OHDSI MEETINGS THIS WEEK
OHDSI Community Call - Tuesday at 12pm EThttps://meetings.webex.com/collabs/#/meetings/detail?uuid=M59X2V1U61WC9ASID2Z5N3UT95-D1JL&rnd=811649.9868221
Patient-level prediction (Western hemisphere) workgroup meeting - Wednesday at 12pm EThttps://global.gotomeeting.com/join/972917661
Population-Level Estimation (Eastern hemisphere) workgroup meeting - Wednesday at 3pm Hong Kong timehttps://meetings.webex.com/collabs/meetings/join?uuid=M6WE9AOKFETH2VEFPVCZWWBIT0-D1JL
Architecture Working Group - Thursday at 1pm EThttps://jjconferencing.webex.com/mw3100/mywebex/default.do?service=1&main_url=%2Fmc3100%2Fe.do%3Fsiteurl%3Djjconferencing%26AT%3DMI%26EventID%3D283835502%26MTID%3Dmb7e839a762fbdaab0608f27500679223%26Host%3DQUhTSwAAAARK-_S6Kosdv23jLkqgL3r7r2_kmXe14dpWuPX_s-awpxIklc165xpM7OlFBUqACSQve0MmCqdtp1SllwRQjyjj0%26FrameSet%3D2&siteurl=jjconferencing&nomenu=true
GIS working group meeting - Monday (November 6th) at 10am EThttps://tufts.webex.com/mw3200/mywebex/default.do?service=1&siteurl=tufts&nomenu=true&main_url=%2Fmc3200%2Fe.do%3Fsiteurl%3Dtufts%26AT%3DMI%26EventID%3D562301137%26UID%3D528546812%26Host%3DQUhTSwAAAAT_EHuT3Ok-zHVhY1-kVGh78TH62dPsFk0x99qz1E9039sh_Eiepw8CoZeIF2SfnopQ8oAZaLN9PkzIZovRf2kV0%26FrameSet%3D2%26MTID%3Dm243d8e9a9c6c2d42d5182aeb5d30efdb1
ANNOUNCEMENTS
2017 OHDSI Symposium Materials - Presentation slides from this year’s symposium and tutorials have been uploaded here: https://www.ohdsi.org/past-events/
Symposium Videos - Recordings from the symposium will be made available on November 1st here: https://www.ohdsi.org/past-events/
One person’s crazyness is another person’s reality.
COMMUNITY PUBLICATIONS
The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.
A Sen, A Goldstein, S Chakrabarti, N Shang, T Kang, A Yaman, PB Ryan and C Weng,
Journal of the American Medical Informatics Association : JAMIA , Sep 2017 13
The population representativeness of a clinical study is influenced by how real-world patients qualify for the study. We analyze the representativeness of eligible patients for multiple type 2 diabetes trials and the relationship between representativeness and other trial characteristics.Sixty-nine study traits available in the electronic health record data for 2034 patients with type 2 diabetes were used to profile the target patients for type 2 diabetes trials. A set of 1691 type 2 diabetes trials was identified from ClinicalTrials.gov, and their population representativeness was calculated using the published Generalizability Index of Study Traits 2.0 metric. The relationships between population representativeness and number of traits and between trial duration and trial metadata were statistically analyzed. A focused analysis with only phase 2 and 3 interventional trials was also conducted.A total of 869 of 1691 trials (51.4%) and 412 of 776 phase 2 and 3 interventional trials (53.1%) had a population representativeness of <5%. The overall representativeness was significantly correlated with the representativeness of the Hba1c criterion. The greater the number of criteria or the shorter the trial, the less the representativeness. Among the trial metadata, phase, recruitment status, and start year were found to have a statistically significant effect on population representativeness. For phase 2 and 3 interventional trials, only start year was significantly associated with representativeness.Our study quantified the representativeness of multiple type 2 diabetes trials. The common low representativeness of type 2 diabetes trials could be attributed to specific study design requirements of trials or safety concerns. Rather than criticizing the low representativeness, we contribute a method for increasing the transparency of the representativeness of clinical trials.
A conceptual framework for evaluating data suitability for observational studies.
