OCT angiography (OCTA): investigating real-world experience in neovascular AMD new patient clinic when using OCTA compared to the gold standard FFA

Students of the origins and accomplishments of government regulation of economic activity have open suspected that the laws on which regulation is based were addressed to problems and conditions of the past that no longer prevailed, or — what is worse — assumptions about the “real world” that are highly unrealistic. This is Professor West's main conclusion about the Federal Reserve Act of 1913, especially as regards its discount rate and international exchange policies.

Download Full-text

Eyes that Do Not Meet the Eligibility Criteria of Clinical Trials on Age-Related Macular Degeneration: Proportion of the Real-World Patient Population and Reasons for Exclusion

Journal of Ophthalmology ◽

10.1155/2021/6635467 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Jae Hui Kim ◽

Jong Woo Kim ◽

Chul Gu Kim

Keyword(s):

Clinical Trials ◽

Visual Acuity ◽

Real World ◽

Age Related Macular Degeneration ◽

Subretinal Hemorrhage ◽

Neovascular Amd ◽

Eligibility Criteria ◽

Type 3 Neovascularization ◽

Age Related ◽

Type 3

Background. To evaluate the proportion of eyes that do not meet the eligibility criteria of clinical trials on neovascular age-related macular degeneration (AMD) and the reasons for exclusion. Methods. This retrospective, observational study included 512 eyes of 463 patients diagnosed with treatment-naïve neovascular AMD. The proportion of eyes that did not meet the eligibility criteria of the Vascular Endothelial Growth Factor Trap-Eye: Investigation of Efficacy and Safety in Wet AMD (VIEW) studies were evaluated. The two most common reasons for exclusion were also evaluated in each subtype of neovascular AMD (typical neovascular AMD, polypoidal choroidal vasculopathy (PCV), and type 3 neovascularization). Results. Among the 512 eyes, 229 (44.7%) did not meet the eligibility criteria. In all the included eyes, the most common reasons for exclusion were good or poor visual acuity (169 eyes, 33.0%), followed by the presence of subretinal hemorrhage (47 eyes, 9.5%). Moreover, good or poor visual acuity was the most common reason for exclusion in all three subtypes of neovascular AMD. The second most common reason was a fovea-involving scar or fibrosis in typical neovascular AMD, subretinal hemorrhage in PCV, and other vascular diseases affecting the retina in type 3 neovascularization. Conclusions. Among the included cases, 44.7% did not meet the eligibility criteria for VIEW study, suggesting that the conclusion derived from clinical trials may not directly reflect the real-world outcomes. Additionally, the reasons for ineligibility differed among the different subtypes of neovascular AMD.

Download Full-text

The cost-effectiveness of initiating ranibizumab therapy in eyes with neovascular AMD with good vision: an economic model using real-world outcomes

BMJ Open ◽

10.1136/bmjopen-2014-006535 ◽

2015 ◽

Vol 5 (5) ◽

pp. e006535-e006535 ◽

Cited By ~ 11

Author(s):

T. Butt ◽

A. Lee ◽

C. Lee ◽

A. Tufail ◽

W. Xing ◽

...

Keyword(s):

Cost Effectiveness ◽

Real World ◽

Economic Model ◽

Neovascular Amd ◽

The Cost ◽

Good Vision

Download Full-text

Trends in Real-World Neovascular AMD Treatment Outcomes in the UK

Clinical Ophthalmology ◽

10.2147/opth.s275977 ◽

2020 ◽

Vol Volume 14 ◽

pp. 3331-3342

Author(s):

Hemal Mehta ◽

Leah N Kim ◽

Thibaud Mathis ◽

Pardis Zalmay ◽

Faruque Ghanchi ◽

...

Keyword(s):

Treatment Outcomes ◽

Real World ◽

Neovascular Amd ◽

The Uk

Download Full-text

Implementing a hash-based privacy-preserving record linkage tool in the OneFlorida clinical research network

JAMIA Open ◽

10.1093/jamiaopen/ooz050 ◽

2019 ◽

Vol 2 (4) ◽

pp. 562-569 ◽

Cited By ~ 3

Author(s):

Jiang Bian ◽

Alexander Loiacono ◽

Andrei Sura ◽

Tonatiuh Mendoza Viramontes ◽

Gloria Lipori ◽

...

Keyword(s):

Clinical Research ◽

Open Source ◽

Real World ◽

Record Linkage ◽

Gold Standard ◽

Privacy Preserving ◽

Research Network ◽

Clinical Research Network ◽

Real World Setting ◽

Hash Codes

Abstract Objective To implement an open-source tool that performs deterministic privacy-preserving record linkage (RL) in a real-world setting within a large research network. Materials and Methods We learned 2 efficient deterministic linkage rules using publicly available voter registration data. We then validated the 2 rules’ performance with 2 manually curated gold-standard datasets linking electronic health records and claims data from 2 sources. We developed an open-source Python-based tool—OneFL Deduper—that (1) creates seeded hash codes of combinations of patients’ quasi-identifiers using a cryptographic one-way hash function to achieve privacy protection and (2) links and deduplicates patient records using a central broker through matching of hash codes with a high precision and reasonable recall. Results We deployed the OneFl Deduper (https://github.com/ufbmi/onefl-deduper) in the OneFlorida, a state-based clinical research network as part of the national Patient-Centered Clinical Research Network (PCORnet). Using the gold-standard datasets, we achieved a precision of 97.25∼99.7% and a recall of 75.5%. With the tool, we deduplicated ∼3.5 million (out of ∼15 million) records down to 1.7 million unique patients across 6 health care partners and the Florida Medicaid program. We demonstrated the benefits of RL through examining different disease profiles of the linked cohorts. Conclusions Many factors including privacy risk considerations, policies and regulations, data availability and quality, and computing resources, can impact how a RL solution is constructed in a real-world setting. Nevertheless, RL is a significant task in improving the data quality in a network so that we can draw reliable scientific discoveries from these massive data resources.

