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670 results for “review study”

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ClinicalTrials.gov20/100

Review and Assessment of Network Meta-analyses for Knowledge Uptake Study

ClinicalTrials.gov study NCT03283592. IPD Sharing: Not stated. Countries: 0. Publications: 0.

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

A Systematic Review of Studies of the Effect of Influenza Vaccine Against Mismatched Strains

ClinicalTrials.gov study NCT01416597. IPD Sharing: Not stated. Countries: 0. Publications: 0.

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

Study to Eval Relation Btw Doctor/Pharmacy Shopping & Outcomes of Misuse, Diversion, Abuse, Addiction by Med Rec Review

ClinicalTrials.gov study NCT02667210. IPD Sharing: Not stated. Countries: 0. Publications: 0.

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

Outcomes of mCRPC Patients Treated With Ra-223 Concomitant With Abiraterone or Enzalutamide- A Chart Review Study

ClinicalTrials.gov study NCT03325127. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo16/100

Dataset related to article "Gamma Knife Radiosurgery for the Treatment of Trigeminal Neuralgia in Patients with Multiple Sclerosis: A Single-Center Retrospective Study and Literature Review" "

<p>This record contains raw data related to article &ldquo;Gamma Knife Radiosurgery for the Treatment of Trigeminal Neuralgia in Patients with Multiple Sclerosis: A Single-Center Retrospective Study and Literature Review&quot;</p> <p><strong>Objective: </strong> Trigeminal neuralgia (TN) in patients with multiple sclerosis (MS) is a challenging condition to manage that is treated with Gamma Knife radiosurgery (GKRS). The aim of this report is to assess the safety, efficacy, and durability of GKRS for the treatment of TN in patients with MS. Our findings are compared with those of the existing literature and discussed.</p> <p><strong>Methods: </strong> We retrospectively reviewed all patients at our institution who underwent GKRS for the treatment of TN secondary to MS and had 1 or more years of follow-up. Preoperative and postoperative pain intensities and facial numbness were evaluated with the Barrow Neurological Institute scores. Durability of successful pain relief was statistically evaluated with Kaplan-Meier analysis. The prognostic role of perioperative factors was investigated and analyzed using Cox proportional hazards regression.</p> <p><strong>Results: </strong> There were 29 patients with MS-TN who underwent GKRS at our institution. Two patients underwent bilateral treatment. Four patients underwent repeat GKRS for pain recurrence. The median period of follow-up assessment was 33 months. Rates of reasonable pain reduction at 1, 3, and 5 years were 70%, 57%, and 57% respectively. All patients who underwent repeat GKRS had durable pain reduction. No prognostic factor for successful pain reduction was found.</p> <p><strong>Conclusions: </strong> Our study shows that GKRS for the treatment of TN secondary to MS is a safe and effective procedure in controlling pain in the short term but often fails to provide long-term pain control. GKRS can be safely repeated to prolong the time of pain reduction.</p>

restrictedFeb 2022View details →
zenodo12/100

Replication Package for the Paper: "Code Smells Detection via Code Review: An Empirical Study"