N Shang, C Weng and G Hripcsak,
Journal of the American Medical Informatics Association : JAMIA , Sep 2017 08
To contribute a conceptual framework for evaluating data suitability to satisfy the research needs of observational studies.Suitability considerations were derived from a systematic literature review on researchers' common data needs in observational studies and a scoping review on frequent clinical database design considerations, and were harmonized to construct a suitability conceptual framework using a bottom-up approach. The relationships among the suitability categories are explored from the perspective of 4 facets of data: intrinsic, contextual, representational, and accessible. A web-based national survey of domain experts was conducted to validate the framework.Data suitability for observational studies hinges on the following key categories: Explicitness of Policy and Data Governance, Relevance, Availability of Descriptive Metadata and Provenance Documentation, Usability, and Quality. We describe 16 measures and 33 sub-measures. The survey uncovered the relevance of all categories, with a 5-point Likert importance score of 3.9 ± 1.0 for Explicitness of Policy and Data Governance, 4.1 ± 1.0 for Relevance, 3.9 ± 0.9 for Availability of Descriptive Metadata and Provenance Documentation, 4.2 ± 1.0 for Usability, and 4.0 ± 0.9 for Quality.The suitability framework evaluates a clinical data source's fitness for research use. Its construction reflects both researchers' points of view and data custodians' design features. The feedback from domain experts rated Usability, Relevance, and Quality categories as the most important considerations.
Supervisors’ Perspective on Electronic Logbook System for Postgraduate Medical Residents of CPSP.
KM Gondal, U Iqbal, A Ahmed and JS Khan,
Journal of the College of Physicians and Surgeons--Pakistan : JCPSP , Sep 2017
To find out the perspective of the supervisors about the role of electronic logbook (E-Logbook) of College of Physicians and Surgeons, Pakistan (CPSP) in monitoring the training of postgraduate medical residents of CPSP.Descriptive cross-sectional study.College of Physicians and Surgeons Pakistan (CPSP), Karachi, from May to October 2015.An electronic computer-based questionnaire designed in Hypertext Preprocessor (PHP) language was distributed to the registered CPSPsupervisors through the e-log system. The questionnaire comprised of seven close ended questions. The data were entered and analyzed by SPSS version 20. Descriptive statistics were determined.Atotal of 1,825 supervisors responded to the questionnaire. Fifteen hundred and ninety-eight (87.6%) supervisors gave regular feedback for their trainees, 88.2% considered it a better monitoring tool than conventional logbook, 92.5% responded that e-logbook helped in the regular assessment of the trainees, 87.8% believe that quality of training will improve after introduction of e-logbook, 89.2% found e-logbook useful in implementation of outcome-based learning and 88.4% considered e-logbook user-friendly. The main reasons for not providing regular feedback included the supervisors not familiar to e-logbook interface, internet access problems, and busy schedules of supervisors.There was a wide acceptability of the e-log system among the supervisors with positive perception about its usefulness. The common reasons that hinder the provision of regular feedback include not being familiar to e-log interface, internet access problem, busy schedule and some consider using e-logbook a cumbersome task. These reasons can be alleviated to provide a better training monitoring system for the residents.
Healthcare quality improvements through hospital accreditation compliance and effective procedure use.
W Chen, U Iqbal and YJ Li,
International journal for quality in health care : journal of the International Society for Quality in Health Care , Oct 2017 01
High-fidelity phenotyping: richness and freedom from biashttps://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/jamia/PAP/10.1093_jamia_ocx110/1/ocx110.pdf?Expires=1509484334&Signature=E7d9n0OFJMpv7tvMmwMepD3VhEM8TIXrTXab~Eknz1EGWAki5hLEUmBGynecnEpIIBmhsPoiULmwjAYdrJAz2vr-ocwP4Mli1qH7Wv8xLFl4DmB4TuEI6ulbR2hWZJp0nHeg5ZM5BQmyjSVdoqwH4s5oIeEgPJ6FRJDvMtPkEmvjcr6DZg77FGqq63FgyTJK23fWCVZPSkStdJZnRBEaRGVrf6rpy~TwJ2-aC~1PDjm6hXSOjTRo4dU8HGhAoa7bXbmZMMUaBthgMnUj1xT5AuX3tDBFZFzejFo88kXbsKvDQeCq8eAwiOSwvRVbSc6hv4YBdkn~jb4OYnH1KgAcYw__&Key-Pair-Id=APKAIUCZBIA4LVPAVW3Q
The smartAPI ecosystem for making web APIs FAIR
Mining new applications from current algorithms.
Antidepressants and the risk of arrhythmia in elderly affected by a previous cardiovascular disease: a real-life investigation from Italy.
