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

ENIGMA‐Sleep: Challenges, opportunities, and the road map

Neuroimaging and genetics studies have advanced our understanding of the neurobiology of sleep and its disorders. However, individual studies usually have limitations to identifying consistent and reproducible effects, including modest sample sizes, heterogeneous clinical characteristics and varied methodologies. These issues call for a large-scale multi-centre effort in sleep research, in order to increase the number of samples, and harmonize the methods of data collection, preprocessing and analysis using pre-registered well-established protocols. The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium provides a powerful collaborative framework for combining datasets across individual sites. Recently, we have launched the ENIGMA-Sleep working group with the collaboration of several institutes from 15 countries to perform large-scale worldwide neuroimaging and genetics studies for better understanding the neurobiology of impaired sleep quality in population-based healthy individuals, the neural consequences of sleep deprivation, pathophysiology of sleep disorders, as well as neural correlates of sleep disturbances across various neuropsychiatric disorders. In this introductory review, we describe the details of our currently available datasets and our ongoing projects in the ENIGMA-Sleep group, and discuss both the potential challenges and opportunities of a collaborative initiative in sleep medicine

Dissection of iron signaling and iron accumulation by overexpression of subgroup Ib bHLH039 protein

Abstract Iron is an essential growth determinant for plants, and plants acquire this micronutrient in amounts they need in their environment. Plants can increase iron uptake in response to a regulatory transcription factor cascade. Arabidopsis thaliana serves as model plant to identify and characterize iron regulation genes. Here, we show that overexpression of subgroup Ib bHLH transcription factor bHLH039 (39Ox) caused constitutive iron acquisition responses, which resulted in enhanced iron contents in leaves and seeds. Transcriptome analysis demonstrated that 39Ox plants displayed simultaneously gene expression patterns characteristic of iron deficiency and iron stress signaling. Thereby, we could dissect iron deficiency response regulation. The transcription factor FIT, which is required to regulate iron uptake, was essential for the 39Ox phenotype. We provide evidence that subgroup Ib transcription factors are involved in FIT transcriptional regulation. Our findings pose interesting questions to the feedback control of iron homeostasis

Oncologic outcomes, prognostic factor analysis and therapeutic algorithm evaluation of head and neck mucosal melanomas in France

International audienceBackground:Head and neck mucosal melanoma (HNMM) is aggressive and rare, with a poor prognosis because of its high metastatic potential. The two main subtypes are sinonasal (sinonasal mucosal melanoma [SNMM]) and oral cavity (oral cavity mucosal melanoma [OCMM]). Consensual therapeutic guidelines considering the primary tumour site and tumour-node-metastasis (TNM) stage are not well established.Material & methods:Patients with HNMM from the prospective national French Rare Head and Neck Cancer Expert Network database between 2000 and 2017 were included. Clinical characteristics, treatment modalities, outcomes and prognostic factors were analysed.Results:In total, 314 patients were included. The 5-year overall survival (OS) and progression-free survival (PFS) rates were 49.4% and 24.7%, respectively, in the surgery group; no long-term survivors were observed when surgery was not feasible. Moreover, even after surgery, a high recurrence rate was reported with a median PFS of 22 months. In multivariate analysis, Union for International Cancer Control (UICC) stage and tumour site correlated with PFS and OS. Postoperative radiotherapy (PORT) improved the PFS but not OS in patients with small (T3) SNMM and OCMM tumours. Nodal involvement was more frequent in patients with OCMM (p < 10-4), although, as in SNMM, it was not a significant prognostic predictor.Conclusion:Even early HNMM was associated with poor oncologic outcomes due to distant metastases despite surgical resection with clear margins. Lymph node metastases had no impact on the prognosis, suggesting treatment de-escalation in cervical node management. PORT might be useful for local control

Oncologic outcomes, prognostic factor analysis and therapeutic algorithm evaluation of head and neck mucosal melanomas in France

International audienceBackground:Head and neck mucosal melanoma (HNMM) is aggressive and rare, with a poor prognosis because of its high metastatic potential. The two main subtypes are sinonasal (sinonasal mucosal melanoma [SNMM]) and oral cavity (oral cavity mucosal melanoma [OCMM]). Consensual therapeutic guidelines considering the primary tumour site and tumour-node-metastasis (TNM) stage are not well established.Material & methods:Patients with HNMM from the prospective national French Rare Head and Neck Cancer Expert Network database between 2000 and 2017 were included. Clinical characteristics, treatment modalities, outcomes and prognostic factors were analysed.Results:In total, 314 patients were included. The 5-year overall survival (OS) and progression-free survival (PFS) rates were 49.4% and 24.7%, respectively, in the surgery group; no long-term survivors were observed when surgery was not feasible. Moreover, even after surgery, a high recurrence rate was reported with a median PFS of 22 months. In multivariate analysis, Union for International Cancer Control (UICC) stage and tumour site correlated with PFS and OS. Postoperative radiotherapy (PORT) improved the PFS but not OS in patients with small (T3) SNMM and OCMM tumours. Nodal involvement was more frequent in patients with OCMM (p < 10-4), although, as in SNMM, it was not a significant prognostic predictor.Conclusion:Even early HNMM was associated with poor oncologic outcomes due to distant metastases despite surgical resection with clear margins. Lymph node metastases had no impact on the prognosis, suggesting treatment de-escalation in cervical node management. PORT might be useful for local control