Good performance of the Global Leadership Initiative on Malnutrition criteria for diagnosing and classifying malnutrition in people with esophageal cancer undergoing esophagectomy

Wang, Peiyu; Chen, Xiankai; Liu, Qi; Liu, Xianben; Li, Yin

doi:10.1016/j.nut.2021.111420

Cited by 25 publications

(37 citation statements)

References 41 publications

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“…Additionally, previous studies have reported that the combination of PNI and GLIM criteria has significant advantages in predicting the incidence and survival rate of perioperative malnutrition. 30 Our results show that the prognostic indicators we studied have high specificity but unsatisfactory sensitivity. More well-designed studies are needed to develop joint indicators to improve the sensitivity and specificity of prediction.…”

Section: Discussionmentioning

confidence: 70%

“…), factors significantly contributing to a short OS were a high level of NLR (HR: 1.43, 95% CI: 1 30. to 1.58, p<0.001; I 2 =61.7%, p het <0.001), PLR (HR: 1.26, 95% CI: 1.18 to 1.35, p<0.001; I 2 =29.8%, p het =0.108), CAR (HR: 1.84, 95% CI: 1.60 to 2.10, p<0.001; I 2 =41.8%, p het =0.079), SII (HR: 1.46, 95% CI: 1.30 to 1.65, p<0.001; I 2 =41.0%, p het =0.118), GPS (HR: 2.35, 95% CI: 1.99 to 2.76, p<0.001; I 2 =36.5%, p het =0.078) or mGPS (HR: 1.69, 95% CI: 1.49 to 1.92, p<0.001; I 2 =48.4%, p het =0.022), and low level of LMR (HR: 1.37, 95% CI: 1.14 to 1.65, p=0.001; I 2 =84.9%, p het <0.001) and PNI (HR: 1.51, 95% CI: 1.36 to 1.68, p<0.001; I 2 =45.8%, p het =0.048).…”

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confidence: 96%

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Inflammation and nutrition-based biomarkers in the prognosis of oesophageal cancer: a systematic review and meta-analysis

Jiang

Song

et al. 2021

BMJ Open

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BackgroundAccumulating literature has shown the predictive values of inflammation and nutrition-based biomarkers in the prognosis of oesophageal cancer but with inconsistent findings.MethodWe performed a meta-analysis to systematically evaluate the predictive value of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), C reactive protein-to-albumin ratio (CAR), systemic inflammation index (SII), prognostic nutritional index (PNI), Glasgow Prognostic Score (GPS) and modified Glasgow Prognostic Score (mGPS) in oesophageal cancer. The outcome indicators include the overall survival (OS), disease-free survival (DFS) and cancer-specific survival (CSS). We applied pooled HR, sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve together with 95% CI to estimate the predictive accuracy.ResultsA total of 72 studies, including 22 260 patients, were included in the meta-analysis. Elevated NLR, PLR CAR, SII, GPS, mGPS and decreased LMR and PNI were associated with poor OS of oesophageal cancer. A high level of NLR, PLR and GPS was related to poor DFS. A high level of NLR and GPS was related to poor CSS. The summarised AUC of CAR (0.72, 95% CI: 0.68 to 0.75) and mGPS (0.75, 95% CI: 0.71 to 0.78) surpassed any other indicators.ConclusionsClinical indicators such as NLR, PLR, LMR, PNI, SII, CAR, GPS and mGPS have the moderate predictive ability in OS, DFS and CSS of oesophageal cancer. The pretreatment level of CAR and mGPS showed an outstanding prediction value in 5-year OS for oesophageal cancer.

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Section: Discussionmentioning

confidence: 70%

mentioning

confidence: 96%

Inflammation and nutrition-based biomarkers in the prognosis of oesophageal cancer: a systematic review and meta-analysis

Jiang

Song

et al. 2021

BMJ Open

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“…7 Patients with poor nutritional conditions tend to have a poor immune environment, but low serum albumin does not correlate with protein-energy malnutrition, and it indicates a high metabolic risk and prediction of cancer morbidity and mortality. 29 On the other hand, circulating effector cells are the basis for producing natural and therapeutic-induced anticancer responses. CD8+ T and NK cells directly or indirectly recruit adaptive immune cells by producing chemokines and stimulating antigen-presenting cells to trigger effective cancer immune monitoring.…”

Section: F I G U R Ementioning

confidence: 99%

The prognostic value of prognostic nutritional index in advanced cancer receiving PD‐1/L1 inhibitors: A meta‐analysis

