Evidence Based Medicine on FHIR Implementation Guide
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Evidence Based Medicine on FHIR Implementation Guide, published by HL7 International / Clinical Decision Support. This guide is not an authorized publication; it is the continuous build for version 1.0.0-ballot3 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/ebm/ and changes regularly. See the Directory of published versions

Evidence: NetEffectContribution for ComparativeEvidence: All-cause mortality effect of bariatric surgery in 2022 meta-analysis

Computable Name:

version: 14; Last updated: 2026-01-07 11:26:17+0000; Language: en

Profile: NetEffectContribution

url: https://fevir.net/resources/Evidence/179586

identifier: FEvIR Object Identifier/179586

name: NetEffectContribution_for_ComparativeEvidence_All_cause_mortality_effect_of_bariatric_surgery_in_2022_meta_analysis

title: NetEffectContribution for ComparativeEvidence: All-cause mortality effect of bariatric surgery in 2022 meta-analysis

citeAs:

NetEffectContribution for ComparativeEvidence: All-cause mortality effect of bariatric surgery in 2022 meta-analysis [Database Entry: FHIR Evidence Resource]. Contributors: Computable Publishing: Net Effect Generator, Brian S. Alper, MD, MSPH [Authors/Creators]. In: Fast Evidence Interoperability Resources (FEvIR) Platform, FOI 179586. Revised 2026-01-07. Available at: https://fevir.net/resources/Evidence/179586. Computable resource at: https://fevir.net/resources/Evidence/179586#json.

status: Active

author: Computable Publishing: Net Effect Generator: , Brian S. Alper, MD, MSPH:

publisher: Computable Publishing LLC

contact: support@computablepublishing.com

copyright:

https://creativecommons.org/licenses/by-nc-sa/4.0/

description:

This Evidence Resource is referenced in an example for the EBMonFHIR Implementation Guide.

variableDefinition

description:

obese, adult (age ≥18 years old) patients NOTE: note.text is used artificially to support the EBMonFHIR Implementation Guide and the following content would more properly be found in a note.text element: Studies were considered eligible if they were designed to study outcomes in obese patients who underwent a weight-loss surgical intervention in comparison with an age, sex, and BMI matched control group who did not undergo a weight-loss surgical intervention. We searched for randomized controlled trials, prospective or retrospective longitudinal cohort studies, and case–control studies. For the control group, all non-surgical treatment options for obesity (e.g. intensive lifestyle intervention, standard of care, or no specific therapy) were accepted. Studies were excluded if (i) patients were not matched for age, sex, and BMI; (ii) the presence of one or more outcome parameters of interest (e.g. HF, AF, coronary artery disease) was required for inclusion; or (iii) if study groups were not representative in relation to the general population of patients with obesity (e.g. patients could only be included in the presence of a specific comorbidity, for instance, end-stage renal disease). The third criterium did not apply to Type 2 diabetes, thus studies that only included patients with Type 2 diabetes could be eligible for inclusion.

variableRole: Population

intended: StudyEligibilityCriteria: Obese patients ≥ 18 years old

variableDefinition

description:

comparison groups of bariatric surgery vs. no bariatric surgery NOTE: note.text is used artificially to support the EBMonFHIR Implementation Guide and the following content would more properly be found in a note.text element: As the control group (observed reference exposure) was defined differently in each study, the intended reference exposure is described as the absence of the intended exposure (Bariatric Surgery).

variableRole: Exposure

comparatorCategory: no bariatric surgery

intended: GroupAssignment: Bariatric Surgery vs. no bariatric surgery

variableDefinition

description:

All-cause mortality NOTE: note.text is used artificially to support the EBMonFHIR Implementation Guide and the following content would more properly be found in a note.text element: The observed element can reference an EvidenceVariable Resource that defines the outcome measured through structured characteristics. For example, “Mean difference in HbA1c at 12 months” or “Mean difference in HbA1c at end of study”. The structured characteristics can be references to the Evidence instances for each of the included studies, in which case this is a direct link to the dataset used for analysis. The intended element can reference an EvidenceVariable Resource that expresses the outcome intended for evidence application through structured characteristics. The structured characteristics could be used to express the SR eligibility criteria for study outcomes (as a subset of eligibility criteria for studies).

variableRole: Outcome

observed: We searched for randomized controlled trials, prospective or retrospective longitudinal cohort studies, and case–control studies. For the control group, all non-surgical treatment options for obesity (e.g. intensive lifestyle intervention, standard of care, or no specific therapy) were accepted. Studies were excluded if (i) patients were not matched for age, sex, and BMI; (ii) the presence of one or more outcome parameters of interest (e.g. HF, AF, coronary artery disease) was required for inclusion; or (iii) if study groups were not representative in relation to the general population of patients with obesity (e.g. patients could only be included in the presence of a specific comorbidity, for instance, end-stage renal disease). The third criterium did not apply to Type 2 diabetes, thus studies that only included patients with Type 2 diabetes could be eligible for inclusion.

intended: OutcomeVariable: All-cause mortality

variableDefinition

RelativeOutcomeImportance: Outcome Importance Rating of DIO: Mortality for StudyEligibilityCriteria: Eligibility Criteria for Bariatric Surgery Randomized Trial (Diabetes Surgery Study)

variableRole: Covariate

roleSubtype: Relative Value Multiplier

observed: Relative Importance Multiplier

statistic

statisticType: risk difference

quantity: 213.75

AttributeEstimates

-TypeLevelRange
*confidence interval0.95180.5-242.25

ModelCharacteristics

-Code
*Net effect contribution analysis