Harm Caused by Consumers

The chapter analytically reviews research on the associations between, on the one hand, pornography consumption and, on the other, sexual aggression, attitudes promoting or trivializing violence against women, and sex purchasing. A positive association is found. The complementary methods used to draw causal inferences are illuminated: experiments, naturalistic observations (longitudinal and cross-sectional), and qualitative studies. Mechanisms that explain the effects of nonviolent pornography include subordination and dehumanization of women, targeting of perceived promiscuity, and imitation with unwilling partners. Results are corroborated across studies with samples drawn from the general population, youth, battered women, sex purchasers, and prostituted persons. It is shown how studies that control for variables and moderators such as hostility and promiscuity, which are not independent of the causal variable, likely underestimate pornography’s effects (a problem called post-treatment bias). Additionally, causal overdetermination and other problems in aggregated crime report studies are addressed (e.g., trivialization caused by pornography).

Traumatic brain injury—the effects of patient age on treatment intensity and mortality

Background Ageing is associated with worse treatment outcome after traumatic brain injury (TBI). This association may lead to a self-fulfilling prophecy that affects treatment efficacy. The aim of the current study was to evaluate the role of treatment bias in patient outcomes by studying the intensity of diagnostic procedures, treatment, and overall 30-day mortality in different age groups of patients with TBI. Methods Included in this study was consecutively admitted patients with TBI, aged ≥ 15 years, with a cerebral CT showing intracranial signs of trauma, during the time-period between 2015–2018. Data were extracted from our prospective quality control registry for admitted TBI patients. As a measure of management intensity in different age groups, we made a composite score, where placement of intracranial pressure monitor, ventilator treatment, and evacuation of intracranial mass lesion each gave one point. Uni- and multivariate survival analyses were performed using logistic multinomial regression. Results A total of 1,571 patients with TBI fulfilled the inclusion criteria. The median age was 58 years (range 15–98), 70% were men, and 39% were ≥ 65 years. Head injury severity was mild in 706 patients (45%), moderate in 437 (28%), and severe in 428 (27%). Increasing age was associated with less management intensity, as measured using the composite score, irrespective of head injury severity. Multivariate analyses showed that the following parameters had a significant association with an increased risk of death within 30 days of trauma: increasing age, severe comorbidities, severe TBI, Rotterdam CT-score ≥ 3, and low management intensity. Conclusion The present study indicates that the management intensity of hospitalised patients with TBI decreased with advanced age and that low management intensity was associated with an increased risk of 30-day mortality. This suggests that the high mortality among elderly TBI patients may have an element of treatment bias and could in the future be limited with a more aggressive management regime.

Fixed Effects and Post-Treatment Bias in Legacy Studies

A growing literature examines how historical institutions influence contemporary political attitudes and behavior. Recent work has argued that these studies need to properly account for spatial heterogeneity by incorporating regional fixed effects. Here, we discuss the theoretical and empirical obstacles that have to be addressed to properly incorporate fixed effects in legacy studies. We illustrate our arguments using Pepinsky et al.'s (2020) reassessment of a recent study on the long-term effects of concentration camps in Germany (Homola et al. 2020). We show that Pepinsky et al. incorporate fixed effects incorrectly and, as a result, their analysis suffers from post-treatment bias. We further demonstrate that results from the original article remain substantively the same when we incorporate regional fixed effects correctly. Finally, simulations reveal that camp proximity consistently outperforms spatially correlated noise in this specific study.

Traumatic brain injury - the effects of patient age on treatment intensity and mortality

Background Ageing is associated with worse treatment outcome after traumatic brain injury (TBI). This association may lead to a self-fulfilling prophecy that affects treatment efficacy. The aim of the current study was to evaluate the role of treatment bias in patient outcomes by studying the intensity of diagnostic procedures, treatment, and overall 30-day mortality in different age groups of patients with TBI. Methods Included in this study was consecutively admitted patients with TBI, aged ≥ 15 years, with a cerebral CT showing intracranial signs of trauma, during the time-period between 2015–2018. Data were extracted from our prospective quality control registry for admitted TBI patients. As a measure of management intensity in different age groups, we made a composite score, where use of advanced TBI imaging, placement of intracranial pressure monitor, ventilator treatment, and evacuation of intracranial mass lesion each gave one point. Uni- and multivariate survival analyses were performed using logistic multinomial regression. Results A total of 1,571 patients with TBI fulfilled the inclusion criteria. The median age was 58 years (range 15–98), 70% were men, and 39% were ≥ 65 years. Head injury severity was mild in 706 patients (45%), moderate in 437 (28%), and severe in 428 (27%). Increasing age was associated with less management intensity, as measured using the composite score, irrespective of head injury severity. Multivariate analyses showed that the following parameters had a significant association with an increased risk of death within 30 days of trauma: increasing age, moderate/severe TBI, Rotterdam CT-score ≥ 4, and low management intensity (composite score ≤ 3). Conclusion The present study indicates that the management intensity of hospitalised patients with TBI decreased with advanced age and that low management intensity was associated with an increased risk of 30-day mortality. This suggests that the high mortality among elderly TBI patients may have an element of treatment bias and could in the future be limited with a more aggressive management regime.

INNV-22. TO TREAT OR NOT TO TREAT – TREATMENT OUTCOMES OF VERY ELDERLY GLIOBLASTOMA PATIENTS

OBJECTIVE The prognosis especially of older patients with glioblastoma is poor. Novel therapies are usually reserved for patients ≤65 years. As the population is growing older, the challenge remains as to how very elderly patients ≥75 years should be treated. Only limited outcome data exist for this patient subgroup. METHODS Between 2010 and 2018 we treated a total of 977 patients with glioblastoma at our institution. Of these, 144 patients were ≥75 years at diagnosis. The primary procedure was surgery or biopsy followed by adjuvant treatment, if possible. We retrospectively investigated progression-free and overall survival (OS) and looked at potential prognostic factors influencing survival, including Karnofsky performance score (KPS), surgical therapy, adjuvant therapy as well as MGMT promoter methylation status. RESULTS In our very elderly cohort, the median age was 79 years (range: 75–110). Biopsy only was performed in 108 patients, resection was performed in 36 patients. Median OS for the entire cohort was 5.9 months. Patients without adjuvant treatment fared worse than patients receiving either radiotherapy and/or chemotherapy (1.2 vs. 8.4 months, p< 0.001). Multivariate analysis showed that KPS at presentation (≥70 vs. ≤60), surgery vs. biopsy, and MGMT status (methylated vs. non-methylated) were significantly associated with OS (6.3 vs. 3.9 months, p=0.002; 12.6 vs. 4.9 months, p=0.003; and 10.5 vs. 5.0 months, p=0.009, respectively). CONCLUSION For patients with glioblastoma ≥75 years, the natural course of the disease is devastating, and there is a negative treatment bias in these patients. Very elderly patients, too, benefit from multimodal treatment including microsurgical tumor removal. Treatment options and outcomes should be thoughtfully discussed with patients before treatment decisions are made.