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844 results for “cross-section”

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ClinicalTrials.gov20/100

The Clinical Application of EIT in Clinically Ill Patients: a Cross-sectional Study

ClinicalTrials.gov study NCT06954415. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Oral Cancer Screening in Workplace: a Cross-sectional Study

ClinicalTrials.gov study NCT06057857. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Knowledge, Attitude, And Practice In A Group Of Egyptian Dentists Towards Preventive Measures In Pediatric Dentistry: A Cross-Sectional Study

ClinicalTrials.gov study NCT03556865. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov20/100

Belgian Cross-sectional Allogeneic Transplant Survivor Study

ClinicalTrials.gov study NCT02312830. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

A Cross-sectional Study Evaluating Pregnancy Related Use of Vitamins and Medication

ClinicalTrials.gov study NCT03105583. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Cross-sectional Analysis of Non-technical Attributes and Surgical Experience in Surgical Staff, Trainees and Applicants.

ClinicalTrials.gov study NCT03728088. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Cross-sectional Study on a Given Day Within the Paris Saint-Joseph Hospital Group

ClinicalTrials.gov study NCT04022278. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

A Cross-sectional Study of Covid-19 Pandemic in Zhejiang Province

ClinicalTrials.gov study NCT05668052. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Traditional Medicine Syndromes in Internal Hemorrhoids: a Cross-Sectional Study

ClinicalTrials.gov study NCT06876428. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov20/100

Covid-19 In Tunisia: An Observational Cross-Sectional Registry Study

ClinicalTrials.gov study NCT04384614. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Oral Ulcer Prevalence: Hospital-based Cross-sectional Study

ClinicalTrials.gov study NCT03167632. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov20/100

A Cross-sectional Study on the Impact of Shift Work on Diastolic Dysfunction in Healthcare Workers

ClinicalTrials.gov study NCT07331233. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov20/100

The Cross-sectional Area of the Long Head of the Biceps Tendon and the Rotator Cuff Tear Position

ClinicalTrials.gov study NCT05477771. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

A Cross-sectional Study to Investigate the Effect of Topiramate on Bone and Mineral Metabolism in Female Participants With Epilepsy

ClinicalTrials.gov study NCT01030094. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

The amniotic fluid proteome improves prediction of imminent delivery relative to quantitative cervical length: a cross-sectional study in women with a short cervix

GEO Series GSE186135. Homo sapiens. 106 samples. Type: Protein profiling by protein array.

openGEO-OpenSep 2022View details →
zenodo16/100

Dataset related to article "Cognitive and behavioral associated changes in manifest Huntington disease A retrospective cross-sectional study"

<p>.xls dataset containing clinical and neuropsychological data of HD patients included in the study described at title by Fondazione Besta</p>

restrictedMar 2022View details →
zenodo16/100

Data set of Sepsis awareness at the university hospital level: a survey-based cross-sectional study

