Evidence map›Paper›PMID 39024034›Full record

ArticleEpidemiology (Cambridge, Mass.)2024

Estimating the Effect of Bariatric Surgery on Cardiovascular Events Using Observational Data?

Arin L Madenci, Katherine E Kurgansky, Barbra A Dickerman, Hanna Gerlovin, Kerollos Nashat Wanis, Ann D Smith, Ludovic Trinquart, David R Gagnon, Kelly Cho, J Michael Gaziano and 3 more

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Arin L MadenciFrom the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0003-1258-7278
Katherine E KurganskyVeterans Affairs Boston Healthcare System, Boston, MA.
Barbra A DickermanFrom the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Hanna GerlovinVeterans Affairs Boston Healthcare System, Boston, MA.
Kerollos Nashat WanisFrom the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Ann D SmithVeterans Affairs Boston Healthcare System, Boston, MA.
Ludovic TrinquartInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.
David R GagnonVeterans Affairs Boston Healthcare System, Boston, MA.
Kelly ChoVeterans Affairs Boston Healthcare System, Boston, MA.
J Michael GazianoVeterans Affairs Boston Healthcare System, Boston, MA.
Juan P CasasVeterans Affairs Boston Healthcare System, Boston, MA.
James M RobinsFrom the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Miguel A HernánFrom the CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.

Funding

EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
A Contextual Approach to Understanding Operative Volume and MortalityF32AG064831 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI MADENCI, ARIN L. · 2019 to 2019
$57k
NIA NIH HHS F32 AG064831NIA NIH HHS T32 AG000247ORD VA RES 13-457
6 · The paper itself

Abstract

backgroundObservational studies have reported strongly protective effects of bariatric surgery on cardiovascular disease, but with oversimplified definitions of the intervention, eligibility criteria, and follow-up, which deviate from those in a randomized trial. We describe an attempt to estimate the effect of bariatric surgery on cardiovascular disease without introducing these sources of bias, which may not be entirely possible with existing observational data.

methodsWe propose two target trials among persons with diabetes: (1) bariatric operation (vs. no operation) among individuals who have undergone preoperative preparation (lifestyle modifications and screening) and (2) preoperative preparation and a bariatric operation (vs. neither preoperative nor operative component). We emulated both target trials using observational data of US veterans.

resultsComparing bariatric surgery with no surgery (target trial #1; 8,087 individuals), the 7-year cardiovascular risk was 18.0% (95% CI = 6.9, 32.7) in the surgery group and 18.9% (95% CI = 17.7, 20.1) in the no-surgery group (risk difference -0.9, 95% CI = -12.0, 14.0). Comparing preoperative components plus surgery vs. neither (target trial #2; 10,065 individuals), the 7-year cardiovascular risk was 17.4% (95% CI = 13.6, 22.0) in the surgery group and 18.8% (95% CI = 17.8, 19.9) in the no-surgery group (risk difference -1.4, 95% CI = -5.1, 3.2). Body mass index and hemoglobin A1c were reduced with bariatric interventions in both emulations.

conclusionsWithin limitations of available observational data, our estimates do not provide evidence that bariatric surgery reduces cardiovascular disease and support equipoise for a randomized trial of bariatric surgery for cardiovascular disease prevention.

Indexed as

Bariatric SurgeryCardiovascular DiseasesAdultDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedObservational Studies as TopicUnited StatesVeterans

Identifiers

PMID39024034
PMCPMC13256137

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.