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28,650 results for “trial”
Dataset accompanying the journal article: Bouldering psychotherapy is not inferior to cognitive behavioural therapy in the group treatment of depression: A randomized controlled trial
<p>SPSS-Dataset containing the (not-imputed) raw data for the non-inferiority trial on BPT vs. CBT. All personal data removed. Only data of participants of the CBT or BPT group included.</p>
PostConsumer r-PET Trials from Bottle&Tray Mix for Foam Board Production
<p>For Armacell, the challenges related to recycling PET tray material are the low intrinsic viscosity (IV), the frequent use of multilayer sheets in packaging trays and other contaminations coming from the mixed plastic household waste collection.</p> <p>To achieve the correct mechanical properties for the PET foam boards, it is essential to limit raw material variations and to master material melt viscosity and pressure in the extruder. With a combination of adapted processing parameters, as well as new melt modifier formulation, it is possible to produce foam boards from tray-PET that have a comparable quality to foam boards produced from bottle PET.</p> <p>Attached, different properties and results from the tested postconsumer material and the foam board produced are presented sown to the H2020 PlastiCircle Project.</p>
List of all proteins and chemicals mentioned in COVID-19 clinical trials
<p>A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov. This is an important resource that tracks worldwide research efforts directed towards improvements in treating the pandemic. To help unlock the insights buried in this database, in this work we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. We plan to publish further details in a subsequent publication. </p>
Polyphenols' Inflammation-mediated Deglucuronidation and Promiscuous-binding Behavior for Antiviral Assaying and Trialing
<p>Dataset based on EMSKE Phytochem's pre-existing library of more than 250 Pubchem compounds that supports the research work Polyphenols’ Inflammation-mediated Deglucuronidation and Promiscuous-binding Behavior for Antiviral Assaying and Trialing. It refers to Jasial et al. 2016's dataset uploaded to Zenodo, <br> <br> Jasial, S.; Hu, Y.; Bajorath, J. PubChem Compounds Tested in Primary and Confirmatory Assays, 2016<br> <br> located at https://doi.org/10.5281/zenodo.44593 , which itself supports their work Jasial et al 2017: <br> <br> Jasial, S.; Hu, Y.; Bajorath, J. Determining the Degree of Promiscuity of Extensively Assayed Compounds. PLOS ONE 2016, 11 (4), e0153873. https://doi.org/10.1371/journal.pone.0153873.</p>
SMA TB Clinical trial - Soweto site - Short story
<p>In this video a nurse from SMA-TB clinical trial research team from South Africa shows one working day from Soweto, Baragwanath Hospital. She also gives insight about challenges of running a clinical trial during the COVID-19 pandemic. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762.</p>
SMA-TB Clinical trial research team's thoughts and opinions
<p>In this video SMA-TB Clinical trial research team members from Georgia and South Africa share their thoughts and opinions regarding the SMA-TB project and its impact both at scientific and personal level. </p> <p>SMA-TB team comprises of doctors, nurses, laboratory technicians and administrative. This video gives opportunity to look at and think of SMA-TB project from different perspectives. </p> <p>SMA-TB project has received funding from the European Union's Horizon 2020 research and innovation programme under grant ageement No 847762</p>
A web-based tool for automatically linking clinical trials to their publications - example calculation
<p><strong>Objective</strong>: Evidence synthesis teams, physicians, policy makers, and patients and their families all have an interest in following the outcomes of clinical trials and would benefit from being able to evaluate both the results posted in trial registries and in the publications that arise from them. Manual searching for publications arising from a given trial is a laborious and uncertain process. We sought to create a statistical model to automatically identify PubMed articles likely to report clinical outcome results from each registered trial in ClinicalTrials.gov.</p> <p><strong>Materials and Methods</strong>: A machine learning-based model was trained on pairs (publications linked to specific registered trials). Multiple features were constructed based on the degree of matching between the PubMed article metadata and specific fields of the trial registry, as well as matching with the set of publications already known to be linked to that trial.</p> <p><strong>Results</strong>: Evaluation of the model using NCT-linked articles as gold standard showed that they tend to be top ranked (median best rank = 1.0), and 91% of them are ranked in the top ten.</p> <p><strong>Discussion</strong>: Based on this model, we have created a free, public web based tool at http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/TrialPubLinking/trial_pub_link_start.cgi that, given any registered trial in ClinicalTrials.gov, presents a ranked list of the PubMed articles in order of estimated probability that they report clinical outcome data from that trial. The tool should greatly facilitate studies of trial outcome results and their relation to the original trial designs.</p>
Availability of results of interventional trials assessing colorectal cancer over the past seven years
<p>Dataset used for our work "Availability of results of interventional trials assessing colorectal cancer over the past seven years."</p> <p>Part of the dataset was extracted from the AACT database (Clinical Trials Transformation Initiative) and part of the dataset was extracted by the authors.</p> <p>The list of trials are ordered by NTC number (from ClinicalTrials.gov).</p> <p> </p>
Availability of results of trials studying pancreatic adenocarcinoma over the past ten years.