<p><strong>This is the dataset for the SAfE survey</strong></p> <p>We conducted a survey on nurses and physicians distributed over all adult departments of the Lausanne University Hospital (LUH) and local paramedics. The survey aimed to assess professionals&rsquo; demographics (age, profession, seniority, unit of activity), prior sepsis education, perceptions, knowledge of sepsis epidemiology, definition, recognition and management. Correlation between surveyed personel&nbsp; and&nbsp; sepsis perceptions and knowledge were assessed with univariate logistic regression models.</p> <p><strong>Methods:</strong></p> <p>The research team designed a survey inspired from previously published surveys assessing knowledge and awareness of sepsis.</p> <p>The questions were tailored to the profession (clinical scenario adapted activity sector - medicine, surgery, emergency department or gynecology). The survey was written and completed in French. Each section of the survey (paramedics&rsquo;, nurses&rsquo; and physicians&rsquo; section) was submitted to three focus groups consisting of 3 to 6 participants of each profession, commonly involved in care of patients with sepsis. These focus groups assessed the applicability and appropriateness (validity) of the survey. The focus group were constituted of nurses, physicians and paramedics of all seniority levels. Their primary task was in assessing whether formulations and relevance of questions were adequate.&nbsp; The survey was revised using feedback from the groups. Surveys of nursing staff and paramedics were more focused on screening, initial evaluation and early management whereas physicians were also tested on diagnosis and management. Responses options included Likert-type scales, binary (e.g. &ldquo;yes/no&rdquo;) or multiple choices. Each question was locked upon answering, which prevented post hoc changes that could be influenced by information provided at a later stage of the survey. The final survey contained questions on participants&rsquo; demographic characteristics (5/7/6 questions for nurses/paramedics/physicians), sepsis continuous education (3/3/3 questions), self-evaluation of sepsis knowledge and clinical management (2/2/2 questions), definitions, scores and epidemiology (11/12/14 questions), and sepsis management (4/4/5 questions). The survey was developed in REDCap (Research Electronic Data Capture) software so as to automatically export participants&rsquo; responses to a database.&nbsp;Surveys are provided as supplementary material (supp. meth. survey).</p> <p>Participants were recruited between January 20 and October 10, 2020. We aimed for a convenience sample size of 1,000 persons (approx. 20% of the active HCPs) distributed over all departments (Emergency department (ED), intensive care unit (ICU), Medicine, Paramedic, Psychiatry, or Surgery) and professions (paramedics, nurses and physicians) to reach 20% of LUH staff considered HCPs, being as representative as possible. Pediatrics and neonatology staff (not covered by Sepsis-3 consensus definitions) as well as nurses and physicians not in daily contact with patients (i.e., who were working in research team or in administration) were excluded. We favored a supervised approach rather than a dissemination of the survey to all HCPs by email. Participants answered the online survey under trained interviewer supervision so as maximize data quality and to avoid biased responses (internet queries, discussions between colleagues). Furthermore, to avoid multiple answers by a same HCP, surveys were accessed by QR-code only available at screening; timing of survey completion was registered and email addresses were registered.</p> <p>Thus, participants were screened &nbsp;amongst the medical (n=1664) and nursing staff (n=2463) in daily contact with patients of LUH and amongst paramedics of the Canton of Vaud (n=290) during the screening period. Screening by trained interviewers took place during scheduled patient hand-offs, seminars or group meetings, as permitted by heads of units. Participation was voluntary and anonymous. Participants completed the online survey using tablets or smartphones (participants&rsquo; or provided by the investigators).</p> <p><strong>Results:</strong></p> <p>Between January and October 2020, 1,116 of 1,216 contacted professionals completed the survey (participation rate 91.8%). These participants represented about 25% of the workforce (n=4417) &ndash; i.e., 25.1% of nurses (619/2,463), 20.9 % of physicians (348/1,664),and 51.4% of paramedics (149/290). Only 13% of participants (physicians: 28.4%, nurses: 5.9%, paramedics: 6.8%) correctly identified the Sepsis-3 consensus definition. Similarly, less than 50% of participants (physicians: 48.6%, nurses: 10.0%) selected the SOFA score as a sepsis defining score for infected patients. Furthermore, 24% of participants properly identified the qSOFA score as a predictor of increased mortality; and 6% selected correctly its components. For a suspected sepsis, 96.1%, 91.6% and 75.8% of physicians respectively chose blood cultures, broad-spectrum antibiotics and fluid resuscitation as required interventions; 76.4% and 18.2% of physicians requested initial measures within 1 and 3 hours, respectively. For physicians, recent training correlated with awareness regarding definitions, SOFA and qSOFA score use and components: ORs (95%CI) 2.2 (1.4-3.6), 4.3 (2.7-6.7), 3.4 (2.2-5.2), and 2.6 (1.5-4.6), respectively).</p> <p><strong>Conclusions:</strong></p> <p>We identify a deficit of awareness among physicians, nurses and paramedics at LUH correlating with a lack of sepsis-specific training.</p>

restrictedAug 2022View details →
zenodo16/100

Long-term knee health in adults with a history of adolescent Osgood-Schlatter: A cross-sectional follow-up on a national cohort of patients from secondary care in Denmark 1977-2020

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Sep 2024View details →
geo16/100

Investigation of oral microbiome composition in elderly Chinese patients with hypertension: A cross-sectional study

GEO Series GSE277296. human oral metagenome. 206 samples. Type: Other.

openGEO-OpenSep 2024View details →
zenodo12/100

Dataset for Physician Preparedness for Resource Allocation Decisions Under Pandemic Conditions: A Cross-Sectional Survey of Canadian Physicians, April 2020

<p>Survey responses.&nbsp;</p>

restrictedAug 2020View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record