Download Full-text

Real-world visual acuity outcomes between ranibizumab and aflibercept in treatment of neovascular AMD in a large US data set

Eye ◽

10.1038/eye.2017.143 ◽

2017 ◽

Vol 31 (12) ◽

pp. 1697-1706 ◽

Cited By ~ 29

Author(s):

A Lotery ◽

R Griner ◽

A Ferreira ◽

F Milnes ◽

P Dugel

Keyword(s):

Visual Acuity ◽

Real World ◽

Neovascular Amd ◽

Data Set

Download Full-text

Does Pattern Recognition on OCT Angiography (OCTA) Help in the Prognosis of Neovascular AMD (nAMD)?

Acta Scientific Ophthalmology ◽

10.31080/asop.2021.04.0430 ◽

2021 ◽

pp. 53-58

Author(s):

Manoj Soman ◽

Sameer I ◽

Asmita Indurkar ◽

Ravi RV ◽

Narendra Meel ◽

...

Keyword(s):

Pattern Recognition ◽

Oct Angiography ◽

Neovascular Amd

Download Full-text

Heart Snapshot: a broadly validated smartphone measure of VO2max for collection of real world data

10.1101/2020.07.02.185314 ◽

2020 ◽

Author(s):

Dan E. Webster ◽

Meghasyam Tummalacherla ◽

Michael Higgins ◽

David Wing ◽

Euan Ashley ◽

...

Keyword(s):

Real World ◽

Gold Standard ◽

Large Scale ◽

Digital Health ◽

Clinical Care ◽

Skin Pigmentation ◽

Epidemiologic Studies ◽

Step Test ◽

Real World Data ◽

Laboratory Equipment

AbstractExpanding access to precision medicine will increasingly require that patient biometrics can be measured in remote care settings. VO2max, the maximum volume of oxygen usable during intense exercise, is one of the most predictive biometric risk factors for cardiovascular disease, frailty, and overall mortality.1,2 However, VO2max measurements are rarely performed in clinical care or large-scale epidemiologic studies due to the high cost, participant burden, and need for specialized laboratory equipment and staff.3,4 To overcome these barriers, we developed two smartphone sensor-based protocols for estimating VO2max: a generalization of a 12-minute run test (12-MRT) and a submaximal 3-minute step test (3-MST). In laboratory settings, Lins concordance for these two tests relative to gold standard VO2max testing was pc=0.66 for 12-MRT and pc=0.61 for 3-MST. Relative to “silver standards”5 (Cooper/Tecumseh protocols), concordance was pc=0.96 and pc=0.94, respectively. However, in remote settings, 12-MRT was significantly less concordant with gold standard (pc=0.25) compared to 3-MST (pc=0.61), though both had high test-retest reliability (ICC=0.88 and 0.86, respectively). These results demonstrate the importance of real-world evidence for validation of digital health measurements. In order to validate 3-MST in a broadly representative population in accordance with the All of Us Research Program6 for which this measurement was developed, the camera-based heart rate measurement was investigated for potential bias. No systematic measurement error was observed that corresponded to skin pigmentation level, operating system, or cost of the phone used. The smartphone-based 3-MST protocol, here termed Heart Snapshot, maintained fidelity across demographic variation in age and sex, across diverse skin pigmentation, and between iOS and Android implementations of various smartphone models. The source code for these smartphone measurements, along with the data used to validate them,6 are openly available to the research community.

Download Full-text

SEMANTIC GRAPH BASED TERM EXPANSION FOR SENTENCE-LEVEL SENTIMENT ANALYSIS

International Journal of Computing ◽

10.47839/ijc.19.4.2000 ◽

2020 ◽

pp. 647-655

Author(s):

Mohammed Maree ◽

Mujahed Eleyat

Keyword(s):

Sentiment Analysis ◽

Real World ◽

Gold Standard ◽

Semantic Networks ◽

Prototype System ◽

Analysis Techniques ◽

Negative Sentence ◽

Sentence Level ◽

Semantic Orientation

The semantic orientation (also referred to as prior polarity) of a word plays an important role in automatic sentence-level sentiment analysis. Several approaches have been proposed wherein a lexicon of words marked with their polarities is exploited to infer the meaning of sentences. However, relying on prior word polarity may produce inaccurate decisions. This is because we may find negative-sentence sentiments that include words with positive prior polarities or vice versa. In this article, we propose an approach to sentence-level sentiment analysis that exploits knowledge encoded in heavy-weight semantic graphs to assist in discovering the meaning of a word in the context of the sentence where it appears. In this context, we build contextual semantic networks for indexing sentences and expand them with semantically/lexically-relevant terms in an attempt to disambiguate the meanings of word mentions in sentences. In order to verify the effectiveness of the proposed approach, we have developed a prototype system using a real-world dataset that contains 46830 sentiment sentences along with a gold-standard that comprises 10000 movie reviews that are labelled under five sentiment categories (very negative, negative, neutral, positive, very positive). Findings indicate that enriching the semantic graphs of sentiment sentences with NOUN-based synonyms and hypernyms has improved the overall quality of baseline sentiment analysis techniques.

Download Full-text