<p>Dataset underlying our work "Availability of results of trials studying pancreatic adenocarcinoma over the past ten years".</p> <p>Data has been extracted either through AACT (Clinical Trials Transformation Initiative) or by the authors</p> <p>Trials are listed and organized by their NCT number (ClinicalTrials.gov)</p>
Selected articles from the scoping review on the study designs for clinical trials applied to personalised medicine
<p>The dataset provides the data extracted for the scoping review of the literature on the study designs for clinical trials applied to personalised medicine, as part of the EU project on “Personalised Medicine Trials” (PERMIT).</p> <p>The dataset reports the references for all articles selected as part of the scoping review, as well as information on the general study characteristics and definition, methodology, statistical considerations, and examples of each study design referred to in each included paper.</p>
IMU data from walking trials on a treadmill
<p>This dataset contains inertial measurement unit data from 10 treadmill walking trials. The subject is of legal age and wore a total of 12 Xsens MTw Awinda IMUs. More details in our publication (https://doi.org/10.7717/peerj.15097).</p> <p>Includes a readme file with details.</p>
Data from Viroplant Belgium field trial 2018
<p>This folder contains all relevant data and results of studying the impact of a bacteriophage-based plant protection product on natural bacterial communities as they occur on plants and root material from the EU Viroplant project at a field site in Belgium in 2018. The file contains 16S rRNA sequences and scripts for their analyses, identity tables of sequence variants, qPCR data, data on physicochemical soil characteristics and other information </p>
Bevacizumab plus erlotinib versus erlotinib alone as first line treatment of patients with EGFR-mutated advanced nonsquamous non-small cell lung cancer. BEVacizumab plus ERLotinib studY (BEVERLY): an academic, multicenter, randomised phase III trial.
<p>Background. Adding bevacizumab to erlotinib prolonged PFS of patients with EGFR-mutated advanced NSCLC in the Japanese NEJ026 trial, but limited data were available in non-Asian patients. BEVERLY is an Italian, multicenter, randomized phase III trial of bevacizumab plus erlotinib versus erlotinib alone as first-line treatment of advanced EGFR-mutated NSCLC.</p> <p>Methods. Eligible patients were randomized 1:1 to erlotinib (150mg daily) plus bevacizumab (15mg/kg iv q3w) or erlotinib alone, until disease progression or unacceptable toxicity. Center, ECOG PS and type of mutation (ex19 deletion vs ex21 L858R vs others) were stratification variables. Investigator-assessed PFS (IA-PFS) and blinded-independent centrally-reviewed PFS (BICR-PFS) were co-primary endpoints. With 80% power in detecting a 0·60 HR and 2–sided α error 0·05, 126 events out of 160 patients were needed. The trial was registered as NCT02633189 and EudraCT 2015-002235-17.</p> <p>Findings. From Apr 11, 2016 to Feb 27, 2019, 160 pts were randomized to erlotinib pus bevacizumab (80) or erlotinib alone (80). Baseline characteristics were balanced between arms; 34 (42·5%) patients in erlotinib plus bevacizumab arm and 43 (53·8%) in erlotinib arm were former or current smokers. At a median follow-up of 36·3 months, 140 PFS events (87·5%) were reported, 68 with erlotinib plus bevacizumab and 72 with erlotinib. Median IA-PFS was 15·4 months (95% CI 12·2–18·6) with erlotinib plus bevacizumab and 9·6 months (95% CI 8·2–10·6) with erlotinib (HR 0·66; 95%CI: 0·47–0·92). BICR-PFS analysis confirmed this result. A significant interaction with treatment effect was found for smoking habit (P=0·0323): former or current smokers receiving erlotinib plus bevacizumab had a longer PFS (16·9 months [95% CI 10·2–21·8] versus 8·8 months [95% CI 5·6–9·6]) than those receiving erlotinib alone.</p> <p>Hypertension (grade≥3: 24% vs 5%), skin rash (grade≥3: 31% vs 14%), thromboembolic events (any grade: 11% vs 4%), and proteinuria (any grade: 23% vs 6%) were more frequent with the combination treatment.</p> <p>Interpretation. The addition of bevacizumab to first-line erlotinib significantly prolonged PFS in Italian patients with EGFR-mutated NSCLC, without unexpected safety issues.</p>
WikiProject Clinical Trials snapshot February 2022
