Health-related quality of life in patients with advanced colorectal cancer: a predictive nomogram including BMI, sex and age

Formica, Vincenzo; Nardecchia, Antonella; Morelli, Cristina; Lucchetti, Jessica; Giuliano, G; Renzi, Nicola; Gallo, Chiara; Pellegrino, R.; Massimiliani, V.; Serci, Cristiano; Russo, Anna; Patrikidou, Anna; Arkenau, Hendrik‐Tobias; Maiorino, Luigi; Tesauro, Manfredi; Roselli, Mario

doi:10.21037/apm-20-2194

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…Furthermore, Formica et al. reported that BMI was strongly associated with the quality of life of colorectal cancer patients, where BMI < 23 kg/m 2 was associated with a poor score of health-related quality of life (HRQoL) [ 29 ].…”

Section: Discussionmentioning

confidence: 99%

Colorectal cancer patients’ outcome in correlation with dietary and nutritional status: a systematic review

Minhajat,

Harjianti,

Rasyid

et al. 2023

Annals of Medicine

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Colorectal cancer (CRC) is one of the most common cancers worldwide and it involves various biomolecular and cellular levels. CRC has possibly happened due to aging, urbanization, and diet. Different foods have varying effects on the gastrointestinal cells, that’s why additional research is necessary to create effective medical interventions. This review aimed to evaluate the correlation between dietary and nutritional status on the outcome of CRC patients. Study results showed that a healthy diet such as fruit and vegetables is the best diet for improving colorectal cancer outcomes. Moreover, nutritional status affected CRC patients’ outcomes, where high BMI increases the risk of having CRC. However, low BMI was associated with CRC progression and poor quality of life.

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Section: Discussionmentioning

confidence: 99%

Colorectal cancer patients’ outcome in correlation with dietary and nutritional status: a systematic review

Minhajat,

Harjianti,

Rasyid

et al. 2023

Annals of Medicine

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“…It might be challenging to employ the prediction models in clinical practice since it was not easy for doctors to collect so many variables. Formica et al [37] proposed a nomogram to predict health-related quality of life among colorectal cancer patients, and the nomogram included only age, sex, and body mass index, but the C-statistics of the nomogram was only 0.67, indicating that its predictive power was not very strong. The C-statistics for the prediction nomogram put forth in this study could reach 0.90 in the training set and 0.85 in the validation set.…”

Section: Discussionmentioning

confidence: 99%

A novel nomogram to stratify quality of life among advanced cancer patients with spinal metastatic disease after examining demographics, dietary habits, therapeutic interventions, and mental health status

Long

Wang

et al. 2022

BMC Cancer

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Background It would be very helpful to stratify patients and direct patient selection if risk factors for quality of life were identified in a particular population. Nonetheless, it is still challenging to forecast the health-related quality of life among individuals with spinal metastases. The goal of this study was to stratify patient’s populations for whom the assessment of quality of life should be encouraged by developing and validating a nomogram to predict the quality of life among advanced cancer patients with spine metastases. Methods This study prospectively analyzed 208 advanced cancer patients with spine metastases, and collected their general characteristics, food preferences, addictions, comorbidities, therapeutic strategies, and mental health status. The functional assessment of cancer therapy-general (FACT-G) and hospital anxiety and depression scale (HADS) were used to assess quality of life and mental health, respectively. The complete cohort of patients was randomly divided into two groups: a training set and a validation set. Patients from the training set were conducted to train and develop a nomogram, while patients in the validation set were performed to internally validate the nomogram. The nomogram contained significant variables discovered using the least absolute shrinkage and selection operator (LASSO) approach in conjunction with 10-fold cross-validation. The nomogram’s predictive ability was assessed utilizing discrimination, calibration, and clinical usefulness. Internal validation was also completed using the bootstrap method after applying 500 iterations of procedures. A web calculator was also developed to promote clinical practice. Results Advance cancer patients with spinal metastases had an extremely low quality of life, as indicated by the average FACT-G score of just 60.32 ± 20.41. According to the LASSO and 10-fold cross-validation, Eastern Cooperative Oncology Group (ECOG) score, having an uncompleted life goal, preference for eating vegetables, chemotherapy, anxiety status, and depression status were selected as nomogram predictors. In the training set, the area under the receiver operating characteristic curve (AUROC) was 0.90 (95% CI: 0.84–0.96), while in the validation set, it was 0.85 (95% CI: 0.78–0.93). They were 0.50 (95% CI: 0.41–0.58) and 0.44 (95% CI: 0.33–0.56), respectively, for the discrimination slopes. The nomogram had favorable capacity to calibrate and was clinically useful, according to the calibration curve and decision curve analysis. When compared to patients in the low-risk group, patients in the high-risk group were above four times more likely to experience a poor quality of life (82.18% vs. 21.50%, P < 0.001). In comparison to patients in the low-risk group, patients in the high-risk group also exhibited significant higher levels of anxiety and depression. The webpage for the web calculator was https://starshiny.shinyapps.io/DynNomapp-lys/. Conclusions This study suggests a nomogram that can be applied as a practical clinical tool to forecast and categorize the quality of life among patients with spine metastases. Additionally, patients with poor quality of life experience more severe anxiety and depression. Effective interventions should be carried out as soon as possible, especially for patients in the high-risk group, to improve their quality of life and mental health condition.

