Evidence map›Paper›PMID 29658059›Full record

ArticleInternational journal of colorectal disease2018

Visceral fat area, not body mass index, predicts postoperative 30-day morbidity in patients undergoing colon resection for cancer.

Benjamin A Kuritzkes, Emmanouil P Pappou, Ravi P Kiran, Onur Baser, Liqiong Fan, Xiaotao Guo, Binsheng Zhao, Stuart Bentley-Hibbert

Abstract read
In one paragraph

Article in International journal of colorectal disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  17. The association between preoperative body composition and aerobic fitness in patients scheduled for colorectal surgery.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2022
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  19. Visceral-to-Subcutaneous Fat Ratio Is a Potential Predictor of Postoperative Complications in Colorectal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2021
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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

8 authors at 2 institutions in 1 country.

Benjamin A KuritzkesDivision of Colorectal Surgery, New York Presbyterian/Columbia University Medical Center, Herbert Irving Pavilion, 8th Fl., 161 Fort Washington Avenue, New York, NY, 10032, USA. bak2146@cumc.columbia.edu.ORCID http://orcid.org/0000-0002-8601-6809
Emmanouil P PappouDivision of Colorectal Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ravi P KiranDivision of Colorectal Surgery, New York Presbyterian/Columbia University Medical Center, Herbert Irving Pavilion, 8th Fl., 161 Fort Washington Avenue, New York, NY, 10032, USA.
Onur BaserCenter for Innovation and Outcomes Research, New York Presbyterian/Columbia University Medical Center, New York, NY, USA.
Liqiong FanCenter for Innovation and Outcomes Research, New York Presbyterian/Columbia University Medical Center, New York, NY, USA.
Xiaotao GuoComputational Image Analysis Laboratory, Department of Radiology, New York Presbyterian/Columbia University Medical Center, New York, NY, USA.
Binsheng ZhaoComputational Image Analysis Laboratory, Department of Radiology, New York Presbyterian/Columbia University Medical Center, New York, NY, USA.
Stuart Bentley-HibbertDivision of Abdominal Radiology, New York Presbyterian/Columbia University Medical Center, New York, NY, USA.
Columbia University Irving Medical Center · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeColectomy for cancer in obese patients is technically challenging and may be associated with worse outcomes. Whether visceral obesity, as measured on computed tomography, is a better predictor of complication than body mass index (BMI) or determines long-term oncologic outcomes has not been well characterized. This study examines the association between derived anthropometrics and postoperative complication and long-term oncologic outcomes.

methodsRetrospective review of patients undergoing elective colectomy for cancer at a single tertiary-care center from 2010 to 2016. Adipose tissue distribution measurements, including visceral fat area (VFA), were determined from preoperative imaging. The primary outcome was 30-day postoperative complication; secondary outcomes included overall and disease-free survival. Multivariable logistic regression was performed to determine association between obesity metrics and outcome.

resultsTwo hundred and sixty-four patients underwent 266 primary resections of colon cancer. Twenty-eight patients (10.5%) developed major morbidity (Clavien-Dindo grade ≥ III). VFA but not BMI was significantly associated with morbidity in multivariate analysis (p = 0.004, odds ratio 1.99, 95% confidence interval 1.25-3.19). No other imaging-derived anthropometric was associated with increased morbidity. In receiver operating characteristic analysis, VFA was predictive of major morbidity (area under curve 0.660). A cutoff value of VFA ≥ 191 cm

conclusionVFA but not BMI predicts morbidity following elective surgery for colon cancer.

Indexed as

Body Mass IndexIntra-Abdominal FatAgedColectomyColonic NeoplasmsFemaleHumansMaleMiddle AgedMorbidityObesityPrognosisRetrospective StudiesRisk FactorsTomography, X-Ray ComputedAbdominal obesityClinical outcomesColon cancerVisceral fat areaVisceral obesity

Identifiers

PMID29658059
PMCPMC6198796
OpenAlexW2803053838

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.