<p><strong>About this record</strong></p> <p>This data supports "WikiProject Clinical Trials for Wikidata", a preprint at <a href="https://doi.org/10.1101/2022.04.01.22273328">https://doi.org/10.1101/2022.04.01.22273328</a> . The files in this record are a snapshot of the content output and appearance of WikiProject Clinical Trials in February 2022. Access the project at <a href="https://www.wikidata.org/wiki/Wikidata:WikiProject_Clinical_Trials">https://www.wikidata.org/wiki/Wikidata:WikiProject_Clinical_Trials</a> . The Jupyter Notebook in this record (1 WikiProject Clinical Trials 2022-02.ipynb) contains the project's example SPARQL queries from call Wikidata content, and the data files are the present results from those queries. As anyone can edit Wikidata and its content grows with time, query results will change over time.</p> <p><strong>Background</strong><br> Wikidata is a community and database within the Wikipedia ecosystem. WikiProject Clinical Trials is a community project in Wikidata to curate data related to clinical trials for its use in the Wikimedia platform or export to elsewhere.</p> <p><strong>Queries</strong></p> <ul> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Model_profiles">1 Model profiles</a> <ul> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_for_Zika_fever">1.1 Clinical trials for Zika fever</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_using_COVID-19_vaccine">1.2 Clinical trials using COVID-19 vaccine</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_at_Vanderbilt_University">1.3 Clinical trials at Vanderbilt University</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_with_Julie_McElrath_as_principal_investigator">1.4 Clinical trials with Julie McElrath as principal investigator</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_funded_by_Patient-Centered_Outcomes_Research_Institute">1.5 Clinical trials funded by Patient-Centered Outcomes Research Institute</a></li> </ul> </li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Topics_by_count_of_clinical_trials">2 Topics by count of clinical trials</a> <ul> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Medical_conditions">2.1 Medical conditions</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Research_interventions">2.2 Research interventions</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Research_sites">2.3 Research sites</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Principal_investigators">2.4 Principal investigators</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Funders">2.5 Funders</a></li> </ul> </li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Organizational_affiliations">3 Organizational affiliations</a> <ul> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_with_principal_investigator_and_their_affiliation">3.1 Clinical trials with principal investigator and their affiliation</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_where_principal_investigator_has_Vanderbilt_University_affiliation">3.2 Clinical trials where principal investigator has Vanderbilt University affiliation</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Chart_of_organizations_by_count_of_clinical_trials">3.3 Chart of organizations by count of clinical trials</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_where_the_sponsor_was_Pfizer">3.4 Clinical trials where the sponsor was Pfizer</a></li> </ul> </li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Researcher_demographics">4 Researcher demographics</a> <ul> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Count_of_principal_investigators_by_gender">4.1 Count of principal investigators by gender</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Clinical_trials_where_the_principal_investigator_is_female">4.2 Clinical trials where the principal investigator is female</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Principal_investigators_by_occupation">4.3 Principal investigators by occupation</a></li> </ul> </li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Scope_of_Wikidata's_clinical_trials_content">5 Scope of Wikidata's clinical trials content</a> <ul> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#List_of_clinical_trials">5.1 List of clinical trials</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Count_of_clinical_trials">5.2 Count of clinical trials</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Most_common_properties_applied_to_clinical_trials">5.3 Most common properties applied to clinical trials</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Count_of_statements_in_clinical_trial_records">5.4 Count of statements in clinical trial records</a></li> <li><a href="https://www.wikidata.org/w/index.php?title=Wikidata:WikiProject_Clinical_Trials/Query&oldid=1585305957#Count_of_trial_records_in_Wikidata_per_clinical_trial_registry">5.5 Count of trial records in Wikidata per clinical trial registry</a></li> </ul> </li> </ul> <p><strong>Online access</strong></p> <p>Again, the project at Wikidata is at <a href="https://www.wikidata.org/wiki/Wikidata:WikiProject_Clinical_Trials">https://www.wikidata.org/wiki/Wikidata:WikiProject_Clinical_Trials</a> . The Wikidata Query Service accessible through the "Query" page there assists users in modifying these or any queries to search for different targets, such as other medical conditions or institutions of interest. Another way to access the content online is by accessing the notebook through a copy in GitHub, such as at <a href="https://github.com/bluerasberry/WikiProject-Clinical-Trials">https://github.com/bluerasberry/WikiProject-Clinical-Trials</a> and rendering it through an online viewer, such as <a href="https://mybinder.org">https://mybinder.org</a> , or use the direct link <a href="https://mybinder.org/v2/zenodo/10.5281/zenodo.6317047/">https://mybinder.org/v2/zenodo/10.5281/zenodo.6317047/</a> .