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446
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ShareScore release 0.9.0
Dataset results
446 results for “Case control”
Role and Value of Inflammatory Markers in Brain Tumors : A Case Controlled Study
ClinicalTrials.gov study NCT04634188. IPD Sharing: UNDECIDED. Countries: 1. Publications: 17.
A Case-control Study to Assess the Association Between Environmental, Domestic and Occupational Exposures and the Risk of Testicular Germ Cell Tumor
ClinicalTrials.gov study NCT02109926. IPD Sharing: Not stated. Countries: 1. Publications: 44.
Multiple Myeloma and Environmental Exposure to Pesticides in the French West Indies: A Population Based Case-control Study.
ClinicalTrials.gov study NCT04260490. IPD Sharing: NO. Countries: 2. Publications: 2.
Efficacy and Safety of Entacapone Combined With Madopar in the Treatment of Early Parkinson's Disease: An Observational, Multicenter, Case-Control Study
ClinicalTrials.gov study NCT06928519. IPD Sharing: UNDECIDED. Countries: 1. Publications: 7.
Case-Control Study on Analgesics and Nephropathy (SAN)
ClinicalTrials.gov study NCT00302835. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Robotic Assisted Versus Laparoscopic Cholecystectomy - Outcome and Cost Analyses of a Case-Matched Control Study
ClinicalTrials.gov study NCT00562900. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Coronary Artery Disease: a Case- Control Study
ClinicalTrials.gov study NCT03075566. IPD Sharing: NO. Countries: 1. Publications: 1.
A Pilot Case Control Study of Vascular Function in Cyclists
ClinicalTrials.gov study NCT02745665. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: A remote-controlled observatory for behavioural and ecological research: a case study on emperor penguins
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Data from: Activating Killer-cell Immunoglobulin-like Receptor genes confer risk for Crohn’s disease in children and adults of the Western European descent: findings based on case-control studies
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Data from: An unfavorable body composition is common in early arthritis patients: a case control study
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Schizophrenia and Bartonella spp. infection: A pilot case–control study
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Clinical characteristics, risk factors and complications of COVID-19 among critically ill older adults – A case control study
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Data from: A case-control study evaluating CT signs of xiphoid process associated with xiphodynia
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Data from: Syphilis infection among homosexual men reporting contact with syphilis: a case control study
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Data from: Skin autofluorescence and subclinical atherosclerosis in mild to moderate chronic kidney disease: a case-control study
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Data from: Gene expression profiles of alveolar type II cells of chronic obstructive pulmonary disease: a case-control study
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Data from: Risk factors for bloodborne viral hepatitis in healthcare workers of Pakistan: a population based case–control study
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Data from: Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation
<p class="AbstractSummary"><b>Background</b></p> <p class="AbstractSummary">Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Pathologists are in critical need of accurate biomarkers to characterize PC, particularly to confirm the presence of intraductal carcinoma of the prostate (IDC-P), an aggressive histopathological variant for which therapeutic options are now available. Our aim was to identify IDC-P with Raman micro-spectroscopy and machine learning technology following a protocol suitable for routine clinical histopathology laboratories.