Category, dimension, and sub-dimension | Description | Examples (Sentences) |
---|---|---|
1. Inclusions category ( n = 5) | ||
1.1. Biomedical & Procedure | Evidence of defining a phenotype when biomedical and procedure entities co-occur with phenotype definition cues | “dyslipidemia was defined as total cholesterol greater than 220 mg/dl…” (PMID:20819866) |
1.2. Standard Codes | Evidence of using standard terminologies that are commonly used in a clinical setting. Examples of these standard coding classifications and/or terminologies are ICD-9/10, SNOMED CT, and CPT codes | “a primary or any secondary discharge diagnosis (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] code) of myoglobinuria (791.3)”. (PMID:15572716) |
1.3. Medications | Evidence of the use of medication for defining a phenotype | “The use of a lipid-lowering medication”. (PMID:20819866) |
1.4. Laboratories | Evidence of using quantitative values reflecting clinical measurable values (i.e. laboratory tests values, vital values, procedures, clinical) | “Dyslipidemia was defined as total cholesterol greater than 220 mg/dl”. (PMID:20819866) |
1.5. Use of Natural Language Processing (NLP) | Evidence of NLP uses accompanied with any of the following entities: biomedical, procedure, and/or medications | “The algorithm uses nonnegated terms indicative of HF: cardiomyopathy, heart failure, congestive heart failure, pulmonary edema, decompensated heart failure, volume overload, and fluid overload”. (PMID:17567225) |
2. Intermediate category ( n = 2) | ||
2.1. Data sources | Evidence of information relevant to data sources used in the study or the phenotype definition. Some examples when describing a database used, clinical data, and/o electronic health records (EHR) | “Computerized medical and pharmacy records were reviewed”. (PMID:11388131) |
2.2. Study design or IRB | Evidence of information about study design or the IRB. For example, evidence of the method used as “Gold standard” | “STUDY DESIGN: Retrospective chart review”. (PMID:11388131) |
3. Exclusion category ( n = 3) | ||
3.1. Exclusion 1– Irrelative evidence: 3.1.1. Location 3.1.2. Ethical 3.1.3. Financial 3.1.4. Patient direct contact 3.1.5. Provider or researchers (excluding patients) 3.1.6. Performance 3.1.7. Quality of Care | Evidence of information about other study methodological details that are not supportive for defining a phenotype directly | “All patients were members of the managed care system and incurred a significant financial advantage from having their prescriptions filled within the system”. (PMID:16765240) |
3.2. Exclusion 2- Computational and statistical evidence: 3.2.1. Alerts 3.2.2. Software 3.2.3. Statistics | Evidence of computational or statistical information that is not supported for phenotype definitions | “We used logistic regression models with generalized estimating equations to adjust for race, year, race x year interactions, age, and sex”. (PMID:16567608) |
3.3. Exclusion 3- Insufficient evidence. | Sentences that do not show any evidence in any of the nine dimensions | “Fallon is offered by about 3,500 employers”. (PMID:12952547) |