Evidence map›Paper›PMID 33196656›Full record

Trial reportPLoS medicine2020

Body mass index and risk of dying from a bloodstream infection: A Mendelian randomization study.

Tormod Rogne, Erik Solligård, Stephen Burgess, Ben M Brumpton, Julie Paulsen, Hallie C Prescott, Randi M Mohus, Lise T Gustad, Arne Mehl, Bjørn O Åsvold and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Cohort Profile Update: The HUNT Study, Norway.International journal of epidemiology · 2023
    Article
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  14. Determinants and outcomes of bloodstream infections related to obesity.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
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  16. 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

12 authors at 5 institutions in 3 countries.

Tormod RogneGemini Center for Sepsis Research, Department of Circulation and Medical Imaging, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-9581-7384
Erik SolligårdGemini Center for Sepsis Research, Department of Circulation and Medical Imaging, NTNU Norwegian University of Science and Technology, Trondheim, Norway.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-5365-8760
Ben M BrumptonK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-3058-1059
Julie PaulsenDepartment of Medical Genetics, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.ORCID 0000-0003-1335-6252
Hallie C PrescottDepartment of Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-8442-6724
Randi M MohusGemini Center for Sepsis Research, Department of Circulation and Medical Imaging, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-7625-2664
Lise T GustadGemini Center for Sepsis Research, Department of Circulation and Medical Imaging, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-2709-3991
Arne MehlDepartment of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway.
Bjørn O ÅsvoldK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-3837-2101
Andrew T DeWanGemini Center for Sepsis Research, Department of Circulation and Medical Imaging, NTNU Norwegian University of Science and Technology, Trondheim, Norway.
Jan K DamåsGemini Center for Sepsis Research, Department of Circulation and Medical Imaging, NTNU Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-4268-671X
Norwegian University of Science and Technology · NOLevanger Hospital · NOSt Olav's University Hospital · NOUniversity of Cambridge · GBUniversity of Michigan · US

Funding

General pathways and personalized risk of morbidity after sepsisK08GM115859 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PRESCOTT, HALLIE CHRISTINE · 2015 to 2018
$776k
Medical Research Council MC_UU_00002/7Medical Research Council MC_UU_12013/1NIGMS NIH HHS K08 GM115859Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

backgroundIn observational studies of the general population, higher body mass index (BMI) has been associated with increased incidence of and mortality from bloodstream infection (BSI) and sepsis. On the other hand, higher BMI has been observed to be apparently protective among patients with infection and sepsis. We aimed to evaluate the causal association of BMI with risk of and mortality from BSI. METHODS AND

findingsWe used a population-based cohort in Norway followed from 1995 to 2017 (the Trøndelag Health Study [HUNT]), and carried out linear and nonlinear Mendelian randomization analyses. Among 55,908 participants, the mean age at enrollment was 48.3 years, 26,324 (47.1%) were men, and mean BMI was 26.3 kg/m2. During a median 21 years of follow-up, 2,547 (4.6%) participants experienced a BSI, and 451 (0.8%) died from BSI. Compared with a genetically predicted BMI of 25 kg/m2, a genetically predicted BMI of 30 kg/m2 was associated with a hazard ratio for BSI incidence of 1.78 (95% CI: 1.40 to 2.27; p < 0.001) and for BSI mortality of 2.56 (95% CI: 1.31 to 4.99; p = 0.006) in the general population, and a hazard ratio for BSI mortality of 2.34 (95% CI: 1.11 to 4.94; p = 0.025) in an inverse-probability-weighted analysis of patients with BSI. Limitations of this study include a risk of pleiotropic effects that may affect causal inference, and that only participants of European ancestry were considered.

conclusionsSupportive of a causal relationship, genetically predicted BMI was positively associated with BSI incidence and mortality in this cohort. Our findings contradict the "obesity paradox," where previous traditional epidemiological studies have found increased BMI to be apparently protective in terms of mortality for patients with BSI or sepsis.

Indexed as

Body Mass IndexAdultCohort StudiesFemaleHumansMaleMendelian Randomization AnalysisMiddle AgedNorwayObesityProportional Hazards ModelsRisk FactorsSepsis

Identifiers

PMID33196656
PMCPMC7668585
OpenAlexW3105668232

What OpenQuestion holds

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Registered trials

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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.