Osteopoikilosis: Pain as a Presenting Symptom in Three Family Members

Osteopoikilosis is a rare asymptomatic sclerosing bony dysplasia of benign origin. It is usually found incidentally on radiological examinations. Familial occurrence indicates a genetic milieu with autosomal dominant pattern. Here, we present a case report of a young woman suffering from pelvic pain due to osteopoikilosis (OPK). The same disorder was later found in her son and daughter

Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed

Evaluation of A Positive Psychology Group Intervention in Nature for Young Cancer Survivors to Promote Well-Being and Post-Cancer Identity Development

Purpose: Adolescent and young adult (AYA) cancer survivors (15-39 years) often struggle with their post-cancer identity. We developed an age-Appropriate positive psychology group intervention with fellow AYA cancer survivors in a nature-rich environment. The aim of this study was to examine the needs and expectations of participants of this new, 1-week post-cancer identity intervention, and to evaluate their experiences to identify factors that contribute to the quality and impact of post-cancer mental health care interventions. Methods: This was a mixed-method exploratory pilot study evaluating a new, 1-week post-cancer identity intervention. The participants (n = 13) completed questionnaires at baseline measuring needs and expectations, and on the last day of the intervention and at 1-month follow-up, measuring experiences. Results: Participants' expectations to be supported in finding their post-cancer identity and receiving acknowledgment and recognition of their suffering in fellow AYAs were met. The intervention was perceived as positively contributing to post-cancer identity development (n = 11) and several aspects of well-being. Most appreciated elements of the intervention were peer support and the nature-rich environment on perceived well-being. Conclusion: The group-based positive psychology after care intervention in nature for AYA oncology was well received by participants and provided useful feedback for improvement of future editions. The intervention could offer support to AYA's in the promotion of their well-being and post-cancer identity development, but more research is needed to confirm this