Evidence map›Paper›PMID 41570241›Full record

ArticleEpidemiology (Cambridge, Mass.)2026

Long-term Cardiovascular Outcomes Following Bariatric Surgery: Reconciling Seemingly Conflicting Evidence.

Sebastien Haneuse, Luke Benz, Valerie A Smith, David Arterburn, Matthew L Maceijewski

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Sebastien HaneuseFrom the Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0003-4963-0655
Luke BenzFrom the Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Valerie A SmithDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC.
David ArterburnKaiser Permanente Washington Health Research Institute, Seattle, WA.
Matthew L MaceijewskiDepartment of Population Health Sciences, Duke University, Durham, NC.

Funding

Robust methods for missing data in electronic health records-based studiesR01DK128150 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN · 2021 to 2024
$2.1M
NIDDK NIH HHS R01 DK128150
6 · The paper itself

Abstract

Substantial observational evidence exists in support of bariatric surgery being associated with a reduction in risk for a wide range of outcomes, including cardiovascular disease (CVD) in patients with diabetes. Two recent studies, however, argued that much of that prior work suffers from various sources of underappreciated bias as well as design decisions that compromise whether one can conceive of a corresponding target trial. Furthermore, results based on analyses of claims data from Optum and electronic health record data from the Veterans Administration are presented as providing evidence of no CVD benefit for bariatric surgery in patients with diabetes. In this paper, we use data from a prior Kaiser Permanente study to emulate a trial that mimics the methods employed in the Veterans Administration study. This new analysis finds a reduction in risk of CVD in patients with diabetes, consistent with preexisting evidence. We discuss possible mechanisms by which the discrepant results can be reconciled, including issues of statistical validity that arise from small samples, whether recent work on transportability indicates that we should not always expect results to always be concordant, and the role of conservatism associated with "clinical trial thinking." We conclude with a discussion of what standards should be used when considering the work of others in the literature and the role that evidence triangulation may be play in the future.

Indexed as

Bariatric SurgeryCardiovascular DiseasesHumansUnited StatesBariatric surgeryEvidence triangulationSelection biasTarget trial emulationTransportability

Identifiers

PMID41570241
PMCPMC13254903

What Socratic holds

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Registered trials

None linked

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 Socratic graph.