</p> <p><strong>Images</strong></p> <p>While Wikidata does retain historical versions which should be perpetually archived and available through the project page, this record contains image screenshots of the project as it appears now. For additional image metadata visit the image archives in Wikimedia Commons as linked here:</p> <ul> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_screenshot_2022-02.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_screenshot_2022-02.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_home.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_home.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_model.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_model.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_query.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_query.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_curate.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_curate.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_about.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_about.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_talk.png">https://commons.wikimedia.org/wiki/File:Wikidata_WikiProject_Clinical_Trials_-_screenshot_-_2022-02_-_talk.png</a></li> <li><a href="https://commons.wikimedia.org/wiki/File:Noun_clinical_benchmarking_1958245.svg">https://commons.wikimedia.org/wiki/File:Noun_clinical_benchmarking_1958245.svg</a>, image by Bold Yellow</li> </ul>
Dataset of The Relationship Between Postoperative Opioid Analgesia and Sleep Apnea Severity in Patients Undergoing Hip Arthroplasty: A Randomized, Controlled, Triple-Blinded Trial
<p>This the dataset related to the article entitled "he Relationship Between Postoperative Opioid Analgesia and Sleep Apnea Severity in Patients Undergoing Hip Arthroplasty: A Randomized, Controlled, Triple-Blinded Trial".</p> <p>Purpose: Residual postoperative pain after hip arthroplasty is usually treated with oral opioids. While classic opioids are associated with respiratory depression and worsening of sleep apnea, tramadol has been reported to preserve respiratory function. However, this has not been investigated in a prospective trial using respiratory polygraphy. This randomized controlled triple-blinded trial tested the hypothesis that postoperative treatment with oral opioids such as oxycodone would increase sleep apnea severity, measured with a respiratory polygraphy, compared with oral tramadol.<br> Patients and Methods: Sixty patients undergoing hip arthroplasty under spinal anesthesia with 15 mg isobaric bupivacaine 0.5% were randomized to receive postoperative pain treatment with either oral oxycodone (controlled-release 10 mg every 12 hours and immediate-release 5 mg every 4 hours as needed) or oral tramadol (controlled-release 100 mg every 8 hours and immediate-release 50 mg every 4 hours as needed). Respiratory polygraphy was performed on the first postoperative night. The primary outcome was the apnea-hypopnea index in the supine position. Secondary outcomes included the oxygen desaturation index, postoperative pain scores and intravenous morphine consumption.<br> Results: Mean supine apnea-hypopnea index on postoperative night 1 was 11.3 events.h−1 (95% confidence interval, 4.8–17.7) in the oxycodone group and 10.7 (4.6–16.8) events.h−1 in the tramadol group (p=0.89). There were no significant differences between the oxycodone and tramadol groups with respect to any secondary sleep-related or pain-related outcomes.<br> Conclusion: Oral oxycodone did not increase sleep apnea severity measured using respiratory polygraphy compared with oral tramadol on the first postoperative night after hip arthroplasty.</p>
An annotated corpus of clinical trial publications supporting schema-based relational information extraction
<p>Repository of an annotated corpus of clinical trial abstracts supporting schema-based relational information extraction and the code for the inter-annotation agreement calculation and the baseline information extraction method.</p>
Early Virtual-Reality-Based Home Rehabilitation after Total Hip Arthroplasty: A Randomized Controlled Trial
