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Pico intro modifedversion

Trials Search Co-ordinator
Dec. 8, 2016
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Pico intro modifedversion

  1. Annotating Evidence why, what, how Lessons learnt Alexander Garcia, PhD & Deirdre Beecher, MSc **Some information on the slides has been taken from the following source: Alexander Garcia Castro Developing ontologies in the biological domain A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland, Institute for Molecular Bioscience (September 2007)
  2. Why are we annotating? Moving from Static to Dynamic
  3. We want to… • To facilitate asking questions to the Cochrane library • In simple terms, using vocabularies and relations researchers and clinicians understand • What treatments are effective for acute alcohol withdrawal syndrome (AWS) not adequately controlled with benzodiazepines? • To do content enrichment • By identifying and relating concepts to existing ontologies • By identifying and structuring evidence • To contribute to sematic interoperability in health care and life sciences • We are exposing evidence that machines can process • Linking Cochrane evidence to external sources– and vice versa • Our technology Linked Data • Third parties will be able to easily consume our content
  4. What are we annotating? From the whole to the part
  5. PICO • P Patient, Population • How would I describe a group of patients similar to mine? • I Intervention • Which is the main intervention, prognostic factor, or exposure am I considering? • C Comparison • What is the main alternative to compare with the intervention? • O Outcome • What would you like to measure or achieve. What can I hope to accomplish, measure, improve, or affect?
  6. What are we annotating? Intervention and Comparison PICO Population Outcome Condition Sex Age Male, female, or both MeSH category Materials Procedure How often How much How long OHDSI vocabulary (selected) OHDSI vocabulary (selected) OHDSI vocabulary (selected) Outcome Type COMET classification Schedule Dose Duration Unit value Unit Unit value Unit Unit value Unit Free text Type Davey et al classification Pregnant, aged between 16 and 28 with preeclampsia Dose regimes for administration of Magnesium sulfate What outcomes are there For this comparison? Steroids vs what? Is better for baby’s lungs? WHO-ATC RxNORM SNOMED-MEDRA SNOMED-MEDRA SNOMED-MEDRA
  7. DOI: 10.2353/jmoldx.2009.090037 CITATION-ID: 39306481 JOURNAL-TITLE: The Journal of Molecular Diagnostics JOURNAL-CITE-ID: 58207 BOOK-CITE-ID: SERIES- ID: DEPOSIT-TIMESTAMP: 20110701073812000 OWNER: 10.1016 LAST-UPDATE: 2011-07-04 21:13:59 PRIME-DOI: none Metadata Indirectly about the content Describes a file Is this enough for answering a question?
  8. The Semantic Web The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in co- operation. diagnosis of chronic asthma children and adults BDP versus BUD delivered by oral inhalation Oropharyngeal side effects (hoarseness, sore throat, oral Candidiasis) In vitro studies assessing pharmacodynamic properties have shown differences between BDP and BUD
  9. Male and Female, Child, Preschool 2-5 years and Child 6-12 years and Adolescent 13-18 years and Young Adult 19-24 years and Adult 19-44 years and Middle Aged 45-64 years and Aged 65-79 years and Aged, 80 and over 80+ years: Asthma; “Studies of both children and adults were included, but patients under two years of age were excluded. To be eligible, participants had to have a diagnosis of chronic asthma. Studies conducted in both primary and secondary care settings were considered.” Interventions: [Pharmacological] Beclometasone Beclomethasone dipropionate versus budesonide delivered by oral inhalation Efficacy related Clinic measured FEV1 and PEF, diary card morning and evening PEF, diurnal variability in PEF Safety related Hypothalamo-pituitary-adrenal (HPA) axis function reflected in serum and urinary cortisol measures and clinical adrenal insufficiency P I C O Each drug had to be delivered at the same nominal daily dose. Nominal dose was calculated as the valve dose multiplied by the number of actuations per day…. BDP versus BUD delivered by oral inhalation Physiological or clinical - lung function Resource use - Asthma exacerbations: hospital admission, emergency room attendance, unscheduled primary care visits, days off school or work
  10. - Experimental intervention Benzodiazepines alone or in combination with other drugs - Control Intervention Placebo; Other pharmacological interventions [No active intervention] Placebos: Physiological or clinical - Alcohol Withdrawal Syndrome; Alcohol dependent patients diagnosed in accordance with appropriate standardized criteria (e.g., criteria of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-R) or ICD)…NOT mental Disability AND condition Alcoholism What treatments are effective for acute alcohol withdrawal syndrome (AWS) not adequately controlled with benzodiazepines? Annotations and Evidence Finding the evidence
  11. From Concepts to Web-Knowledge concept = ”An abstract entity signifying a general characterizing idea or universal which acts as a category for instances. The unit of semantics (meaning), the node in some mental or knowledge organization system.” Diclofenac A non-steroidal anti-inflammatory agent (NSAID) with antipyretic and analgesic actions. It is primarily available as the sodium salt. [PubChem] has evidence for reactions Has adverse effects Diclofenac-K sachet 50 mg, n = 291 DrugBank Has approved prescription products Adverse reactions to nonsteroidal anti-inflammatory drugs. Diclofenac compared with other nonsteroidal anti- inflammatory drugs. PMC nausea, upper stomach pain, itching, loss of appetite, dark urine, clay- colored stools, jaundice (yellowing of the skin or eyes) TGA
  12. How are we annotating? Ontologies and Semantics