A Biffi, F Rea, L Scotti, A Mugelli, E Lucenteforte, A Bettiol, A Chinellato, G Onder, C Vitale, N Agabiti, G Trifirò, G Roberto and G Corrao,
European journal of clinical pharmacology , Jan 2018
The study aimed to fill existing knowledge gaps on the safety of antidepressant drugs (ADs) by estimating the risk of hospitalization for arrhythmia associated with use of selective serotonin reuptake inhibitors (SSRIs) and newer atypical ADs (NAAs) among elderly with previous cardiovascular (CV) events.The cohort was composed by 199,569 individuals aged ≥ 65 years from five Italian healthcare territorial units who were discharged for cardiovascular outcomes in the years 2008-2010. The 17,277 patients who experienced hospital admission for arrhythmia during follow-up were included as cases. Odds of current ADs use among cases (i.e., 14 days before hospital admission) was compared with (i) odds of current use of 1:5 matched controls (between-patients case-control) and with (ii) odds of previous use during 1:5 matched control periods (within-patient case-crossover). The risk of arrhythmia associated with ADs current use was modelled fitting a conditional logistic regression. A set of sensitivity analyses was performed to account for sources of systematic uncertainty.Current users of SSRIs and NAAs were at increased risk of arrhythmia with case-control odds ratios (OR) of 1.37 (95% confidence interval, CI 1.18 to 1.58) and 1.41 (1.16 to 1.71) and case-crossover OR of 1.48 (1.20 to 1.81) and 1.72 (1.31 to 2.27). An increased risk of arrhythmia was associated with current use of trazodone (NAA) consistently in case-control and case-crossover designs.Evidence that current use of SSRIs and NAAs is associated to an increased risk of arrhythmia among elderly with CV disease was consistently supplied by two observational approaches.
Uncovering exposures responsible for birth season - disease effects: a global study.
MR Boland, P Parhi, L Li, R Miotto, R Carroll, U Iqbal, PA Nguyen, M Schuemie, SC You, D Smith, S Mooney, P Ryan, YJ Li, RW Park, J Denny, JT Dudley, G Hripcsak, P Gentine and NP Tatonetti,
Journal of the American Medical Informatics Association : JAMIA , Sep 28 2017
Birth month and climate impact lifetime disease risk, while the underlying exposures remain largely elusive. We seek to uncover distal risk factors underlying these relationships by probing the relationship between global exposure variance and disease risk variance by birth season.This study utilizes electronic health record data from 6 sites representing 10.5 million individuals in 3 countries (United States, South Korea, and Taiwan). We obtained birth month-disease risk curves from each site in a case-control manner. Next, we correlated each birth month-disease risk curve with each exposure. A meta-analysis was then performed of correlations across sites. This allowed us to identify the most significant birth month-exposure relationships supported by all 6 sites while adjusting for multiplicity. We also successfully distinguish relative age effects (a cultural effect) from environmental exposures.Attention deficit hyperactivity disorder was the only identified relative age association. Our methods identified several culprit exposures that correspond well with the literature in the field. These include a link between first-trimester exposure to carbon monoxide and increased risk of depressive disorder (R = 0.725, confidence interval [95% CI], 0.529-0.847), first-trimester exposure to fine air particulates and increased risk of atrial fibrillation (R = 0.564, 95% CI, 0.363-0.715), and decreased exposure to sunlight during the third trimester and increased risk of type 2 diabetes mellitus (R = -0.816, 95% CI, -0.5767, -0.929).A global study of birth month-disease relationships reveals distal risk factors involved in causal biological pathways that underlie them.
Morbidity, mortality and cost from HPV-related oropharyngeal cancer: Impact of 2-, 4- and 9-valent vaccines.
G Ward, V Mehta and M Moore,
Human vaccines & immunotherapeutics , 2016 06 02
The incidence of oropharyngeal squamous cell carcinoma (OPSCC) related to human papillomavirus (HPV) is increasing at a dramatic rate, with men affected more commonly than women. Individuals who develop this disease suffer significant morbidity and potential mortality from their cancer and its associated treatment. We aim to evaluate the possible impact that the currently available HPV vaccines will have on this group of cancers.Available peer-reviewed literature, practice guidelines, and statistics published by the Center for Disease Control and Prevention.Contemporary peer-reviewed medical literature was selected based on its scientific validity and relevance to the impact HPV vaccination may have on the morbidity, mortality and cost resulting from HPV-related OPSCC in the United States.The incidence of HPV-related OPSCC is increasing at a near epidemic rate in the United States. The cost of treatment of HPV-related OPSCC is high, and the disease and its therapy result in significant morbidity and potential mortality to individuals. Using a cut-off of $50,000/Quality-Adjusted Life Year, expansion of current HPV vaccine indications to include prevention of OPSCC in both men and women should be recommended.
