Evidence map›Paper›PMID 39014284›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Age-adjusted Charlson comorbidity index and its association with body composition and overall survival in patients with colorectal cancer.

Mara Rúbia de Oliveira Bezerra, Iasmin Matias de Sousa, Ana Lúcia Miranda, Glaucia Mardrini Cassiano Ferreira, Gabriela Villaça Chaves, Sara Maria Moreira Lima Verde, Silvia Fernandes Maurício, Jarson Pedro da Costa Pereira, M Cristina Gonzalez, Carla M Prado and 1 more

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

11 authors.

Mara Rúbia de Oliveira BezerraHealth Sciences Center, Postgraduate Program in Nutrition, Federal University of Rio Grande Do Norte, Natal, Rio Grande Do Norte, Brazil.
Iasmin Matias de SousaHealth Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil.
Ana Lúcia MirandaHealth Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil.
Glaucia Mardrini Cassiano FerreiraHealth Sciences Center, Postgraduate Program in Health Sciences, Federal University of Rio Grande Do Norte, Avenida Senador Salgado Filho, no 3000, Natal, Rio Grande Do Norte, 59078-970, Brazil.
Gabriela Villaça ChavesDepartment of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, Brazil.
Sara Maria Moreira Lima VerdePostgraduate Program in Nutrition and Health, Ceara State University, Fortaleza Ceara, Brazil.
Silvia Fernandes MaurícioDepartment of Clinical and Social Nutrition, School of Nutrition, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil.
Jarson Pedro da Costa PereiraPostgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
M Cristina GonzalezPostgraduate Program in Nutrition and Food, Federal University of Pelotas, Pelotas, Rio Grande Do Sul, Brazil.
Carla M PradoDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Ana Paula Trussardi FayhHealth Sciences Center, Postgraduate Program in Nutrition, Federal University of Rio Grande Do Norte, Natal, Rio Grande Do Norte, Brazil. ana.fayh@ufrn.br.

Funding

Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) Finance Code 001Partial financial support was received from the Federal University of Rio Grande do Norte Grant 001/2020 PROPESQ
6 · The paper itself

Abstract

objectiveTo examine the relationship between the age-adjusted Charlson comorbidity index (A-CCI) with body composition and overall survival in patients newly diagnosed with colorectal cancer (CRC). RESEARCH METHODS AND PROCEDURES: In this cohort study, patients (≥ 18 years old) with CRC were followed for 36 months. Computed tomography images of the third lumbar were analyzed to determine body composition, including skeletal muscle area (SMA), skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Phenotypes based on comorbidity burden assessed by A-CCI and body composition parameters were established.

resultsA total of 436 participants were included, 50% male, with a mean age of 61 ± 13.2 years. Approximately half of the patients (50.4%) had no comorbidity, and the A-CCI median score was 4 (interquartile range: 3-6). A higher A-CCI score was a risk factor for 36-month mortality (HR = 3.59, 95% CI = 2.17-5.95). Low SMA and low SMD were associated with a higher A-CCI. All abnormal phenotypes (high A-CCI and low SMA; high A-CCI and low SMD; high A-CCI and high VAT) were independently associated with higher 36-month mortality hazard (

conclusionThe coexistence of comorbidity burden and abnormal body composition phenotypes, such as alterations in muscle or fat compartments, may pose an additional risk of mortality in patients newly diagnosed with CRC. Early assessment and management of these phenotypes could be crucial in optimizing outcomes in such patients.

Indexed as

Body CompositionColorectal NeoplasmsComorbidityAgedAge FactorsCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsTomography, X-Ray ComputedAbdominal fatBody compositionMyosteatosisNeoplasiaSkeletal muscle mass

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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.