Biliary tract cancer (BTC) is a rare, aggressive malignancy with increasing incidence and poor prognosis. Identifying preoperative prognostic factors is crucial for effective risk-benefit assessments and patient stratification. The prognostic nutritional index (PNI), which reflects immune-inflammatory and nutritional status, has shown prognostic value in various cancers, but its significance in BTC remains unclear.

To assess the prognostic value of the preoperative PNI in BTC patients, with a focus on overall survival (OS) and disease-free survival (DFS).

Comprehensive searches were conducted in the PubMed, EMBASE, and Web of Science databases from inception to April 2024. The primary outcomes of interest focused on the associations between the preoperative PNI and the prognosis of BTC patients, specifically OS and disease-free survival (DFS). Statistical analyses were conducted via STATA 17.0 software.

Seventeen studies encompassing 4645 patients met the inclusion criteria. Meta-analysis revealed that a low PNI was significantly associated with poorer OS [hazard ratio (HR) 1.91, 95%CI: 1.59-2.29; P < 0.001] and DFS (HR 1.93, 95%CI: 1.39-2.67; P < 0.001). Subgroup analyses revealed consistent results across BTC subtypes (cholangiocarcinoma and gallbladder cancer) and stages (resectable and advanced). Sensitivity analyses confirmed the robustness of these findings, and no significant publication bias was detected.

This study demonstrated that a low preoperative PNI predicts poor OS and DFS in BTC patients, highlighting its potential as a valuable prognostic tool. Further prospective studies are needed to validate these findings and enhance BTC patient management.

The importance of evaluating the nutritional status and immune condition prior to surgery has gained significant attention in predicting the prognosis of cancer patients in recent years. The objective of this study is to establish a risk model for predicting the prognosis of gallbladder carcinoma (GBC) patients. Data from GBC patients who underwent radical resection at West China Hospital of Sichuan University (China) from 2014 to 2021 were retrospectively collected. A novel risk model was created by incorporating the prognostic nutritional index and glucose-to-lymphocyte ratio, and each patient was assigned a risk score. The patients were then divided into low- and high-risk cohorts, and comparisons were made between the two groups in terms of clinicopathological features and prognosis. Propensity score matching was conducted to reduce potential bias. A total of 300 GBC patients receiving radical surgery were identified and included in this study. Patients in the high-risk group were older, had higher levels of serum carcinoembryonic antigen (CEA), cancer antigen 125 (CA125), and cancer antigen 19-9 (CA19-9), were more likely to experience postoperative complications, and had more aggressive tumor characteristics, such as poor differentiation, lymph node metastasis, and advanced tumor stage. They also had lower overall survival (OS) rates (5-year OS rate: 11.2% vs. 37.4%) and disease-free survival (DFS) rates (5-year DFS rate: 5.1% vs. 18.2%). After propensity score matching, the high-risk population still experienced poorer prognosis (5-year OS rate: 12.7% vs 20.5%; 5-year DFS rate: 3.2% vs 8.2%). The risk model combining prognostic nutritional index and glucose-to-lymphocyte ratio can serve as a standalone predictor for the prognosis and assist in optimizing the treatment approach for GBC patients.

Gallbladder cancer (GBC) is the most common malignant tumor of the biliary system, and is often undetected until advanced stages, making curative surgery unfeasible for many patients. Curative surgery remains the only option for long-term survival. Accurate postsurgical prognosis is crucial for effective treatment planning. tumor-node-metastasis staging, which focuses on tumor infiltration, lymph node metastasis, and distant metastasis, limits the accuracy of prognosis. Nomograms offer a more comprehensive and personalized approach by visually analyzing a broader range of prognostic factors, enhancing the precision of treatment planning for patients with GBC.

To identify risk factors and develop a predictive model for GBC prognosis.

A retrospective study analyzed the clinical and pathological data of 93 patients who underwent radical surgery for GBC at Peking University People's Hospital from January 2015 to December 2020. Kaplan-Meier analysis was used to calculate the 1-, 2- and 3-year survival rates. The log-rank test was used to evaluate factors impacting prognosis, with survival curves plotted for significant variables. Single-factor analysis revealed statistically significant differences, and multivariate Cox regression identified independent prognostic factors. A nomogram was developed and validated with receiver operating characteristic curves and calibration curves.

