Conflicts of interest in recommendations to use computerized neuropsychological tests to manage concussion in professional football codes

Neuroscience research has improved our understanding of the long term consequences of sports-related concussion, but ethical issues related to the prevention and management of concussion are an underdeveloped area of inquiry. This article exposes several examples of conflicts of interest that have arisen and been tolerated in the management of concussion in sport (particularly professional football codes) regarding the use of computerized neuropsychological (NP) tests for diagnosing concussion. Part 1 outlines how the recommendations of a series of global protocols for dealing with sports-related concussions (the 1st, 2nd and 3rd Consensus Statements on Concussion in Sport) have endorsed the use of NP testing. The development of these protocols has involved experts who have links with companies that sell computerised NP tests for concussion management. Part 2 describes how some professional football leagues-in particular the National Football League (NFL), the Australian Football League (AFL) and the National Rugby League (NRL)-have mandated specific NP testing products. They have done so on the basis of these international guidelines and by engaging experts who have conflicts of interest with NP testing companies. These decisions have also been taken despite evidence that casts doubt on the reliability and validity of NP tests when used in these ways

Energy balance in patients with advanced NSCLC, metastatic melanoma and metastatic breast cancer receiving chemotherapy - A longitudinal study

Chemotherapy exerts a variable effect on nutritional status. It is not known whether loss of body fat or fat-free mass (FFM) during chemotherapy relates to diminished dietary intake, failure to meet elevated energy requirements, or to the presence of an acute-phase response. We sought to determine prospective measurements of body mass and composition, resting energy expenditure, energy and protein intake, and C-reactive protein over a course of chemotherapy in 82 patients with advanced cancer. There was a large dropout from the study. Prospective measurements were obtained in 19 patients with non-small-cell lung cancer (NSCLC), 12 with metastatic melanoma and 10 with metastatic breast cancer. There were significant increases in energy intake among patients with metastatic breast cancer, 873 (266–1480) kJ (mean 95% CI; P<0.01), and metastatic melanoma, 2513 (523–4503) kJ (P<0.01). Breast cancer patients gained percentage body fat over the course of treatment, 2.1 (0.8–3.5%). Gain or loss of body fat correlated to mean energy intake throughout chemotherapy in patients with NSCLC (Rs=0.751; P<0.01) and metastatic breast cancer (Rs=0.617; P<0.05). The ability to meet or exceed energy requirements led to gains in body fat among patients with metastatic breast cancer and NSCLC, but did not prevent loss of FFM in these groups

Allometric scaling of xenobiotic clearance: Uncertainty versus universality

Statistical analysis and Monte Carlo simulation were used to characterize uncertainty in the allometric exponent (b) of xenobiotic clearance (CL). CL values for 115 xenobiotics were from published studies in which at least 3 species were used for the purpose of interspecies comparison of pharmacokinetics. The b value for each xenobiotic was calculated along with its confidence interval (CI). For 24 xenobiotics (21%), there was no correlation between log CL and log body weight. For the other 91 cases, the mean±standard deviation of the b values was 0.74±0.16; range: 0.29 to 1.2. Most (81%) of these individual b values did not differ from either 0.67 or 0.75 at P=0.05. When CL values for the subset of 91 substances were normalized to a common body weight coefficient (a), the b value for the 460 adjusted CL values was 0.74; the 99% CI was 0.71 to 0.76, which excluded 0.67. Monte Carlo simulation indicated that the wide range of observed b values could have resulted from random variability in CL values determined in a limited number of species, even though the underlying b value was 0.75. From the normalized CL values, 4 xenobiotic subgroups were examined: those that were (i) protein, and those that were (ii) eliminated mainly by renal excretion, (iii) by metabolism, or (iv) by renal excretion and metabolism combined. All subgroups except (ii) showed a b value not different from 0.75. The b value for the renal excretion subgroup (21 xenobiotics, 105 CL values) was 0.65, which differed from 0.75 but not from 0.67