Introduction Mild cognitive impairment following chemotherapy is one of the most commonly reported post treatment symptoms by breast cancer survivors. This deterioration in cognitive function, commonly referred to as “chemobrain” or “chemofog,” was largely unacknowledged by the medical community until recent years. Although chemobrain has now become the subject of more vigorous exploration, little is known about this specific phenomenon’s psychosocial impact on breast cancer survivors. This research documents in-depth the effects that cognitive impairment has on women’s personal and professional lives, and our data suggest that greater attention needs to be focused on this arena of survivorship. Methods The results are based on an in-depth qualitative study of 74 white and African American breast cancer survivors in California who experience post-treatment side effects. The data reported herein were obtained through the use of focus groups and in-depth interviews. Results Our data indicate that cognitive impairment can be problematic for survivors, with many asserting that it is their most troublesome post treatment symptom. Survivors report diminished quality of life and daily functioning as a result of chemobrain. Respondents detail a range of coping strategies that they are forced to employ in order to manage their social and professional lives. Discussions/conclusions Chemobrain significantly impairs a proportion of cancer survivors, at great cost to them economically, emotionally, and interpersonally. This suggests that more research needs to be conducted on the psychosocial ramifications of post treatment symptoms in order to inform the efforts of the medical and mental health communities as well as the support networks of survivors. Implications for cancer survivors A better and broader understanding of the effects of cognitive impairment both in the medical community and among lay people could pave the way for improved social and psychological services for this population.

BackgroundCancer-related fatigue (CRF) is a prominent clinical problem. There are calls for multi-modal interventions.MethodsWe assessed the feasibility of delivering patient education integrated with acupuncture for relief of CRF in a pilot randomized controlled trial (RCT) with breast cancer survivors using usual care as control. Social cognitive and integrative medicine theories guided integration of patient education with acupuncture into a coherent treatment protocol. The intervention consisted of two parts. First, patients were taught to improve self-care by optimizing exercise routines, improving nutrition, implementing some additional evidence-based cognitive behavioral techniques such as stress management in four weekly 50-minute sessions. Second, patients received eight weekly 50-minute acupuncture sessions. The pre-specified primary outcome, CRF, was assessed with the Brief Fatigue Inventory (BFI). Secondary outcomes included three dimensions of cognitive impairment assessed with the FACT-COGv2.ResultsDue to difficulties in recruitment, we tried several methods that led to the development of a tailored recruitment strategy: we enlisted oncologists into the core research team and recruited patients completing treatment from oncology waiting rooms. Compared to usual care control, the intervention was associated with a 2.38-point decline in fatigue as measured by the BFI (90% Confidence Interval from 0.586 to 5.014; p <0.10). Outcomes associated with cognitive dysfunction were not statistically significant.ConclusionsPatient education integrated with acupuncture had a very promising effect that warrants conducting a larger RCT to confirm findings. An effective recruitment strategy will be essential for the successful execution of a larger-scale trial.Trial registrationNCT00646633

N-of-1 trials offer a unique opportunity to individualize clinical care and enrich clinical research. While ongoing changes in drug discovery, manufacture, and marketing may ultimately spur pharmaceutical makers and health care payers to support n-of-1 trials, at present the most promising resuscitation strategy is stripping n-of-1 trials to their essentials and marketing them directly to patients. In order to optimize statistical inference from these trials, empirical Bayes methods can be used to combine individual patient data with aggregate data from comparable patients.

Clinical experience is relatively neglected by the EBM movement, but if that experience were systematically gathered through an approach such as EF, it would meet a need left unfulfilled by EBM.

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