Generated Narrative: Evidence 49328

url: https://fevir.net/resources/Evidence/49328

identifier: FEvIR Object Identifier/49328

name: AllCauseMortality2022metaAnalysis

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

status: Active

date: 2022-09-19 21:27:50+0000

publisher: Computable Publishing LLC

contact: support@computablepublishing.com

author: Brian S. Alper:

UseContexts

copyright:

relatedArtifact

type: Derived From

label: data source

citation:

Bariatric surgery and cardiovascular disease: a systematic review and meta-analysis [Journal Article]. Contributors: van Veldhuisen SL, Gorter TM, van Woerden G, de Boer RA, Rienstra M, Hazebroek EJ, van Veldhuisen DJ. In: European heart journal, PMID 35243488. Published March 04, 2022. Available at: https://pubmed.ncbi.nlm.nih.gov/35243488/.

Documents

-	Url
*	https://academic.oup.com/eurheartj/article/43/20/1955/6542137

relatedArtifact

type: Supported With

classifier: Citation Resource for the original article

display: Citation Resource for 2022 Systematic Review of bariatric surgery mortality effect - PMID 35243488

resourceReference: StudyCitation: 2022 Systematic Review of bariatric surgery mortality effect 35243488

relatedArtifact

type: Cite As

citation:

ComparativeEvidence: All-cause mortality effect of bariatric surgery in 2022 meta-analysis [Evidence]. Contributors: Brian S. Alper [Authors/Creators]. In: Fast Evidence Interoperability Resources (FEvIR) Platform, FOI 49328. Revised 2022-09-19. Available at: https://fevir.net/resources/Evidence/49328. Computable resource at: https://fevir.net/resources/Evidence/49328.

description:

assertion:

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

synthesisType: summary data meta-analysis

studyDesign: Observational research, Parallel cohort design, Matching for comparison

statistic

description:

pooled hazard ratio (HR) 0.55 (95% confidence interval 0.49 to 0.62; P < 0.001 vs. controls) in meta-analysis of 21 cohort studies with 133,524 patients after bariatric surgery and 263,478 obese controls

note: heterogeneity: Tau2 = 0.06; Chi2 = 105.14; df = 23 (P < 0.00001); I2 = 78%, test for overall effect z = 9.41 (p < 0.00001)

statisticType: Hazard Ratio

quantity: 0.55

SampleSizes

-	Description	NumberOfStudies	NumberOfParticipants
*	21 cohort studies with 133,524 patients after bariatric surgery and 263,478 obese controls	21	397002

attributeEstimate

description:

95% confidence interval 0.49 to 0.62

type: Confidence interval

level: 0.95

range: 0.49-0.62

attributeEstimate

description:

z = 9.41

type: Z-score

quantity: 9.41

attributeEstimate

description:

p < 0.00001

type: P-value

quantity: <0.00001

attributeEstimate

description:

Tau squared = 0.06

type: Tau squared

quantity: 0.06

attributeEstimate

description:

Chi square for homogeneity 105.14, df 23 (p < 0.00001)

type: Chi square for homogeneity

quantity: 105.14

AttributeEstimates

-	Description	Type	Quantity
*	degrees of freedom (df) = 23	Degrees of Freedom	23
*	p < 0.00001	P-value	<0.00001

attributeEstimate

description:

I-squared = 78%

type: I-squared

quantity: 78 % (Details: UCUM code% = '%')

modelCharacteristic

code: Hazard ratios were log transformed, and the CI was converted to standard error = (upper limit − lower limit)/3.92 for 95% CI. In random effect models (DerSimonian and Laird), we analysed adjusted HR to generate pooled HRs for the association between bariatric surgery for outcome in comparison with controls. The pooled HRs were calculated using inverse-variance weighted averaging and were depicted in forest plots.

modelCharacteristic

code: Meta-analysis

modelCharacteristic

code: Random-effects