A Systematic Review of Reported Outcomes in Randomized Controlled Trials Targeting Early Interventions in Moderate-to-Severe Traumatic Brain Injury.

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. Randomized controlled trials (RCTs) are the cornerstone to evaluate the efficacy of an intervention. To assess the methodology of clinical research, we performed a systematic review that evaluated the different outcomes used in RCTs targeting the early phase of moderate-to-severe adult TBI from 1983 to October 31, 2023. We extracted each outcome and organized them according to the COMET and OMERACT framework (core area, broad domains, target domains, and finally outcomes). A total of 190 RCTs were included, including 52,010 participants. A total of 557 outcomes were reported and classified between the following core areas: pathophysiological manifestations [169 RCTs (88.9%)], life impact [117 RCTs (61.6%)], death [94 RCTs (49.5%)], resource use [72 RCTs (37.9%)], and adverse events [41 RCTs (21.6%)]. We identified 29 broad domains and 89 target domains. Among target domains, physical functioning [111 (58.4%)], mortality [94 (49.5%)], intracranial pressure target domain [68 (35.8%)], and hemodynamics [53 (27.9%)] were the most frequent. Outcomes were mostly clinician-reported [177 (93.2%)], while patient-reported outcomes were rarely reported [11 (5.8%)]. In our review, there was significant heterogeneity in the choice of end-points in TBI clinical research. There is an urgent need for consensus and homogeneity to improve the quality of clinical research in this area.

Return to work and psychosocial trajectories after breast cancer: a longitudinal and sequential approach.

PURPOSE: We aimed to describe the psychosocial adjustments according to return to work (RTW) trajectories in breast cancer survivors (BCS) using a sequential and temporal approach. METHODS: We used BCS data included from February 2015 to April 2016 in the Longitudinal Study on Behavioural, Economic and Sociological Changes after Cancer (ELCCA) cohort. RTW trajectories were identified using the sequence analysis method followed by a clustering. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale and the EORTC quality of life questionnaire was used at inclusion and all follow-up visits to assess Health-Related Quality of Life (HRQoL). RESULTS: Fifty-two BCS were included in the study among whom four clusters of RTW trajectories were identified and labeled: slow RTW (N = 10), quick RTW (N = 27), partial RTW (N = 8), and part-time work (N = 7). Quick and slow RTW clusters showed slightly lower baseline mean levels of anxiety and higher levels of HRQoL. In the 4 years following diagnosis, BCS in the quick RTW cluster tended to report higher HRQoL in terms of functioning and less symptoms of pain and fatigue while those in the partial RTW cluster showed a lower HRQoL on almost all dimensions. All clusters showed an increase in pain and fatigue symptoms until 6 months followed by a tendency to recover baseline levels. CONCLUSIONS: The results of this study suggest that BCS who return to full-time work (slow and quick RTW patterns) recover better than patients who return to part-time work (partial and part-time RTW patterns).

Unsupervised item response theory models for assessing sample heterogeneity in patient-reported outcomes measures.

PURPOSE: Unsupervised item-response theory (IRT) models such as polytomous IRT based on recursive partitioning (IRTrees) and mixture IRT (MixIRT) models can be used to assess differential item functioning (DIF) in patient-reported outcome measures (PROMs) when the covariates associated with DIF are unknown a priori. This study examines the consistency of results for IRTrees and MixIRT models. METHODS: Data were from 4478 individuals in the Alberta Provincial Project on Outcome Assessment in Coronary Heart Disease registry who received cardiac angiography in Alberta, Canada, and completed the Hospital Anxiety and Depression Scale (HADS) depression subscale items. The partial credit model (PCM) based on recursive partitioning (PCTree) and mixture PCM (MixPCM) were used to identify covariates associated with differential response patterns to HADS depression subscale items. Model covariates included demographic and clinical characteristics. RESULTS: The median (interquartile range) age was 64.5(15.7) years, and 3522(78.5%) patients were male. The PCTree identified 4 terminal nodes (subgroups) defined by smoking status, age, and body mass index. A 3-class PCM fits the data well. The MixPCM latent classes were defined by age, disease indication, smoking status, comorbid diabetes, congestive heart failure, and chronic obstructive pulmonary disease. CONCLUSION: PCTree and MixPCM were not consistent in detecting covariates associated with differential interpretations of PROM items. Future research will use computer simulations to assess these models' Type I error and statistical power for identifying covariates associated with DIF.