Evidence map›Paper›PMID 31605180›Full record

ArticleWorld journal of surgery2020

Association of Genetic Risk of Obesity with Postoperative Complications Using Mendelian Randomization.

Jamie R Robinson, Robert J Carroll, Lisa Bastarache, Qingxia Chen, Zongyang Mou, Wei-Qi Wei, John J Connolly, Frank Mentch, Patrick Sleiman, Paul K Crane and 25 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors at 16 institutions in 1 country.

Jamie R RobinsonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA. jamie.r.robinson@vumc.org.
Robert J CarrollDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
Lisa BastaracheDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
Qingxia ChenDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Zongyang MouDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
John J ConnollyThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Frank MentchThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Patrick SleimanThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Paul K CraneDepartment of Medicine, University of Washington, Seattle, WA, USA.
Scott J HebbringCenter for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI, USA.
Ian B StanawayDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
David R CrosslinDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
Adam S GordonDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.
Elisabeth A RosenthalDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.
David CarrellKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
M Geoffrey HayesDivision of Endocrinology, Metabolism, and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Wei WeiUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Lynn PetukhovaDepartments of Dermatology and Epidemiology, Columbia University, New York, NY, USA.
Bahram NamjouCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Ge ZhangDivision of Human Genetics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Maya S SafarovaDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
Nephi A WaltonDepartment of Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA.
Christopher StillDepartment of Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA.
Erwin P BottingerThe Charles Bronfman Institute for Personalized Medicine at Mount Sinai, The Mindich Child Health and Development Institute, New York, NY, USA.
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine at Mount Sinai, The Mindich Child Health and Development Institute, New York, NY, USA.
Shawn N MurphyDepartment of Neurology, Partners Healthcare, Boston, MA, USA.
Gretchen P JacksonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
Iftikhar J KulloDepartment of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA.
Hakon HakonarsonThe Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Gail P JarvikDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA.
Eric B LarsonKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Dan M RodenDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
Joshua C DennyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, 1161 21st Ave S, CCC-4312 MCN, Nashville, TN, 37232-2730, USA.
Vanderbilt University Medical Center · USUniversity of Washington Medical Center · USChildren's Hospital of Philadelphia · USChild Health and Development Institute · USGeisinger Health System · USKaiser Permanente Washington Health Research Institute · USCincinnati Children's Hospital Medical Center · USColumbia University · USColumbia University Irving Medical Center · USMarshfield Clinic · USMass General Brigham · USMayo Clinic · USMayo Clinic in Arizona · USNorthwestern University · USUniversity of Cincinnati · USUniversity of Washington · US

Funding

JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
A Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
DNA Sequencing Support for the eMERGE NetworkU01HG008664 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2015 to 2019
$10.9M
Global Alliance for Genomic Health (GA4GH)U01HG008676 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LENNON, NIALL JOHN, REHM, HEIDI L · 2015 to 2019
$8.6M
Vanderbilt Genome-Electronic Records ProjectU01HG004603 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2007 to 2011
$7.3M
The Electronic Medical Records and Genomics (eMERGE) Network Phase III Coordinating Center (U01)U01HG008701 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PETERSON, JOSEPH F. · 2015 to 2019
$7.1M
From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004599NHGRI NIH HHS U01 HG004603NHGRI NIH HHS U01 HG004608NHGRI NIH HHS U01 HG004609NHGRI NIH HHS U01 HG004610NHGRI NIH HHS U01 HG006375NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG006380NHGRI NIH HHS U01 HG006382NHGRI NIH HHS U01 HG006385NHGRI NIH HHS U01 HG006388NHGRI NIH HHS U01 HG006389NHGRI NIH HHS U01 HG006828NHGRI NIH HHS U01 HG006830NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008664NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG008672NHGRI NIH HHS U01 HG008673NHGRI NIH HHS U01 HG008676NHGRI NIH HHS U01 HG008679NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008684NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG008701NHLBI NIH HHS R01 HL133786NIDDK NIH HHS R01 DK107786NIDDK NIH HHS R01 DK110113NIGMS NIH HHS R01 GM114128NLM NIH HHS R01 LM010685NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

backgroundThe extent to which obesity and genetics determine postoperative complications is incompletely understood.

methodsWe performed a retrospective study using two population cohorts with electronic health record (EHR) data. The first included 736,726 adults with body mass index (BMI) recorded between 1990 and 2017 at Vanderbilt University Medical Center. The second cohort consisted of 65,174 individuals from 12 institutions contributing EHR and genome-wide genotyping data to the Electronic Medical Records and Genomics (eMERGE) Network. Pairwise logistic regression analyses were used to measure the association of BMI categories with postoperative complications derived from International Classification of Disease-9 codes, including postoperative infection, incisional hernia, and intestinal obstruction. A genetic risk score was constructed from 97 obesity-risk single-nucleotide polymorphisms for a Mendelian randomization study to determine the association of genetic risk of obesity on postoperative complications. Logistic regression analyses were adjusted for sex, age, site, and race/principal components.

resultsIndividuals with overweight or obese BMI (≥25 kg/m

conclusionsClinical and Mendelian randomization studies suggest that obesity, as measured by BMI, is associated with the development of postoperative incisional hernia and infection.

Indexed as

AdultBody Mass IndexFemaleHumansLogistic ModelsMaleMendelian Randomization AnalysisMiddle AgedObesityPolymorphism, Single NucleotidePostoperative ComplicationsRetrospective StudiesRisk Factors

Identifiers

PMID31605180
PMCPMC6925615
OpenAlexW2980131242

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.