<p>This&nbsp;repository&nbsp;contains&nbsp;the&nbsp;data&nbsp;and&nbsp;results&nbsp;from&nbsp;the&nbsp;paper&nbsp;&quot;Code&nbsp;Smells&nbsp;Detection&nbsp;via&nbsp;Code&nbsp;Review:&nbsp;An&nbsp;Empirical&nbsp;Study&quot;&nbsp;submitted&nbsp;to&nbsp;ESEM&nbsp;2020.</p> <p>&nbsp;</p> <p><strong>1. data&nbsp;folder</strong></p> <p>The&nbsp;data&nbsp;folder&nbsp;contains&nbsp;the&nbsp;retrieved&nbsp;269&nbsp;reviews&nbsp;that&nbsp;discuss&nbsp;code&nbsp;smells.&nbsp;Each&nbsp;review&nbsp;includes&nbsp;four&nbsp;parts:&nbsp;Code&nbsp;Change&nbsp;URL,&nbsp;Code&nbsp;Smell&nbsp;Term,&nbsp;Code&nbsp;Smell&nbsp;Discussion,&nbsp;and&nbsp;Source&nbsp;Code&nbsp;URL.</p> <p>&nbsp;</p> <p><strong>2. scripts&nbsp;floder</strong></p> <p>The&nbsp;scripts&nbsp;folder&nbsp;contains&nbsp;the&nbsp;Python&nbsp;script&nbsp;that&nbsp;was&nbsp;used&nbsp;to&nbsp;search&nbsp;for&nbsp;code&nbsp;smell&nbsp;terms&nbsp;and&nbsp;the&nbsp;list&nbsp;of&nbsp;code&nbsp;smell&nbsp;terms.</p> <ul> <li><em>smell-term/general_smell_terms.txt</em>&nbsp;contains&nbsp;general&nbsp;code&nbsp;smell&nbsp;terms,&nbsp;such&nbsp;as&nbsp;&quot;code&nbsp;smell&quot;.</li> <li><em>smell-term/specific_smell_terms.txt</em>&nbsp;contains&nbsp;specific&nbsp;code&nbsp;smell&nbsp;terms,&nbsp;such&nbsp;as&nbsp;&quot;dead&nbsp;code&quot;.</li> <li><em>smell-term/misspelling_terms_of_smell.txt</em>&nbsp;contains&nbsp;the&nbsp;misspelling&nbsp;terms&nbsp;of&nbsp;&#39;smell&#39;,&nbsp;such&nbsp;as&nbsp;&quot;ssell&quot;.</li> <li><em>get_changes.py</em>&nbsp;is&nbsp;used&nbsp;for&nbsp;getting&nbsp;code&nbsp;changes&nbsp;from&nbsp;OpenStack.</li> <li><em>get_comments.py</em>&nbsp;is&nbsp;used&nbsp;for&nbsp;getting&nbsp;review&nbsp;comments&nbsp;for&nbsp;each&nbsp;code&nbsp;change.</li> <li><em>smell_search.py</em>&nbsp;is&nbsp;used&nbsp;for&nbsp;searching&nbsp;review&nbsp;comments&nbsp;that&nbsp;contain&nbsp;code&nbsp;smell&nbsp;terms.</li> </ul> <p>&nbsp;</p> <p><strong>3. project&nbsp;folder</strong></p> <p>The&nbsp;project&nbsp;folder&nbsp;contains&nbsp;the&nbsp;MAXQDA&nbsp;project&nbsp;files.&nbsp;The&nbsp;files&nbsp;can&nbsp;be&nbsp;opened&nbsp;by&nbsp;MAXQDA&nbsp;12&nbsp;or&nbsp;higher&nbsp;versions,&nbsp;which&nbsp;are&nbsp;available&nbsp;at&nbsp;https://www.maxqda.com/&nbsp;for&nbsp;download.&nbsp;You&nbsp;may&nbsp;also&nbsp;use&nbsp;the&nbsp;free&nbsp;14-day&nbsp;trial&nbsp;version&nbsp;of&nbsp;MAXQDA&nbsp;2018,&nbsp;which&nbsp;is&nbsp;available&nbsp;at&nbsp;https://www.maxqda.com/trial&nbsp;for&nbsp;download.</p> <ul> <li><em>Data&nbsp;Labeling&nbsp;&amp;&nbsp;Encoding&nbsp;for&nbsp;RQ2.mx12</em>&nbsp;is&nbsp;the&nbsp;results&nbsp;of&nbsp;data&nbsp;labeling&nbsp;and&nbsp;encoding&nbsp;for&nbsp;RQ2,&nbsp;which&nbsp;were&nbsp;analyzed&nbsp;by&nbsp;the&nbsp;MAXQDA&nbsp;tool.</li> <li><em>Data&nbsp;Labeling&nbsp;&amp;&nbsp;Encoding&nbsp;for&nbsp;RQ3.mx12</em>&nbsp;is&nbsp;the&nbsp;results&nbsp;of&nbsp;data&nbsp;labeling&nbsp;and&nbsp;encoding&nbsp;for&nbsp;RQ3,&nbsp;which&nbsp;were&nbsp;analyzed&nbsp;by&nbsp;the&nbsp;MAXQDA&nbsp;tool.</li> </ul>

restrictedMay 2020View details →
zenodo12/100

Replication Package for the Paper: "Code Smells Detection via Code Review: An Empirical Study"