</p> <p class="AbstractSummary"><b>Methods and findings</b></p> <p class="AbstractSummary">We used Raman micro-spectroscopy to differentiate IDC-P from PC, as well as PC and IDC-P from benign tissue on formalin-fixed paraffin-embedded first-line radical prostatectomy specimens (embedded in tissue microarrays, TMAs) from 483 patients treated in three Canadian institutions between 1993 and 2013. The main measures were the presence or absence of IDC-P and of PC, regardless of the clinical outcomes. Most of the 483 patients were pT2 stage (44–69%), and pT3a (22–49%) was more frequent than pT3b (9–12%). After approval of the construction of the TMAs by local ethics review board, the diagnostic accuracy study was approved by the Centre hospitalier de l'Université de Montréal (CHUM) ethics review board. Briefly, two consecutive sections of each TMA block were cut. The first section was transferred onto a glass slide to perform immunohistochemistry with H&E counterstaining for cell identification. The second section was placed on an aluminum slide, dewaxed, and then used to acquire an average of 7 Raman spectra per specimen (between 4 and 24 Raman spectra, 4 acquisitions / TMA core). Raman spectra of each cell type were then analyzed to retrieve tissue-specific molecular information and to generate classification models using machine learning technology. <span>Models were trained and cross-validated using data from one institution. Accuracy, sensitivity and specificity were respectively of 87 ± 5%, 86 ± 6% and 89 ± 8% to differentiate PC from benign tissue, and of 95 ± 2%, 96 ± 4% and 94 ± 2% respectively to differentiate IDC-P from PC. The trained models were then tested on data from two independent institutions, reaching accuracies, sensitivities and specificities of 84 and 86%, 84 and 87%, and 81 and 82%, respectively</span><span> to diagnose PC, and of 85 and 91%, 85 and 88%, and 86 and 93% respectively for the identification of IDC-P.</span> IDC-P could further be differentiated from high-grade prostatic intraepithelial neoplasia (HGPIN), a pre-malignant intraductal proliferation which can be mistaken as IDC-P, with accuracies, sensitivities and specificities >95% in both training and testing cohorts. As we used stringent criteria to diagnose IDC-P, the main limitation of our study is the exclusion of borderline, difficult to classify lesions from our datasets.</p> <p class="AbstractSummary"><b>Conclusions</b></p> <p>In this study, we developed classification models for the analysis of Raman micro-spectroscopy data to differentiate IDC-P, PC and benign tissue, including HGPIN. Raman micro-spectroscopy could be a next-generation histopathological technique used to <span>reinforce the identification of high-risk PC patients and lead to more precise diagnosis of IDC-P.</span></p>
Data from: Osteosarcopenia in reproductive-aged women with polycystic ovary syndrome: a multicenter case-control study
<p><span><b>Context:</b> Osteosarcopenia (loss of skeletal muscle and bone mass and/or function usually associated with aging) shares pathophysiological mechanisms with polycystic ovary syndrome (PCOS). However, the relationship between osteosarcopenia and PCOS remains unclear.</span></p> <p><span><b>Objective: </b>We evaluated skeletal muscle index% (SMI%=[appendicular muscle mass/weight {kg}]×100) and bone mineral density (BMD) in PCOS <a name="_Hlk36059693">(hyperandrogenism+oligoamenorrhea), and contrasted these musculoskeletal markers against 3 reproductive phenotypes: (1) HA (hyperandrogenism+eumenorrhea); (2) OA (normoandrogenic+oligoamenorrhea) and, (3) controls (normoandrogenic+eumenorrhea). </a>Endocrine predictors of SMI% and BMD were evaluated across groups.</span></p> <p><span><b>Design, Setting, Participants: </b>Multicenter case-control study of 203 women (18–48y) in New York State.<b> </b></span></p> <p><span><a name="_Hlk36062204"><b>Results:</b></a> PCOS group exhibited reduced SMI% (<a name="_Hlk35952064">mean [95%CI]; 26.2% [25.1,27.3] vs. 28.8% [27.7,29.8])</a>, lower-extremity SMI% (57.6% [56.7,60.0] vs. 62.5% [60.3,64.6]), and BMD (1.11 [1.08,1.14] vs. 1.17 [1.14,1.20] g/cm<sup>2</sup>) compared to controls. PCOS group also had decreased upper (0.72 [0.70,0.74] vs. 0.73 [0.71,0.76] g/cm<sup>2</sup>) and lower (1.13 [1.10,1.16] vs. 1.15 [1.12,1.18] g/cm<sup>2</sup>) limb BMD compared to HA. Matsuda index was lower in PCOS vs. controls and positively associated with SMI% in all groups (All:P≤0.05). Only controls showed associations between insulin-like-growth-factor-1 (IGF-1) and upper (r=0.84) and lower (r=0.72) limb BMD (All:P<0.01). Unlike in PCOS, IGF binding-protein-2 was associated with SMI% in controls (r=0.45) and HA (r=0.67), and with upper limb BMD (r=0.98) in HA (All:P<0.05).</span></p> <p><b>Conclusions: </b>Women with<b> </b>PCOS exhibit early signs of osteosarcopenia compared to controls likely attributed to disrupted insulin function. Understanding the degree of musculoskeletal deterioration in PCOS is critical for implementing targeted interventions that prevent and delay osteosarcopenia in this clinical population.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.