BACKGROUND: Inconsistent reporting of patient characteristics in clinical research hampers reproducibility and limits analysis opportunities. This paper proposes condition-specific \'Core Descriptor Sets\' comprising key factors like demographics, disease severity, comorbidities, and prognosis to standardize Table 1 reporting.
METHODS: Development entails stakeholder involvement, systematic identification of descriptors, value rating, and consensus-building using multiple Delphi rounds. Final agreement comes at an expert meeting.
CONCLUSIONS: Benefits include easier cross-study comparison, for example, through individual patient meta-analysis, facilitated by comparison of consistently reported individual data rather than group-level analysis. This may also support routine data analyses, subgroup and risk identification, and reduced research waste. Core Descriptor Sets describe cohorts thoroughly while minimizing research burden. They are intended to enable improved clinical characterization, personalization, reproducibility, data sharing, and knowledge building.

Positive leadership behaviours at work are associated with worker well-being and performance. However there is less knowledge about whether exposure to low levels of positive leadership behaviours increase workers\' risk of clinical mental disorders. We investigated whether low levels of positive leadership behaviours are prospectively associated with risk of treatment for depressive and anxiety disorders. In a cohort study, we linked survey data from 59,743 respondents from the Work Environment and Health in Denmark survey with national health register data. Leadership behaviours were measured with an eight-item scale. Treatment was defined as redeemed prescription for antidepressants or anxiolytics or hospital treatment for depression or anxiety. Using Cox proportional hazard regression, adjusting for demographic variables, job type and sector, adverse life events and childhood adversities, we estimated the association between leadership behaviours at baseline and risk of treatment during follow-up. We identified 999 cases of depression and anxiety treatment during follow-up. Compared to high levels of leadership behaviours, exposure to medium low and low levels were associated with an increased risk of treatment after adjustment for covariates. The results suggest that low levels of positive leadership behaviours are associated with an increased risk of treatment for depressive or anxiety disorders.

Epidemiologists are attempting to address research questions of increasing complexity by developing novel methods for combining information from diverse sources. Cole et al. (Am J Epidemiol. 2023;192(3)467-474) provide 2 examples of the process of combining information to draw inferences about a population proportion. In this commentary, we consider combining information to learn about a target population as an epidemiologic activity and distinguish it from more conventional meta-analyses. We examine possible rationales for combining information and discuss broad methodological considerations, with an emphasis on study design, assumptions, and sources of uncertainty.

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The biomedical research process must follow certain quality criteria in its design and development to ensure that the results are credible and reliable. Once completed, the time comes to write an article for publication. The article must present in sufficient detail, and in a clear and transparent manner, all the information on the research work that has been carried out. In this way, readers, after a critical reading of the published content, will be able to judge the validity and relevance of the study and, if they so wish, make use of the findings. In order to improve the description of the research process for publication, a series of guidelines have been developed which, in a simple and structured way, guide authors in the preparation of a manuscript. They are presented in the form of a list, flowchart, or structured text, and are an invaluable aid when writing an article. This article presents the reporting guidelines for the most common designs along with the corresponding checklists.