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“…The concept of precision medicine has increased the advantages of nomograms and created greater space for their application. Nomograms for predicting anastomotic fistula, liver metastasis, and survival after rectal cancer surgery have been reported ( 16 – 20 ). However, there are few studies assessing nomograms for preoperative prediction of EMVI in rectal cancer.…”

Section: Introductionmentioning

confidence: 99%

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging

Tian

Li²,

Xie³

et al. 2023

Front. Oncol.

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PurposeThis study verified the value of magnetic resonance imaging (MRI) to construct a nomogram to preoperatively predict extramural vascular invasion (EMVI) in rectal cancer using MRI characteristics.Materials and methodsThere were 55 rectal cancer patients with EMVI and 49 without EMVI in the internal training group. The external validation group consisted of 54 rectal cancer patients with EMVI and 55 without EMVI. High-resolution rectal T2WI, pelvic diffusion-weighted imaging (DWI) sequences, and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) were used. We collected the following data: distance between the lower tumor margin and the anal margin, distance between the lower tumor margin and the anorectal ring, tumor proportion of intestinal wall, mrT stage, maximum tumor diameter, circumferential resection margin, superior rectal vein width, apparent diffusion coefficient (ADC), T2WI EMVI score, DWI and DCE-MRI EMVI scores, demographic information, and preoperative serum tumor marker data. Logistic regression analyses were used to identify independent risk factors of EMVI. A nomogram prediction model was constructed. Receiver operating characteristic curve analysis verified the predictive ability of the nomogram. P < 0.05 was considered significant.ResultTumor proportion of intestinal wall, superior rectal vein width, T2WI EMVI score, and carbohydrate antigen 19-9 were significant independent predictors of EMVI in rectal cancer and were used to create the model. The areas under the receiver operating characteristic curve, sensitivities, and specificities of the nomogram were 0.746, 65.45%, and 83.67% for the internal training group, respectively, and 0.780, 77.1%, and 71.3% for the external validation group, respectively.Data conclusionA nomogram including MRI characteristics can predict EMVI in rectal cancer preoperatively and provides a valuable reference to formulate individualized treatment plans and predict prognosis.

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Health-related quality of life in patients with advanced colorectal cancer: a predictive nomogram including BMI, sex and age

Cited by 4 publications

References 40 publications

Colorectal cancer patients’ outcome in correlation with dietary and nutritional status: a systematic review

Colorectal cancer patients’ outcome in correlation with dietary and nutritional status: a systematic review

A novel nomogram to stratify quality of life among advanced cancer patients with spinal metastatic disease after examining demographics, dietary habits, therapeutic interventions, and mental health status

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging

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