Background: Incidence and prevalence studies of neurologic disorders play an important role in assessing the burden of disease and planning services. However, the assessment of disease estimates is hindered by problems in reporting for such studies. Despite a growth in published reports, existing guidelines relate to analytical rather than descriptive epidemiologic studies. There are also no user-friendly tools (e.g., checklists) available for authors, editors, and peer reviewers to facilitate best practice in reporting of descriptive epidemiologic studies for most neurologic disorders.
Objective: The Standards of Reporting of Neurological Disorders (STROND) is a guideline that consists of recommendations and a checklist to facilitate better reporting of published incidence and prevalence studies of neurologic disorders.
Methods: A review of previously developed guidance was used to produce a list of items required for incidence and prevalence studies in neurology. A 3-round Delphi technique was used to identify the "basic minimum items" important for reporting, as well as some additional "ideal reporting items." An e-consultation process was then used in order to gauge opinion by external neuroepidemiologic experts on the appropriateness of the items included in the checklist.
Findings: Of 38 candidate items, 15 items and accompanying recommendations were developed along with a user-friendly checklist.
Conclusions: The introduction and use of the STROND checklist should lead to more consistent, transparent, and contextualized reporting of descriptive neuroepidemiologic studies resulting in more applicable and comparable findings and ultimately support better health care decisions.
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http://dx.doi.org/10.1212/WNL.0000000000001866 | DOI Listing |
G3 (Bethesda)
January 2025
Infectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris 75015, France.
Genetic studies of Plasmodium parasites increasingly feature relatedness estimates. However, various aspects of malaria parasite relatedness estimation are not fully understood. For example, relatedness estimates based on whole-genome-sequence (WGS) data often exceed those based on sparser data types.
View Article and Find Full Text PDFPulmonology
December 2025
Department of Human Movement Sciences, Laboratory of Epidemiology and Human Movement - EPIMOV, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Pulmonology
December 2025
Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Hearth, Rome, Italy.
New ultrathin bronchoscopes (UTBs) enable the inspection and biopsy of small airways, potentially offering diagnostic advantages in sarcoidosis. In this prospective study, patients with suspected sarcoidosis underwent airway inspection with a UTB. Observed airway abnormalities were categorised into six predefined patterns.
View Article and Find Full Text PDFMicrob Genom
January 2025
Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Microbial Genome Research, Braunschweig, Germany.
Genomic data on from the African continent are currently lacking, resulting in the region being under-represented in global analyses of infection (CDI) epidemiology. For the first time in Nigeria, we utilized whole-genome sequencing and phylogenetic tools to compare isolates from diarrhoeic human patients (=142), livestock (=38), poultry manure (=5) and dogs (=9) in the same geographic area (Makurdi, north-central Nigeria) and relate them to the global population. In addition, selected isolates were tested for antimicrobial susceptibility (=33) and characterized by PCR ribotyping (=53).
View Article and Find Full Text PDFJAMA
January 2025
Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California.
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