Traditional active vaccine safety monitoring involves pre-specifying health outcomes and biologically plausible outcome-specific time windows of concern, limiting the adverse events that can be evaluated. In this study, we used tree-based scan statistics to look broadly for >60,000 possible adverse events after bivalent COVID-19 vaccination.
Vaccine Safety Datalink enrollees aged ≥5 years receiving Moderna or Pfizer-BioNTech bivalent COVID-19 vaccine through November 2022 were followed for 56 days post-vaccination. Incident diagnoses in inpatient or emergency department settings were analyzed for clustering within the hierarchical ICD-10-CM diagnosis code \"tree\" and temporally within post-vaccination follow-up. The conditional self-controlled tree-temporal scan statistic was used, conditioning on total number of cases of each diagnosis and total number of cases of any diagnosis occurring during the scanning risk window across the entire tree. P = 0.01 was the pre-specified cut-off for statistical significance.
Analysis included 352,509 doses of Moderna and 979,189 doses of Pfizer-BioNTech bivalent vaccines. After Moderna vaccination, no statistically significant clusters were found. After Pfizer-BioNTech, there were clusters of unspecified adverse events (Days 1-3, p = 0.0001-0.0007), influenza (Days 35-56, p = 0.0001), cough (Days 44-55, p = 0.0002), and COVID-19 (Days 52-56, p = 0.0004).
For Pfizer-BioNTech only, we detected clusters of: (1) unspecified adverse effects, as have been observed in other vaccine studies using this method, and (2) respiratory disease toward the end of follow-up. The respiratory clusters were likely due to overlap of follow-up with the spread of respiratory syncytial virus, influenza, and COVID-19, i.e., confounding by seasonality. The untargeted nature of the method and its inherent adjustment for the many diagnoses and risk intervals evaluated are unique advantages. Limitations include susceptibility to time-varying confounding, lower statistical power for assessing risks of specific outcomes than in traditional studies targeting fewer outcomes, and the possibility of missing adverse events not strongly clustered in time or within the \"tree.\"

This review investigates the extent to which a place-based approach has been used to conceptualize context, as well as the place-related contextual factors explored in studies that explicitly invoked a syndemic framework. The literature search focused on 29 peer-reviewed empirical syndemic studies. Only 11 studies used a place-based approach to define and measure contextual factors and the spatial context was denoted using administrative boundaries such as census tracts, counties, and countries. A narrow range of place-related contextual factors were explored and most of them were related to social and economic factors that were used to define a place. Methodological gaps like a paucity of multilevel studies and studies using a place-based approach to measure context were identified. Future syndemics research should leverage multidimensional geospatial approaches to decipher the role of place-related contextual factors in syndemic dynamics.

The purpose of this study was to identify and compare the research priorities of Australian practicing chiropractors and academics across listed research domains and to seek their views on existing chiropractic research strategies. Concurrent objectives were to gain insight into the perspectives on characteristics of research and solicit ideas and suggestions for future research from both groups.
This study used a mixed-method research design to collect data using an online survey portal. Australian chiropractic academics (n = 220) and practicing chiropractors who were also members of a nationally representative, practice-based research network database (n = 1680) were invited to participate. Data were collected (February 19, 2019, to May 24, 2019). The free-text data were analyzed primarily via semantic coding and verbatim referential units in cases where the category was an exact match for the textual data. Content analyses of the qualitative data were presented in a tabulated and narrative manner as identified domains. Selected representative examples were provided verbatim.
The response rate for the survey was 44% for full-time equivalent academics, 8% for casuals and part-time chiropractic academics, and 21.5% for Australian Chiropractic Research Network database chiropractic practitioners. Open-text data comprised a narrower focus on musculoskeletal (MSK) conditions and opposition or reservations by academics and some practitioners toward the research agenda of those espousing traditional concepts and terminology. Comments from both groups illustrate the strongly held views that characterize divergent factions of the chiropractic profession. Some practitioners were highly critical of the narrow focus and epistemological paradigm of Australian university-based research, while others were strongly supportive of the traditional focus of the Australian Spinal Research Foundation. Australian academics at the 4 university-based programs held the view that MSK and spinal pain, for which some evidence already exists, should be the priority of future research, building on what is known. Practitioners believed that future research should be directed toward expanded areas such as basic science, younger populations, and non-MSK conditions. Respondents were sharply divided on attitudes toward traditional chiropractic terminology, concepts, and philosophy and the utility of future research on these topics.
Our qualitative findings suggest there is a division in the Australian chiropractic profession regarding research direction and priorities. This divide exists between academics and researchers and within field practitioners. This study highlights the attitudes, opinions, and perceptions of important stakeholder groups, which should be considered by decision-makers when formulating research policy, strategy, and prioritization of funding.

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