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2,079 results for “prognostics”
Prognostic value of a modified pathological staging system for gastric cancer based on the number of retrieved lymph nodes and metastatic lymph node ratio raw data
<p><span>Clinical data from the US Surveillance, Epidemiology, and End Results (SEER) Program from 2010-2015 (https://seer.cancer.gov/) was extracted and analyzed as training set, data from 2016-2017 was adopted as internal validation set. Data from The Cancer Genome Atlas Program (TCGA) (https://portal.gdc.cancer.gov/) and prognosis data from Gastrointestinal surgery Department, Third Affiliated Hospital of Sun Yat-sen University were applied as external validation sets. </span></p> <p><span>Screening criteria for gastric cancer cases were as follow: exclusion of cases with only autopsy or death certificate, cases where initial tumor location was not stomach, patients with stage 0 and stage IV, cases without radical surgery, non-adenocarcinoma cases, death cases within one month after operation, and cases with unknown lymph node information and AJCC TNM stage.</span></p> <p><span>The study analyzed various factors such as age of diagnosis (<50 years, 50-69 years, >69 years), gender, race (white, black, other), AJCC T stage (T1-T4b), AJCC TNM stage (I-III), primary tumor location (stomach body, antrum/pylorus, cardia/fundus, greater gastric recurve, lesser gastric recurve, overlapping area, NOS), Clinical features such as tumor size (≥5cm,<5cm, unknown), tumor grade (I-IV), chemotherapy, radiotherapy, number of lymph nodes retrieved and number of metastases, and lymph node positive rate. The populations of American Indian/Alaskan and Asian/Pacific Islander were classified as "other" due to small sample sizes. Tumor grade was also analyzed, with grades I-IV representing highly differentiated, moderately differentiated, poorly differentiated, and signed-ring cell carcinoma, respectively. Overall survival (OS) is the time from cancer diagnosis to death from any cause, while disease-specific survival (DSS) is the time from cancer diagnosis to death specifically due to the disease.</span></p> <p><strong><span> </span></strong></p>
Data deposition of the article 'Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence'
<p>Data deposition of the article 'Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence'</p>
Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis (Dataset)
<p>Raw data used for statistical analysis of our paper "Natural history of Lafora Disease: A Prognostic Systematic Review and Individual Participant Data Meta-Analysis". </p>
Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
<p>This repository contains the raw IMC data of ZTMA 26 as continuation of dataset <strong>10.5281/zenodo.7494413.</strong> The zip files starting with ZTMA contain the raw IMC measurements (mcd and txt) of those parts of the TMA. The TMA measurements are split up into parts in order to avoid huge files.</p> <p>Additionally, this repository contains the metadata of the patients analyzed in this study, the panel information and the single-cell data that was extracted from the multiplexed images together with the associated metadata in SingleCellExperiment format for analysis in R.</p> <p>The analysis.zip folder contains files that were written out during the analysis according to the scripts in https://github.com/BodenmillerGroup/BC_LN_metastses.</p> <p>The single-cell and other data outputs from CellProfiler can be found in the cpout.zip file.</p> <p>The IF_whole_sections.zip file contains the IF images of the primary breast cancer sections (czi files) and the extracted single-cell data.</p>
Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
<p>This repository contains the raw IMC data of ZTMA 21 and 25 of the matched primary breast cancer and lymph node metastasis study presented in Fischer and Jackson et al., 2023. The code that was used to process and analyze this data can be found at https://github.com/BodenmillerGroup/BC_LN_metastses.</p> <p>The zip files starting with ZTMA contain the raw IMC measurements (mcd and txt) of the respective parts of the TMA. The TMA measurements are split up into parts in order to avoid huge files.</p>
Development of a prognostic model for early breast cancer integrating neutrophil to lymphocyte ratio and clinical-pathological characteristics
<p><strong>Abstract</strong></p> <p>Breast cancer-related inflammation is critical in tumorigenesis, cancer progression, and patient prognosis. Several inflammatory markers derived from peripheral blood cells count, such as the neutrophil-lymphocyte ratio (NLR), derived neutrophil-lymphocyte ratio (dNLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR) and systemic immune-inflammation index (SII) are considered as prognostic markers in several types of malignancy. Here, we investigate and validate a prognostic model in early breast cancer (eBC) patients to predict disease-free survival (DFS) based on readily available baseline clinicopathological prognostic factors and preoperative peripheral blood-derived indexes. We analyzed a training cohort of 710 BC patients and two external validation cohorts of 980 and 157 eBC patients, respectively, with different demographic origins. An elevated preoperative NLR is a better DFS predictor than PLR, MLR, and SII in patients with eBC. The prognostic model generated in this study was able to classify patients into three groups with different risks of relapse based on ECOG-PS, presence of comorbidities, T and N stage, PgR status, and NLR. Prognostic models derived from the combination of clinicopathological features and peripheral blood indices, such as NLR, represent attractive markers mainly because they are easily detectable and applicable in daily clinical practice. More comprehensive prospective studies are needed to unveil their actual effectiveness.</p>