<p>This&nbsp;repository&nbsp;contains&nbsp;the&nbsp;data&nbsp;and&nbsp;results&nbsp;from&nbsp;the&nbsp;paper&nbsp;&quot;Code&nbsp;Smells&nbsp;Detection&nbsp;via&nbsp;Code&nbsp;Review:&nbsp;An&nbsp;Empirical&nbsp;Study&quot;&nbsp;submitted&nbsp;to&nbsp;ESEM&nbsp;2020.</p> <p>&nbsp;</p> <p><strong>1. data&nbsp;folder</strong></p> <p>The&nbsp;data&nbsp;folder&nbsp;contains&nbsp;the&nbsp;retrieved&nbsp;269&nbsp;reviews&nbsp;that&nbsp;discuss&nbsp;code&nbsp;smells.&nbsp;Each&nbsp;review&nbsp;includes&nbsp;four&nbsp;parts:&nbsp;Code&nbsp;Change&nbsp;URL,&nbsp;Code&nbsp;Smell&nbsp;Term,&nbsp;Code&nbsp;Smell&nbsp;Discussion,&nbsp;and&nbsp;Source&nbsp;Code&nbsp;URL.</p> <p>&nbsp;</p> <p><strong>2. scripts&nbsp;floder</strong></p> <p>The&nbsp;scripts&nbsp;folder&nbsp;contains&nbsp;the&nbsp;Python&nbsp;script&nbsp;that&nbsp;was&nbsp;used&nbsp;to&nbsp;search&nbsp;for&nbsp;code&nbsp;smell&nbsp;terms&nbsp;and&nbsp;the&nbsp;list&nbsp;of&nbsp;code&nbsp;smell&nbsp;terms.</p> <ul> <li><em>smell-term/general_smell_terms.txt</em>&nbsp;contains&nbsp;general&nbsp;code&nbsp;smell&nbsp;terms,&nbsp;such&nbsp;as&nbsp;&quot;code&nbsp;smell&quot;.</li> <li><em>smell-term/specific_smell_terms.txt</em>&nbsp;contains&nbsp;specific&nbsp;code&nbsp;smell&nbsp;terms,&nbsp;such&nbsp;as&nbsp;&quot;dead&nbsp;code&quot;.</li> <li><em>smell-term/misspelling_terms_of_smell.txt</em>&nbsp;contains&nbsp;the&nbsp;misspelling&nbsp;terms&nbsp;of&nbsp;&#39;smell&#39;,&nbsp;such&nbsp;as&nbsp;&quot;ssell&quot;.</li> <li><em>get_changes.py</em>&nbsp;is&nbsp;used&nbsp;for&nbsp;getting&nbsp;code&nbsp;changes&nbsp;from&nbsp;OpenStack.</li> <li><em>get_comments.py</em>&nbsp;is&nbsp;used&nbsp;for&nbsp;getting&nbsp;review&nbsp;comments&nbsp;for&nbsp;each&nbsp;code&nbsp;change.</li> <li><em>smell_search.py</em>&nbsp;is&nbsp;used&nbsp;for&nbsp;searching&nbsp;review&nbsp;comments&nbsp;that&nbsp;contain&nbsp;code&nbsp;smell&nbsp;terms.</li> </ul> <p>&nbsp;</p> <p><strong>3. project&nbsp;folder</strong></p> <p>The&nbsp;project&nbsp;folder&nbsp;contains&nbsp;the&nbsp;MAXQDA&nbsp;project&nbsp;files.&nbsp;The&nbsp;files&nbsp;can&nbsp;be&nbsp;opened&nbsp;by&nbsp;MAXQDA&nbsp;12&nbsp;or&nbsp;higher&nbsp;versions,&nbsp;which&nbsp;are&nbsp;available&nbsp;at&nbsp;https://www.maxqda.com/&nbsp;for&nbsp;download.&nbsp;You&nbsp;may&nbsp;also&nbsp;use&nbsp;the&nbsp;free&nbsp;14-day&nbsp;trial&nbsp;version&nbsp;of&nbsp;MAXQDA&nbsp;2018,&nbsp;which&nbsp;is&nbsp;available&nbsp;at&nbsp;https://www.maxqda.com/trial&nbsp;for&nbsp;download.</p> <ul> <li><em>Data&nbsp;Labeling&nbsp;&amp;&nbsp;Encoding&nbsp;for&nbsp;RQ2.mx12</em>&nbsp;is&nbsp;the&nbsp;results&nbsp;of&nbsp;data&nbsp;labeling&nbsp;and&nbsp;encoding&nbsp;for&nbsp;RQ2,&nbsp;which&nbsp;were&nbsp;analyzed&nbsp;by&nbsp;the&nbsp;MAXQDA&nbsp;tool.</li> <li><em>Data&nbsp;Labeling&nbsp;&amp;&nbsp;Encoding&nbsp;for&nbsp;RQ3.mx12</em>&nbsp;is&nbsp;the&nbsp;results&nbsp;of&nbsp;data&nbsp;labeling&nbsp;and&nbsp;encoding&nbsp;for&nbsp;RQ3,&nbsp;which&nbsp;were&nbsp;analyzed&nbsp;by&nbsp;the&nbsp;MAXQDA&nbsp;tool.</li> </ul>

restrictedMay 2020View details →
zenodo12/100

Adjunctive vortioxetine for SSRI-resistant major depressive disorder: a ''real-world'' chart review study

