Biological Age vs. Chronological Age

Bhanot, Shiv; Naik, Pankaja; Gopalakrishanan, R; Salkar, D.M.; Naqashabandi, K.

doi:10.1016/j.eururo.2005.03.028

Cited by 7 publications

(6 citation statements)

References 3 publications

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“…But this may not always be true. Because it has been shown that chronological age is less important with the replacement of the concept of biological age 9 . With increased biological age, planned procedures and treatment schemes for cancer patients may vary, and treatment‐related toxicities may be detected more frequently.…”

Section: Discussionmentioning

confidence: 99%

Is temporal muscle thickness a survival predictor in newly diagnosed glioblastoma multiforme?

Çınkır

2020

Asia-Pac J Clncl Oncology

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Aim: Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor in adults. In this study, we aimed to show the relationship between temporal muscle thickness (TMT) measurement and survival in newly diagnosed patients with GBM. Methods: Forty-seven patients with newly diagnosed GBM were evaluated, retrospectively. TMT at diagnosis of GBM before any surgical procedure was measured on the contrast-enhanced axial longitudinal relaxation time (T1)-weighted magnetic resonance images. Overall survival (OS) was analyzed by the Kaplan-Meier method and log-rank test was used to determine the differences between the groups. The median TMT was used to determine the cutoff point. Results: The median TMT was 4.7 mm (range, 2.8-6.6) in females and 5.4 mm (range, 2.9-8.1) in males. Median survival for TMT < 4.9 mm was 12.9 ± 3.5 (95% CI, 6.0-19.8) months, and 39.4 ± 11.9 (95% CI, 16.0-62.8) months for TMT ≥ 4.9 (P = .023). In the multivariate Cox regression model, the TMT group (Hazard ratio [HR] = 2.07, 95% CI, 0.92-4.61, P = .032) and age group (HR = 2.18, 95% CI, 1.01-4.67, P = .014) showed statistically significant difference. Conclusion: TMT is not an independent predictor of response but a predictor of sarcopenia and survival in newly diagnosed GBM. TMT measurement is an easy and practical method. Survival prediction will provide useful information in GBM patients having poor prognosis.

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Section: Discussionmentioning

confidence: 99%

Is temporal muscle thickness a survival predictor in newly diagnosed glioblastoma multiforme?

Çınkır

2020

Asia-Pac J Clncl Oncology

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“…Remarkably, the value judgement provided by the attending physician is age-related and positive, in contrast to the surgeons’ negative age-related value judgement. The value judgement provided by this physician is based on the view that biological age as expressed through the vitality of the patient is a better foundation for medical decision-making than chronological age 1 2. If the surgeons visit him, they will probably agree.…”

Section: Resultsmentioning

confidence: 99%

Value judgements in the decision-making process for the elderly patient

et al. 2008

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The question of whether old age should or should not play a role in medical decision-making for the elderly patient is regularly debated in ethics and medicine. In this paper we investigate exactly how age influences the decision-making process. To explore the normative argumentation in the decisions regarding an elderly patient we make use of the argumentation model advanced by Toulmin. By expanding the model in order to identify normative components in the argumentation process it is possible to analyse the way that age-related value judgements influence the medical decision-making process. We apply the model to practice descriptions made by medical students after they had attended consultations and meetings in medical practice during their clinical training. Our results show the pervasive character of age-related value judgements. They influence the physician's decision in several ways and at several points in the decision-making process. Such explicit value judgements were not exclusively used for arguments against further diagnosis or treatment of older patients. We found no systematic "ageist" pattern in the clinical decisions by physicians. Since age plays such an important, yet hidden role in the medical decision-making process, we make a plea for revealing such normative argumentation in order to gain transparency and accountability in this process. An explicit deliberative approach will make the medical decision-making process more transparent and improve the physician-patient relationship, creating confidence and trust, which are at the heart of medical practice.

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“…Indeed, the choice and dosage of a treatment should be based on an individual’s biological age rather than their chronological age. 52 For example, a cross-sectional study demonstrated that 58 patients with type 1 diabetes mellitus had a significantly older vascular age, with an 8.8-year difference ( P < 0.001), and a higher cardiovascular disease risk stratification ( P < 0.001) than chronological age control individuals. 53 Therefore, approved dose reduction criteria must consider various biological components or factors, such as renal function, concomitant medication usage, and weight, although regional variations do exist across the approved DOAC labels ( Table 1 ).…”

Section: Evidence Of the Use Of Low-dose Doacs For Gray Area Patientsmentioning

confidence: 99%

Direct Oral Anticoagulant Dosing in Patients With Atrial Fibrillation

Chao,

Chan,

Chan

et al. 2023

JACC: Asia

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Biological Age vs. Chronological Age

Cited by 7 publications

References 3 publications

Is temporal muscle thickness a survival predictor in newly diagnosed glioblastoma multiforme?

Is temporal muscle thickness a survival predictor in newly diagnosed glioblastoma multiforme?

Value judgements in the decision-making process for the elderly patient

Direct Oral Anticoagulant Dosing in Patients With Atrial Fibrillation

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