ANION GAP OR SERUM LACTATE-IN SEARCH OF A BETTER PROGNOSTIC MARKER IN SEPSIS A CROSS-SECTIONAL STUDY IN A RURAL TERTIARY CARE HOSPITAL
<p>master data sheet</p>
Association of PD-L1 immunoexpression with the clinicopathological characteristics and its prognostic significance in OPMD and OSCC – Cross sectional study
<p>Master chart for the study titled Association of PD-L1 immunoexpression with the clinicopathological characteristics and its prognostic significance in OPMD and OSCC – Cross sectional study </p>
Bioimpedance phase angle as a prognostic tool in late-onset pompe disease: a single-centre prospective study with a 15-year follow-up
<p>We reported the long-term follow-up of a population of Late onset Pompe disease treated with enzyme replacement therapy. Among predictors of treatment effectiveness and prognosis, we include body composition assessment by bioelectrical vectorial impedance.</p> <p><strong>Methods. </strong>In this single Centre, prospective study, we evaluate the response to enzyme replacement therapy in 15 patients (7 males) with LOPD in different stages of disease, aged 49.4+16.1, followed-up for 15 years. Treatment response was measured by the six-minute walking test, vital capacity in supine and upright position, respiratory muscle strength, muscle MRI, manual muscle testing. We investigated the usefulness of Body Impedance Vectorial Analysis for serial body composition assessment.</p> <p><strong>Results (in brief). </strong>Although most patients with LOPD benefit from long-term treatment, some secondary decline may occur after the first 3-5 years. Some nutritional (lower body mass index, higher fat free mass, higher phase angle) and disease parameters (higher creatinine and shorter disease duration at the beginning of treatment) seem to predict a better motor outcome. Lower Phase Angle may reflect loss of integrity of skeletal muscle membranes, resulting from lysosomal and autophagosomal dysregulation; this leads to treatment mis-targeting, and thus to worse treatment response, and ultimately to whole cell damage. Indeed, the muscle is one of the tissue with the highest rate of autophagosome formation and degradation. </p>
The Prognostic Value of COX-2 in Predicting Metastasis of Patients with Colorectal Cancer: A systematic review and meta analysis.
<p>The Prognostic Value of COX-2 in Predicting Metastasis of Patients with Colorectal Cancer: A systematic review and meta analysis.</p>
Assess the Prognostic Usefulness of Flutemetamol (18F) Injection for Identifying Subjects With Amnestic Mild Cognitive Impairment Who Will Convert to Clinically Probable Alzheimer's Disease
ClinicalTrials.gov study NCT01028053. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Determining the Prognostic Value of Continuous Intrathecal Infusion
ClinicalTrials.gov study NCT03523000. IPD Sharing: NO. Countries: 1. Publications: 8.
Trial of Prognostic Factors and Surgical Methods for the Treatment of Idiopathic Macular Holes
ClinicalTrials.gov study NCT00302328. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Real-PD Trial: Development of Clinical Prognostic Models for Parkinson's Disease
ClinicalTrials.gov study NCT02474329. IPD Sharing: Not stated. Countries: 1. Publications: 9.
A Study of Eltrombopag or Placebo in Combination With Azacitidine in Subjects With International Prognostic Scoring System (IPSS) Intermediate-1, Intermediate-2 or High-risk Myelodysplastic Syndromes
ClinicalTrials.gov study NCT02158936. IPD Sharing: Not stated. Countries: 30. Publications: 1.
Validation of a Prognostic Method for Assessing the Risk of Distant Metastasis in Early-stage Breast Cancer
ClinicalTrials.gov study NCT07372261. IPD Sharing: YES. Countries: 1. Publications: 1.
Clinical Characteristics, Frailty, and Prognostic Predictors in Patients Aged 75 and Older With Acute Coronary Syndrome
ClinicalTrials.gov study NCT07366684. IPD Sharing: YES. Countries: 1. Publications: 5.
Prognostic Impact of Increased Lymph Node Yield in Colorectal Cancer Patients With Synchronous Distant Metastasis: a Population-based Study of the US Database and a Chinese Registry
ClinicalTrials.gov study NCT05550701. IPD Sharing: NO. Countries: 1. Publications: 3.
Treatments for Brain Metastases With Poor Prognostic Factors
ClinicalTrials.gov study NCT05609162. IPD Sharing: NO. Countries: 1. Publications: 1.
Overweight and Obesity as Prognostic Factors for Survival in Children With Acute Lymphoblastic Leukemia
ClinicalTrials.gov study NCT04271215. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
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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.
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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.