Evidence map›Paper›PMID 29675984›Full record

ArticleJournal of cachexia, sarcopenia and muscle2018

Associations of pre-existing co-morbidities with skeletal muscle mass and radiodensity in patients with non-metastatic colorectal cancer.

Jingjie Xiao, Bette J Caan, Erin Weltzien, Elizabeth M Cespedes Feliciano, Candyce H Kroenke, Jeffrey A Meyerhardt, Vickie E Baracos, Marilyn L Kwan, Adrienne L Castillo, Carla M Prado

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

Article in Journal of cachexia, sarcopenia and muscle, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 pooled it
5.7field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 5 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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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

10 authors at 3 institutions in 2 countries.

Jingjie XiaoHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Bette J CaanDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Erin WeltzienDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Elizabeth M Cespedes FelicianoDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Candyce H KroenkeDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Vickie E BaracosDivision of Palliative Care Medicine, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.
Marilyn L KwanDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Adrienne L CastilloDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Carla M PradoHuman Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Kaiser Permanente · USUniversity of Alberta · CADana-Farber Cancer Institute · US

Funding

Dietary And Lifestyle Determinants Of Colon Cancer Recurrence and SurvivalR01CA118553 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2007 to 2019
$4.4M
Body Composition, Weight, and Colon Cancer SurvivalR01CA175011 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CAAN, BETTE J · 2013 to 2017
$3.1M
NCI NIH HHS R01 CA118553NCI NIH HHS R01 CA175011
6 · The paper itself

Abstract

BACKGROUND AND

aimCo-morbidities and computerized tomography-measured muscle abnormalities are both common in cancer patients and independently adversely influence clinical outcomes. Muscle abnormalities are also evident in other diseases, such as diabetes and obesity. This study examined for the first time the association between co-morbidities and muscle abnormalities in patients diagnosed with colorectal cancer (CRC).

methodsThis cross-sectional study included 3051 non-metastatic patients with Stages I-III CRC. Muscle abnormalities, measured at diagnosis, were defined as low skeletal muscle mass index (SMI) or low skeletal muscle radiodensity (SMD) quantified using computerized tomography images using optimal stratification. Co-morbidities included in the Charlson index were ascertained. χ

resultsMean age was 63 years; 50% of patients were male. The prevalence of low SMI and low SMD were 43.1% and 30.2%, respectively. Co-morbidities examined were more prevalent in patients with low SMD than in those with normal SMD, and most remained independent predictors of low SMD after adjustment for covariates. Co-morbidities associated with higher odds of low SMD included myocardial infarction [odds ratio (OR) = 1.77, P = 0.023], congestive heart failure (OR = 3.27, P < 0.001), peripheral vascular disease (OR = 2.15, P = 0.002), diabetes with or without complications (OR = 1.61, P = 0.008; OR = 1.46, P = 0.003, respectively), and renal disease (OR = 2.21, P < 0.001). By contrast, only diabetes with complications was associated with lower odds of low SMI (OR = 0.64, P = 0.007).

conclusionsPrevalence of muscle abnormalities was high in patients with non-metastatic CRC. Pre-existing co-morbidities were associated with low SMD, suggestive of a potential shared mechanism between fat infiltration into muscle and each of these co-morbidities.

Indexed as

Radiation ToleranceAgedCaliforniaColorectal NeoplasmsComorbidityFemaleHumansMaleMiddle AgedMuscle, SkeletalMuscular Disorders, AtrophicNeoplasm StagingOdds RatioPrognosisPublic Health SurveillanceTomography, X-Ray ComputedCharlson co-morbiditiesCT imagingMuscle abnormalitiesNon-metastatic colorectal cancer

Identifiers

PMID29675984
PMCPMC6104112
OpenAlexW2802195268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.