  13. Often confused with CVs Ontologies are constantly evolving Ontologies facilitate classification, inference, reasoning about data Representation of the reality They are re related to data, represent data, entities from the reality May be built from de novo, very often they are built by reusing existing resources
  14. 14 Ontology Technology • “Ontology” covers a range of things • Controlled vocabularies – e.g. MeSH • Linguistic structures – e.g. WordNet • Hierarchies (with bells and whistles) – e.g. Gene Ontology • Frame representations – e.g. FMA • Description logic formalisms – Snomed-CT, GALEN, OWL-DL based ontologies • Philosophically inspired e.g. Ontoclean and SUMO
  15. 15 Description Logics • What the logicians made of Frames • Greater expressivity and semantic precision • Compositional definitions • “Conceptual Lego” – define new concepts from old • To allow automatic classification & consistency checking • The mathematics of classification is tricky • Some seriously counter-intuitive results • The basics are simple – devil in the detail
  16. 16 A simple ontology: Animals Living Thing Grass Animal Plant Tree Body Part Arm Leg Person Cow Carnivore Herbivore eats eats eats has part
  17. What is an Ontology? “An ontology is a formal, explicit specification of a shared conceptualization” • Machine readable • Concepts, properties relations, functions, constraints, axioms, are explicitly defined • Consensual Knowledge • Abstract model and simplified view of some phenomenon in the world that we want to represent
  18. MeDRA SNOMED WHORxNorm COCHARNE Knowledge Graph WHO-ATC drugs. Mostly a hierarchical classification built upon parent-child relations It provides normalized names for clinical drugs and links its names to many of the drug vocabularies commonly used in pharmacy software Medical Dictionary for Regulatory Activities. Clinically validated international medical terminology dictionary (and thesaurus) used by regulatory authorities in the pharmaceutical SNOMED CT (Systematized Nomenclature of Medicine -- Clinical Terms) is a standardized, multilingual vocabulary of clinical terminology that is used by physicians and other health care providers for the electronic exchange of clinical health information Interventions Interventions Conditions Conditions Population Population Comparisons Comparisons
  19. ATC Main Group(14) A- Alimentary Tract And Metabolism B-Blood And Blood Forming Organs C- Cardiovascular System D- Dermatologicals G -Genito Urinary System And Sex Hormones H -Systemic Hormonal Preparations, Excl. Sex Hormones And Insulins J- Antiinfectives For Systemic Use L- Antineoplastic And Immunomodulating Agents M- Musculo-skeletal System N- Nervous System P- AntiParasitic Products, Insecticides And Repellents R- Respiratory System S- Sensory Organs V- Various The active substances are divided into different groups according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties.
  20. SNOMED CORE • Concepts – Concept Ids – meaningless machine-processable numbers • Descriptions (Terms) – Human-processable terms • Relationships – Between concepts: source to destination Terms • Fully Specified Name (FSN) • Preferred Term (PT) • Acceptable (Terms) – synonyms
  21. SNOMED
  22. Structure of ATC Code 8-Dec-16 ANATOMICAL MAIN GROUP THERAPEUTIC MAIN GROUP THERAPEUTIC SUBGROUP PHARMACOLOGICAL SUBGROUP CHEMICAL SUBSTANCE SUBGROUP
  23. Lessons Learnt Walking through the tooling
  24. ID Title Part of speech Field Annotation CD000013 Amnioinfusionfor potentialor suspectedumbilical cordcompressionin labour “Women whose babies were considered to be at increased risk of, or had FHR patterns suggestive of, umbilical cord compression in labour.” Sex Female Age range Adolescent 13-18 years AND Young Adult 19- 24 years AND Adult 19- 44 years Condition Labor Finding AND Compression Of Umbilical Cord When the sex is NOT specified in the review methods, assume male & female. If the age range is NOT specified (for instance, CD000013), choose adolescent plus adult. About condition. The annotation of clinical conditions some times could be difficult due to two factors: i) the condition name is not directly mentioned into the document, or ii) identical terms, for a condition, are represented in several vocabularies. Below are presented two scenarios representing both issues. Annotating P
  25. What if the condition name is not directly mentioned “measuring the percentage of abnormal spermatozoids” And “shape of the spermatozoid” are referring to the condition “teratozoospermia” A.K.A “Teratospermia”; this condition may be characterized by “teratozoospermia”, snomed ID (SCTID: 236817003) or it could also be characterized by “Sperm Morphology – No normal forms”, SNOMED ID (SCTID: 167796003). Initially, the internal PICO browser and the vocab browser should be used. This will make it possible for the metadata specialist to inspect the vocabularies loaded into the tool; siblings, broader and narrower terms will be displayed. For instance, for “teratozoospermia”, siblings such as “sperm morphology – no normal forms” will be displayed.
  26. What if there are multiple identical terms displayed, or if it is impossible to know which term would be best to use “umbilical cord compression” is available in two vocabularies: SNOMED- CT and MedDra. Vocab. Hierarchy SNOMED-CT Complication Complication of pregnancy, childbirth and/or the puerperium Umbilical cord complication Compression of umbilical cord MedDra Pregnancy, puerperium and perinatal conditions Neonatal and perinatal conditions Umbilical cord complications Umbilical cord compression According to the hierarchy, both terms are suitable to be used. In this case, the metadata specialist choses the SNOMED-CT term. WHY?
  27. Annotating the Intervention Gentamicin • D06AX07 gentamicin • J01GB03 gentamicin • S01AA11 gentamicin • S02AA14 gentamicin • S03AA06 gentamicin Which one should I use? • Is is a dermatological intervention? • Is is otological? • Is it ophthalmological? • Is this about a systemic use of the antibiotic?
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