Lai

Tian

et al. 2022

Cancer Medicine

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Purpose To study the prognostic value of the prognostic nutritional index (PNI) in advanced cancers receiving programmed death‐1/programmed death‐ligand 1 (PD‐1/L1) inhibitors. Methods Online electronic databases were comprehensively searched and available literature was retrieved. We extracted available data from included researches and pooled the hazard ratios (HRs) and 95% confidence intervals (CIs) to learn the prognostic value of PNI on overall survival (OS) or progression‐free survival (PFS); and meanwhile calculated the relative risk (RR) with 95% CI to study the relationship between PNI and treatment efficacy (objective response rate [ORR] or disease control rate [DCR]) in late staged cancer receiving PD‐1/L1 inhibitors. Results Nine studies were finally selected for this meta‐analysis. We obtained data regarding PNI on OS from all nine studies, and the pooled HR was 2.31 (95% CI 1.81–2.94, p = 0.000), showing a correlation between low PNI and worse OS. Eight studies reported a relationship between PNI and PFS, and combined results revealed shorter PFS in patients with lower PNI, with an HR of 1.75 (95% CI 1.40–2.18, p = 0.000). Four studies explored the association between PNI and ORR and two studies explored the influence of PNI on DCR. An association between PNI and ORR (RR = 0.47, p = 0.003) was observed, while no association between PNI and DCR (RR = 0.49, p = 0.103) was observed by pooling these studies. Conclusion In summary, this meta‐analysis indicated that a lower PNI was significantly correlated with decreased OS and PFS and played adverse roles in ORR in advanced cancer patients receiving PD‐1/L1 inhibitors. Therefore, PNI could be promising for predicting prognosis and treatment response in advanced malignancies treated with PD‐1/L1 inhibitors.

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“…Medical professionals and cancer patients alike believe toxicities are inevitable and general amelioration techniques are often overlooked. Difficulty eating and malnutrition during cancer therapy are common problems that can be assessed with many tools [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51]. The challenge is to have an acceptable quality and quantity of nutrient intake with minimal toxicity without compromising effective cancer treatment.…”

Section: Drug Combinationsmentioning

confidence: 99%

“…Malnutrition in cancer patients is a common problem. There are many indices and tools to define malnutrition, cachexia, and sarcopenia [35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51]62,[69][70][71][72][73][74][75][76][77]. Although weight loss from the time of diagnosis is one measure, the quantity and quality of food in the diet and information from the patient generated subjective global assessment (PG-SGA) tool can provide more specific information [35,36,45,51,62,66,[69][70][71][72][73][78][79][80].…”

Section: Review Of Strategies To Improve Eating Behaviors While Receiving Chemotherapy And/or Radiationmentioning

confidence: 99%

Strategies to Mitigate Chemotherapy and Radiation Toxicities That Affect Eating

et al. 2021

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Background: Cancer and its therapy is commonly associated with a variety of side effects that impact eating behaviors that reduce nutritional intake. This review will outline potential causes of chemotherapy and radiation damage as well as approaches for the amelioration of the side effects of cancer during therapy. Methods: Information for clinicians, patients, and their caregivers about toxicity mitigation including nausea reduction, damage to epithelial structures such as skin and mucosa, organ toxicity, and education is reviewed. Results: How to anticipate, reduce, and prevent some toxicities encountered during chemotherapy and radiation is detailed with the goal to improve eating behaviors. Strategies for health care professionals, caregivers, and patients to consider include (a) the reduction in nausea and vomiting, (b) decreasing damage to the mucosa, (c) avoiding a catabolic state and muscle wasting (sarcopenia), and (d) developing therapeutic alliances with patients, caregivers, and oncologists. Conclusions: Although the reduction of side effects involves anticipatory guidance and proactive team effort (e.g., forward observation, electronic interactions, patient reported outcomes), toxicity reduction can be satisfying for not only the patient, but everyone involved in cancer care.

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Good performance of the Global Leadership Initiative on Malnutrition criteria for diagnosing and classifying malnutrition in people with esophageal cancer undergoing esophagectomy

Cited by 25 publications

References 41 publications

Inflammation and nutrition-based biomarkers in the prognosis of oesophageal cancer: a systematic review and meta-analysis

Inflammation and nutrition-based biomarkers in the prognosis of oesophageal cancer: a systematic review and meta-analysis

The prognostic value of prognostic nutritional index in advanced cancer receiving PD‐1/L1 inhibitors: A meta‐analysis

Strategies to Mitigate Chemotherapy and Radiation Toxicities That Affect Eating

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