Evidence map›Paper›PMID 30066490›Full record

ArticleJournal of cachexia, sarcopenia and muscle2018

Screening for low muscularity in colorectal cancer patients: a valid, clinic-friendly approach that predicts mortality.

Elizabeth M Cespedes Feliciano, Egor Avrutin, Bette J Caan, Adam Boroian, Marina Mourtzakis

Abstract read
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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 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Associations of muscle and adipose tissue parameters with long-term outcomes in middle and low rectal cancer: a retrospective cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
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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

5 authors.

Elizabeth M Cespedes FelicianoDivision of Research, Kaiser Permanente Northern California, 200 Broadway, 5th Floor, Oakland, CA, USA.ORCID 0000-0003-1192-4017
Egor AvrutinDepartment of Kinesiology, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.
Bette J CaanDivision of Research, Kaiser Permanente Northern California, 200 Broadway, 5th Floor, Oakland, CA, USA.
Adam BoroianDivision of Research, Kaiser Permanente Northern California, 200 Broadway, 5th Floor, Oakland, CA, USA.
Marina MourtzakisDepartment of Kinesiology, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada.

Funding

Body Composition, Weight, and Colon Cancer SurvivalR01CA175011 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CAAN, BETTE J · 2013 to 2017
$3.1M
Beyond Body Mass Index: Bringing Body Composition into Oncology PracticeK01CA226155 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI FELICIANO, ELIZABETH MARJORIE CESPEDES · 2018 to 2022
$894k
NCI NIH HHS K01 CA226155NCI NIH HHS R01 CA175011
6 · The paper itself

Abstract

backgroundLow skeletal muscle quantified using computed tomography (CT) scans is associated with morbidity and mortality among cancer patients. However, existing methods to assess skeletal muscle from CT are time-consuming, expensive, and require training. Clinic-friendly tools to screen for low skeletal muscle in cancer patients are urgently needed.

methodsWe included 807 scans from non-metastatic colorectal cancer patients. With the digital ruler available in most radiological software, we implemented an abbreviated method to assess skeletal muscle area at the third lumbar vertebra (L3), which consisted of assessing the height and width of the psoas and paraspinal muscles and computing their combined 'linear area' in centimetres squared (cm

resultsThe linear area was highly correlated with total cross-sectional area assessed using standard methods [r = 0.92; 95% confidence interval (CI): 0.91, 0.93] overall and within subgroups defined by age, sex, and body mass index group. Intra-rater and inter-rater reliability were equally high (both intra-class correlations = 0.98). Cut-points for low linear area were sensitive (0.75; 95% CI: 0.70, 0.80) and specific (0.77; 95% CI: 0.73, 0.80) for identifying low skeletal muscle relative to the standard of total L3 cross-sectional area. The hazard ratio and 95% CI for death associated with a low linear area were hazard ratio = 1.66; 95% CI: 1.22, 2.25.

conclusionsClinic-friendly methods that assess linear area from CT scans are an accurate screening tool to identify low skeletal muscle among non-metastatic colorectal cancer patients. These linear measures are associated with mortality after colorectal cancer, suggesting they could be clinically useful both to improve prognostication and to provide a practical screening tool to identify cancer patients who require nutrition or exercise intervention.

Indexed as

AgedBody CompositionBody Mass IndexCaliforniaColorectal NeoplasmsFemaleHumansKaplan-Meier EstimateMaleMass ScreeningMiddle AgedMortalityMuscle, SkeletalNeoplasm GradingNeoplasm StagingOrgan SizeCancerMuscle massSarcopeniaScreening

Identifiers

PMID30066490
PMCPMC6204585

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LicenceCC BY-NC-ND
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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.