Evidence mapPaperPMID 39014528Full record

ReviewDiabetes, obesity & metabolism2024

Bariatric surgery and all-cause mortality: A methodological review of studies using a non-surgical comparator.

Karine Suissa, Sebastian Schneeweiss, Robert J Glynn, Deborah J Wexler, Samy Suissa, Julie M Paik, Elisabetta Patorno

Abstract readReview
In one paragraph

Review in Diabetes, obesity & metabolism, 2024. 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

7 authors.

Karine SuissaDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-3922-3853
Sebastian SchneeweissDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Robert J GlynnDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Deborah J WexlerDiabetes Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Samy SuissaCentre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, Montreal, Quebec, Canada.ORCID 0000-0002-1281-5296
Julie M PaikDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Elisabetta PatornoDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-8809-9898

Funding

Novel approaches to improve comparative effectiveness research of medical and surgical weight reduction strategies in clinical practiceR01DK138036 · BRIGHAM AND WOMEN'S HOSPITAL · 2025 to 2025
$773k
Amarin CorporationAstraZenecaAtaraBoehringer IngelheimBristol-Myers-SquibbDivision of Pharmacoepidemiology and PharmacoeconomicsKowa Pharmaceuticals AmericaMerckNIDDK NIH HHS R01 DK138036NovartisPanalgoPfizerSeqirus
6 · The paper itself

Abstract

aimNon-randomized studies on bariatric surgery have reported large reductions in mortality within 6-12 months after surgery compared with non-surgical patients. It is unclear whether these findings are the result of bias. STUDY DESIGN AND

settingWe searched PubMed to identify all non-randomized studies investigating the effect of bariatric surgery on all-cause mortality compared with non-surgical patients. We assessed these studies for potential confounding and time-related biases. We conducted bias analyses to quantify the effect of these biases.

resultsWe identified 21 cohort studies that met our inclusion criteria. Among those, 11 were affected by immortal time bias resulting from the misclassification or exclusion of relevant follow-up time. Five studies were subject to potential confounding bias because of a lack of adjustment for body mass index (BMI). All studies used an inadequate comparator group that lacked indications for bariatric surgery. Bias analyses to correct for potential confounding from BMI shifted the effect estimates towards the null [reported hazard ratio (HR): 0.78 vs. bias-adjusted HR: 0.92]. Bias analyses to correct for the presence of immortal time also shifted the effect estimates towards the null (adjustment for 2-year wait time: reported HR: 0.57 vs. bias-adjusted HR: 0.81).

conclusionSeveral important sources of bias were identified in non-randomized studies of the effectiveness of bariatric surgery versus non-surgical comparators on mortality. Future studies should ensure that confounding by BMI is accounted for, considering the choice of the comparator group, and that the design or analysis avoids immortal time bias from the misclassification or exclusion.

Indexed as

Bariatric SurgeryBiasBody Mass IndexCause of DeathConfounding Factors, EpidemiologicFemaleHumansMaleMortalityObesityObesity, Morbidbariatric surgerybiasconfoundingimmortal timenon‐surgical comparatorobservational study

Identifiers

PMID39014528
PMCPMC11800116

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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 Socratic graph.