<p>Adjunctive vortioxetine for SSRI-resistant major<br> depressive disorder: a &lsquo;&lsquo;real-world&rsquo;&rsquo; chart review study</p> <p>Objective: Selective serotonin reuptake inhibitors (SSRIs) are the cornerstone of treatment of major<br> depressive disorder (MDD). However, non-response is common, often necessitating combination<br> strategies. The present study assessed the efficacy of vortioxetine as an add-on therapy in patients<br> with SSRI-resistant MDD.<br> Methods: The charts of 36 adult outpatients with DSM-IV-TR MDD who had not achieved a response<br> after at least 8 weeks of treatment with an SSRI were reviewed retrospectively. Subjects were treated<br> with vortioxetine (5-20 mg/day) for 8 weeks added to the current SSRI. The main outcome measures<br> were change from baseline in total Hamilton Scale for Depression (HAM-D) score and the rate of<br> response (a 50% or greater reduction in HAM-D score and a Clinical Global Impression - Improvement<br> module [CGI-I] score of 1 or 2 at endpoint). HAM-D scores p 7 were considered as remission.<br> Additional outcome measures included the Snaith-Hamilton Pleasure Scale (SHAPS) and the Scale<br> for Suicide Ideation (SSI).<br> Results: 32 patients completed the 8 weeks of treatment. At 8 weeks, a significant reduction in HAM-D<br> score was observed (p p 0.001), with response obtained by 41.7% and remission by 33.3% of<br> patients. Significant reductions in SHAPS and SSI were also observed (p p 0.001 for both scales).<br> Conclusions: Adjunctive vortioxetine may be useful and well-tolerated in stage I treatment-resistant<br> depression. However, the limitations of this study (such as small sample size, absence of<br> randomization and control group, retrospective design, etc.) must be considered.</p>

restrictedJan 2022View details →
zenodo12/100

Dataset related to article "Mutation profile and immunoscore signature in thymic carcinomas: An exploratory study and review of the literature"

<p>This record contains raw data related to article &ldquo;Mutation profile and immunoscore signature in thymic carcinomas: An exploratory study and review of the literature&quot;</p> <p><strong>Background: </strong> Significant efforts have been made to investigate the molecular pathways involved in thymic carcinogenesis. However, genetic findings have still not impacted clinical practice. The aim of this exploratory trial was to evaluate the immunoscore and molecular profile of a series of thymic carcinomas (TCs), correlating this data with clinical outcome.</p> <p><strong>Methods: </strong> Formalin-fixed, paraffin-embedded (FFPE) TC tissues were retrieved from our center archive. The immunoscore was evaluated according to Angell and Gallon. DNA was extracted from FFPE tumor samples and, when available, from adjacent histologically normal tissues. Next-generation sequencing (NGS) was performed targeting hotspot regions of 50 oncogenes and tumor suppressor genes.</p> <p><strong>Results: </strong> A series of 15 TCs were analyzed. After a median follow-up of 82.4 months, the median overall survival was 104.7 months. The immunoscore was &gt;2 in 5/15 patients (33%). Among the investigated genes, absence of mutations was observed in 5/15 patients (33%), whereas three variants in 1/15 (6%) patient, two variants in 4/15 (26%) patients, and one variant in 5/15 patients (33%) were found. The most recurrently mutated genes were FGFR3 (five mutations) and CDKN2A (three mutations, two of which were nonsense). Patients with CDKN2A loss showed a statistically significantly worse survival (P = 0.0013), whereas patients with FGFR3 mutations showed a statistically significantly better survival (P = 0.048).</p> <p><strong>Conclusions: </strong> This study adds data to the few existing reports on the mutational landscape of TCs, providing the first comprehensive analysis to date. Here, we confirm the low rate of mutations in TCs and suggest FGFR3 and CDKN2A mutations as intriguing potential therapeutic targets.</p>

restrictedJan 2022View details →
zenodo12/100

In defence of the guidance theory? A systematic review and meta-analysis of studies on the association between maxillary lateral incisor agenesis and displacement or impaction of the permanent canine

<p>Dataset for all analyses</p>

restrictedcc-by-4.0Jul 2024View 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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.