how patients who experience fluctuations complete measures and how assessment timing and recall influence responses. OBJECTIVE: We aimed to understand how patients with fluctuating health complete widely recommended and commonly used measures (EQ-5D-5L, EORTC QLQ-C30 and SF-12) and the extent to which the recall period ('health today', 'past week' and 'past 4 weeks') and timing of assessment influence the way that patients complete these questionnaires. METHODS: Twenty-four adult patients undergoing chemotherapy for urological, gynaecological or bowel cancers in the UK participated in think-aloud interviews, while completing the measures, completed a pictorial task illustrating how quality of life changed during the chemotherapy cycle and took part in semi-structured interviews. Transcripts were analysed using constant comparison. RESULTS: Patients were consistent in describing their quality of life as changing considerably throughout a chemotherapy cycle. The shorter recall period of 'health today' does not adequately represent patients' quality of life because of fluctuations, patients remarked they could give a different answer depending on the timing of assessment, and many struggled to combine the "ups and downs" to answer measures with longer recall ('past week' and 'past 4 weeks'). Across all measures, patients attempted to provide averages, adopt the peak-end rule or focus on the best part of their experience. Patients commonly used more than one approach when completing a given questionnaire as well as across questionnaires. CONCLUSIONS: Patients who experience recurrent fluctuations in health are unable to provide meaningful responses about their quality of life when completing quality-of-life measures due to the recall period and timing of assessment. The use of such responses to calculate health state values in economic evaluations to inform resource allocation decisions in fluctuating conditions must be questioned.


Assuntos
Qualidade de Vida , Adulto , Análise Custo-Benefício , Humanos , Anos de Vida Ajustados por Qualidade de Vida , Inquéritos e Questionários
2.
Proc Natl Acad Sci U S A ; 107(17): 7858-62, 2010 Apr 27.
Artigo em Inglês | MEDLINE | ID: mdl-20368424

RESUMO

The role of transforming growth factor beta receptor type 1 (TGFBR1) polymorphisms, particularly a coding CGC insertion (rs11466445, TGFBR1*6A/9A) in exon 1, has been extensively investigated in regard to colorectal cancer (CRC) risk. These investigations have generated conflicting results. More recently, allele-specific expression (ASE) of TGFBR1 mRNA has been suggested as predisposing to CRC, with a relative risk of nearly 10-fold and a population attributable risk of approximately 10%. Owing to the potential importance of TGFBR1 variants in CRC, we performed a comprehensive examination of tagging SNPs at and around the gene in 3,101 CRC cases and 3,334 controls of northern European ancestry. To test whether rare or subpolymorphic TGFBR1 variants were associated with CRC risk, we sequenced the gene's exons in a subset of patients. We also evaluated TGFBR1 ASE in a panel of CRC cases and controls. Overall, we found no association between TGFBR1 polymorphisms and CRC risk. The rare variant screen did not identify any changes of potentially pathogenic effects. No evidence of greater ASE in cases than controls was detected, and no haplotype around TGFBR1 could account for the ASE reported in other studies. We conclude that neither genetic variation nor ASE at TGFBR1 is likely to be a major CRC risk factor.


Assuntos
Neoplasias Colorretais/genética , Predisposição Genética para Doença/genética , Variação Genética , Fator de Crescimento Transformador beta1/genética , Sequência de Bases , Primers do DNA/genética , Éxons/genética , Genótipo , Humanos , Mutação INDEL/genética , Desequilíbrio de Ligação , Modelos Logísticos , Dados de Sequência Molecular , Polimorfismo de Nucleotídeo Único/genética , Análise de Sequência de DNA , População Branca/genética
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