<p>The benefits of early virtual-reality-based home rehabilitation following total hip arthroplasty (THA) have not yet been assessed. The aim of this randomized controlled study was to compare the efficacy of early rehabilitation via the Virtual Reality Rehabilitation System (VRRS) versus traditional rehabilitation in improving functional outcomes after THA. Subjects were randomized either to an experimental (VRRS; n = 21) or a control group (control; n = 22). All participants were invited to perform a daily home exercise program for rehabilitation after THA with different administration methods—namely, an illustrated booklet for the control group and a tablet with wearable sensors for the VRRS group. The primary outcome was the hip disability (HOOS JR). Secondary outcomes were the level of independence and the degree of global perceived effect of the rehabilitation program (GPE). Outcomes were measured before surgery (T0) and at the 4th (T1), 7th (T2), and 15th (T3) day after surgery. Mixed-model ANOVA showed no significant group effect but a significant effect of time for all variables (<em>p </em>< 0.001); no differences were observed in HOOS JR between VRRS and the control at T0, T1, T2, or T3. Further, no differences in the level of independence were found between VRRS and the control, whereas the GPE was higher at T3 in VRSS compared to the control (4.76 ± 0.43 vs. 3.96 ± 0.65; <em>p </em>< 0.001). Virtual-reality-based home rehabilitation resulted in similar improvements in functional outcomes with a better GPE compared to the traditional rehabilitation program following THA. The application of new technologies could offer novel possibilities for service delivery in rehabilitation.</p>
Rings in Clinical Trials and Drugs: Present and Future - Datasets
<p>"Rings in Clinical Trials and Drugs: Present and Future" - Datasets from publication in Journal of Medicinal Chemistry</p>
Human single-cell TCR data from irradiated sporozoite trial
<p>This is the MiAIRR-compliant single-cell AIRR-seq data of the study "Clonal evolution and TCR specificity of the human<br> TFH cell response to Plasmodium falciparum CSP" by Wahl <em>et al.,</em> <em>Sci Immunol</em> 7:eabm9644 (2022). The study defines the clonal evolution and epitope specificity of the human cTFH cell response to Plasmodium falciparum CSP.</p>
Patient and GP experiences of implementing a medication review intervention in older people with multimorbidity: process evaluation of the SPPiRE trial
<p>Abstract</p> <p><strong>Background: </strong>The SPPiRE cluster randomised controlled trial (RCT) found that a GP delivered medication review that incorporated screening potentially inappropriate prescriptions (PIP), a brown bag review and a patient priority assessment, resulted in a significant but small reduction in the number of medicines and no significant reduction in PIP.</p> <p><strong>Objective: </strong>To explore the experiences of GPs and patients engaged in the SPPiRE intervention and the potential for system wide implementation.</p> <p><strong>Design: </strong>Mixed methods process evaluation; quantitative data was collected from the SPPiRE intervention website and qualitative data via semi-structured interviews.</p> <p><strong>Setting and participants:</strong> 51 general practices throughout Ireland, and 404 participants with multimorbidity aged ≥65 years, prescribed ≥15 medicines participated in the RCT. Qualitative data was collected with purposive samples of intervention GPs (18/26) and patients (27/208). </p> <p><strong>Methods: </strong>Quantitative data was analysed descriptively, qualitative data thematically and both were integrated using a triangulation protocol.</p> <p><strong>Results: </strong>The analysis generated three themes, intervention implementation, mechanisms of action, and both were underpinned by the theme of context. One fifth of patients had no review, primarily due to insufficient GP time. The brown bag review component resulted in the most deprescription of medications. GPs felt it easier to change medicines if the patient was well known to them, and patients were generally receptive to change. GPs identified lack of integration into practice software systems and resources as barriers to future implementation.</p> <p><strong>Conclusion: </strong>Consideration of implementation of successful interventions is key to informing policy and integration into clinical practice. GPs and patients viewed the intervention positively, but implementation will depend on resourcing and integration into practice software systems.</p> <p>Trial registration number: <a href="https://doi.org/10.1186/ISRCTN12752680">ISRCTN12752680</a></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.