Among 93 patients who underwent radical surgery for GBC, 30 patients survived, accounting for 32.26% of the sample, with a median survival time of 38 months. The 1-year, 2-year, and 3-year survival rates were 83.87%, 68.82%, and 53.57%, respectively. Univariate analysis revealed that carbohydrate antigen 19-9 expression, T stage, lymph node metastasis, histological differentiation, surgical margins, and invasion of the liver, extrahepatic bile duct, nerves, and vessels (P ≤ 0.001) significantly impacted patient prognosis after curative surgery. Multivariate Cox regression identified lymph node metastasis (P = 0.03), histological differentiation (P < 0.05), nerve invasion (P = 0.036), and extrahepatic bile duct invasion (P = 0.014) as independent risk factors. A nomogram model with a concordance index of 0.838 was developed. Internal validation confirmed the model's consistency in predicting the 1-year, 2-year, and 3-year survival rates.

Lymph node metastasis, tumor differentiation, extrahepatic bile duct invasion, and perineural invasion are independent risk factors. A nomogram based on these factors can be used to personalize and improve treatment strategies.

The elderly comprises over one-third of hepatocellular carcinoma (HCC) patients, however, they are not adequately represented in prognostic studies. The study aims to determine the prognostic significance of the preoperative prognostic nutritional index (PNI) and develop nomograms for predicting their recurrence-free and overall survival (RFS and OS). The study consisted of 282 elderly patients (aged ≥ 65 years) with early-stage HCC (China Liver Cancer Staging System: I-IIA) after curative resection (R0). They were randomly divided into a training (n = 197) and a test cohort (n = 85). The patients were stratified into two groups: PNI-low (PNI ≤ 49.05) and PNI-high (PNI > 49.05) based on a cut-off value. Most patients' demographics and perioperative outcomes were comparable, while patients in the PNI-high group were younger (P = 0.002), heavier (P < 0.001), and had lower comorbidity rates (P = 0.003). Although the tumor stages were earlier in the PNI-low group (P < 0.001), patients' OS (5-year OS: 48.9% vs. 93.1%) and RFS (5-year RFS: 27.3% vs. 75.7%) were significantly worse compared to the PNI-high group (both P < 0.0001). Patients' OS and RFS nomograms were developed by incorporating independent survival predictors including chronic obstructive pulmonary disease (COPD), age ≥ 75 years, PNI-low, tumor presence of satellite nodules, capsule, and microvascular invasion. The nomograms showed good calibration and discrimination, with all C-indexes ≥ 0.75 and calibration plots essentially coinciding with the diagonal. In conclusion, for elderly HCC patients, COPD, age ≥ 75 years, PNI-low, and tumor presence of satellite nodules, capsule, and microvascular invasion were independent prognostic factors. The nomogram could accurately predict the prognosis of these patients.

The Naples prognostic score (NPS) is a comprehensive prognostic model that includes inflammatory and nutrition-related indicators and is increasingly used as a prognostic score for various malignant tumors. Given its predictive effect on prognosis in patients with gallbladder cancer, it is currently unclear. This study aimed to investigate the role of preoperative NPS in predicting prognosis in gallbladder cancer surgery patients.

A retrospective analysis was performed for 135 patients who underwent radical surgery for gallbladder cancer without preoperative treatment between March 2011 and January 2020. NPS was calculated by measuring the preoperative total cholesterol value, serum albumin value, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). They were then divided into 3 groups (groups 0, 1, and 2) based on NPS scores. Survival analysis was performed using the Kaplan-Meier method and log-rank test. Univariate and multivariate Cox proportional hazards models were used to identify independent prognostic factors. Plot time-dependent receiver operating characteristic (ROC) curves to compare the prognostic value of scoring systems. Finally, a nomogram model was developed with independent prognostic factors.

Multivariate analysis showed that NPS was an independent risk factor affecting OS (HR = 3.417, p < 0.05). The time-dependent ROC curve results showed that NPS had a better predictive value on survival prognosis than other indicators. The nomogram constructed according to independent factors such as NPS has a good predictive ability for OS.

As a simple and reliable tool, the NPS has important predictive value in the survival prognosis of gallbladder cancer patients. The nomogram model constructed by NPS will help determine prognosis and make individualized treatment decisions.

To investigate the impact of prognostic nutritional index (PNI) on short- and long-term outcomes of patients who underwent curative-intent resection for gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs).

Patients with GET-NETs who underwent curative-intent resection were identified from a multi-center database. The prognostic impact of clinicopathological factors including PNI on post-operative outcomes were evaluated. A novel nomogram was developed and externally validated.

