Citations

Abstract Hepatocellular carcinoma (HCC) has emerged as a major cause of cancer deaths globally. The landscape of systemic therapy has recently changed, with six additional systemic agents either approved or awaiting approval for advanced stage HCC. While these agents have the potential to improve outcomes, a survival increase of 2–5 months remains poor and falls short of what has been achieved in many other solid tumor types. The roles of genomics, underlying cirrhosis, and optimal use of treatment strategies that include radiation, liver transplantation, and surgery remain unanswered. Here, we discuss new treatment opportunities, controversies, and future directions in managing HCC.

PURPOSE: We aimed to better understand how similarly patients with colorectal cancer and caregivers view care quality and to assess factors that may influence concordance. MATERIALS AND METHODS: We conducted a secondary analysis of paired patient and caregiver quality ratings of colorectal cancer care in three specific domains: surgery, chemotherapy overall, and chemotherapy nursing. Agreement was assessed with difference scores, concordance with Gwet second-order agreement statistics (AC2), and variation in agreement with stratified analyses. We examined whether the care experiences of patients and caregivers were associated with top-box (most-positive) ratings and examined variations in concordance on the basis of the presence of a top-box score. RESULTS: Four hundred seventeen patient-caregiver dyads completed the surveys. Quality-of-care ratings were positively skewed, with most dyads indicating top-box ratings. Patient and caregiver care experiences were highly associated with top-box ratings. Overall patient-caregiver concordance was very high for all three care domains (surgery: AC2, 0.87 [95% CI, 0.83 to 0.90]; chemotherapy overall: AC2, 0.84 [95% CI, 0.79 to 0.88]; chemotherapy nursing: AC2, 0.91 [95% CI, 0.87 to 0.94]). Stratified analyses of patient and caregiver characteristics did not identify any patterns that consistently affected concordance. The concordance statistic significantly decreased for all three outcomes ( P < .001), however, when the patient or caregiver assessed quality as anything other than top box. CONCLUSION: Caregiver and patient reports on care quality were highly concordant for top-box care and did not vary with patient or caregiver factors. Additional exploration is needed to identify reasons for increased variability when the quality scores were less than a top-box response.

Background: Variations in cardiac troponin concentrations by age, sex, and time between samples in patients with suspected myocardial infarction are not currently accounted for in diagnostic approaches. We aimed to combine these variables through machine learning to improve the assessment of risk for individual patients. Methods: A machine learning algorithm (myocardial-ischemic-injury-index [MI 3 ]) incorporating age, sex, and paired high-sensitivity cardiac troponin I concentrations, was trained on 3013 patients and tested on 7998 patients with suspected myocardial infarction. MI 3 uses gradient boosting to compute a value (0–100) reflecting an individual’s likelihood of a diagnosis of type 1 myocardial infarction and estimates the sensitivity, negative predictive value, specificity and positive predictive value for that individual. Assessment was by calibration and area under the receiver operating characteristic curve. Secondary analysis evaluated example MI 3 thresholds from the training set that identified patients as low risk (99% sensitivity) and high risk (75% positive predictive value), and performance at these thresholds was compared in the test set to the 99th percentile and European Society of Cardiology rule-out pathways. Results: Myocardial infarction occurred in 404 (13.4%) patients in the training set and 849 (10.6%) patients in the test set. MI 3 was well calibrated with a very high area under the receiver operating characteristic curve of 0.963 [0.956–0.971] in the test set and similar performance in early and late presenters. Example MI 3 thresholds identifying low- and high-risk patients in the training set were 1.6 and 49.7, respectively. In the test set, MI 3 values were <1.6 in 69.5% with a negative predictive value of 99.7% (99.5–99.8%) and sensitivity of 97.8% (96.7–98.7%), and were ≥49.7 in 10.6% with a positive predictive value of 71.8% (68.9–75.0%) and specificity of 96.7% (96.3–97.1%). Using these thresholds, MI 3 performed better than the European Society of Cardiology 0/3-hour pathway (sensitivity, 82.5% [74.5–88.8%]; specificity, 92.2% [90.7–93.5%]) and the 99th percentile at any time point (sensitivity, 89.6% [87.4–91.6%]); specificity, 89.3% [88.6–90.0%]). Conclusions: Using machine learning, MI 3 provides an individualized and objective assessment of the likelihood of myocardial infarction, which can be used to identify low- and high-risk patients who may benefit from earlier clinical decisions. Clinical Trial Registration: URL: https://www.anzctr.org.au . Unique identifier: ACTRN12616001441404.

AbstractBackgroundReflecting (“stop‐and‐think”) before rating may help patients consider the quality of shared decision making (SDM) and mitigate ceiling/halo effects that limit the performance of self‐reported SDM measures.MethodsWe asked a diverse patient sample from the United States to reflect on their care before completing the 3‐item CollaboRATE SDM measure. Study 1 focused on rephrasing CollaboRATE items to promote reflection before each item. Study 2 used 5 open‐ended questions (about what went well and what could be improved upon, signs that the clinician understood the patient's situation, how the situation will be addressed, and why this treatment plan makes sense) to invite reflection before using the whole scale. A linear analogue scale assessed the extent to which the plan of care made sense to the patient.ResultsIn Study 1, 107 participants completed surveys (84% response rate), 43 (40%) rated a clinical decision of which 27 (63%) after responding to reflection questions. Adding reflection lowered CollaboRATE scores (“less” SDM) and reduced the proportion of patients giving maximum (ceiling) scores (not statistically significant). In Study 2, 103 of 212 responders (49%) fully completed the version containing reflection questions. Reflection did not significantly change the distribution of CollaboRATE scores or of top scores. Participants indicated high scores on the sense of their care plan (mean 9.7 out of 10, SD 0.79). This rating was weakly correlated with total CollaboRATE scores (rho = .4, P = .0001).ConclusionReflection‐before‐quantification interventions may not improve the performance of patient‐reported measures of SDM with substantial ceiling/halo effects.

Abstract Harty, PS, Zabriskie, HA, Stecker, RA, Currier, BS, Moon, JM, Richmond, SR, Jagim, AR, and Kerksick, CM. Position-specific body composition values in female collegiate rugby union athletes. J Strength Cond Res 35(11): 3158–3163, 2021—Rugby union is a full-contact, intermittent team sport. Anthropometric characteristics of rugby union athletes have been shown to influence suitability for a given position and affect performance. However, little anthropometric data exist in female rugby union athletes. Thus, the purpose of this study was to report position-specific anthropometric, body composition, and bone density values in female collegiate rugby union athletes and to identify between-position differences in these variables. This investigation was a cross-sectional study involving 101 female collegiate rugby union athletes, categorized as forwards and backs as well as by position (props, hookers, locks, flankers, number 8 forwards, halfback, fly-half, centers, wings, and fullbacks). Anthropometric characteristics of all athletes were measured, and body composition was assessed via dual-energy x-ray absorptiometry. Outcome variables included age, height, body mass, BMI, body fat percentage, fat mass (FM), FM index, fat-free mass (FFM), FFM index, lean soft tissue, bone mineral content, bone mineral area, and bone mineral density. Anthropometric and body composition differences between forwards and backs were identified via independent t -tests and Mann-Whitney U tests, depending on normality of the variable. Between-position differences were assessed using one-way analysis of variances (ANOVAs) with Tukey post-hoc comparisons or Welch's ANOVA with Dunnett's T3 post-hoc test. Significant differences ( p < 0.014) were identified between forwards and backs for every anthropometric variable, with forwards displaying greater height (167.7 ± 7.2 cm), body mass (81.5 ± 15.1 kg), and body fat percentage (28.2 ± 6.1%) relative to backs (164.5 ± 5.1 cm; 64.5 ± 7.7 kg; 21.9 ± 3.7%). Likewise, significant differences were identified for every anthropometric variable between several positions ( p < 0.01). Significant ( p < 0.05) interposition differences were identified within the subgroup of forwards, but not within the subgroup of backs. The present investigation is the first to report position-specific anthropometric and body composition data in female collegiate rugby union athletes. The results of this study can be used by rugby union coaches for recruiting and personnel decisions, to determine a player's suitability for a given position, and to further inform training and nutritional interventions in this population.

Chronic pain and subfertility are the main symptoms of concern in women with endometriosis. In order to find new therapeutic options to suppress the pain, translational animal models are indispensable. We have developed a new automated, experimental setup, with full consideration for animal wellbeing, to determine whether operant behaviour can reveal abdominal hyperalgesia in rats with surgically-induced endometriosis, in order to assess whether abdominal hyperalgesia affect behavioural parameters. Endometriosis was induced by transplantation of uterine fragments in the abdominal cavity. Control groups consisted of sham-operated rats and non-operated rats. We have developed an operant chamber (Skinnerbox) which includes a barrier. The rat can climb the barrier in order to reach the food pellet, increasing in this way the pressure to the abdomen. We show that endometriosis rats collect significantly less sugar pellets when compared with the control rats after the introduction of the barrier. In the Skinnerbox experiment, we showed that in a positive operant setting, the introduction of a barrier results in a contrast of operant behaviour of endometriosis rats and control groups, perchance as a result of abdominal discomfort/hyperalgesia due to surgically-induced endometriosis. This is a promising start for the further development of a refined animal model to monitor abdominal discomfort/hyperalgesia in rats with surgically-induced endometriosis.