A total of 2,099 patients with GEP-NETs were included in the training cohort; 255 patients were in the external validation cohort. Median PNI (n = 973) was 47.4 (IQR 43.1-52.4). At the time of presentation, 1,299 (61.9%) patients presented with some type of clinical symptom. Low-PNI (≤42.2) was associated with gastrointestinal symptoms, as well as nodal metastasis and distant metastasis (all p < 0.05). Patients with a low PNI had a higher incidence of severe (≥Clavien-Dindo grade IIIa: low PNI 24.9% vs. high PNI 15.4%, p = 0.001) and multiple (≥3 types of complications: low PNI 14.5% vs. high PNI 9.2%, p = 0.024) complications, as well as a worse overall survival (OS)(5-year OS, low PNI 73.7% vs. high PNI 88.5%, p < 0.001), and RFS (5-year RFS, low PNI 68.5% vs. high PNI 79.8%, p = 0.008) versus patients with high PNI (>42.2). A nomogram based on PNI, tumor grade and metastatic disease demonstrated excellent discrimination and calibration to predict OS in both the training (C-index 0.748) and two external validation (C-index 0.827, 0.745) cohorts.

Low PNI was common and associated with worse short- and long-term outcomes among patients with GEP-NETs.

This study aimed to evaluate the usability of neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), prognostic nutritional index (PNI), and serum albumin level in predicting cholecystectomy morbidity in elderly patients (85 years and older) who underwent cholecystectomy for acute cholecystitis.

This retrospective study included super-elderly patients who underwent cholecystectomy due to acute cholecystitis at a tertiary health centre between January 2010 and January 2021. The patients were divided into two groups according to the presence of postoperative complications (morbidity). The differences between the two groups were evaluated. In addition, the role of NLR, PLR, PNI, and serum albumin level in predicting cholecystectomy morbidity for acute cholecystitis in super-elderly patients was assessed via ROC analysis.

Of 30 patients who met the study criteria, 22 (73.3%) were female, and the mean age of all patients was 87.43±2.66 years (range 85-94 years). 7 (23.3%) patients had at least one comorbid disease during the preoperative period. The mean value of NLR, PLR, albumin, and PNI were 8.31, 153.76, 3.45, and 48.37, respectively. The morbidity rate of the study was 23.3%. The area under the curve (AUC) for NLR was 0.466 ([95% confidence interval [CI]: 0.259-0.672]; P=0.787), and the AUC for PLR was 0.429 ([95% CI: 0.201-0.656]; P=0.573). These two factors were not suitable for predicting morbidity. The AUC for PNI was 0.780 ([95% CI: 0.568-0.991]; P=0.027), and the AUC for albumin was 0.894 ([95% CI: 0.770-1.000]; P=0.002). At the cut-off value of 3.05 g/dL, the sensitivity and specificity of albumin were 91.3% and 71.4%, respectively, while the sensitivity and specificity of PNI at the 41.70 cut-off value were 82.6% and 71.4%, respectively.

This study found that PNI and albumin can be used as predictive factors with high sensitivity and specificity for predicting cholecystectomy morbidity for acute cholecystitis in super-elderly patients. However, NLR and PLR had no significance in predicting cholecystectomy morbidity.

To explore and screen preoperative serum immune response level-related biomarkers with better prognostic ability and developed a prognostic model for decision-making in clinical practice for gallbladder carcinoma (GBC) patients.

A total of 427 patients who underwent radical resection for GBC in the Department of Hepatobiliary Surgery of the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2020 were retrospectively analyzed. Time-dependent receiver operating characteristic (time-ROC) was performed to determine the prognostic predictive power of preoperative biomarkers. A nomogram survival model was established and validated.

Time-ROC indicated that the preoperative fibrinogen-to-albumin ratio (FAR) had a better predictive ability for overall survival among preoperative serum immune response level-related biomarkers. Multivariate analysis indicated that FAR was an independent risk factor (P<0.05). The proportion of clinicopathological characteristics of poor prognosis (such as advanced T stage, and N1-2 stage) was significantly higher in high FAR group (P<0.05). Subgroup analyses indicate the prognostic discrimination ability of FAR depended on CA19-9, CA125, liver involvement, major vascular invasion, perineural invasion, T stage, N stage, and TNM stage (all P <0.05). A nomogram model was established based on the prognostic independent risk factors with the C-index of 0.803 (95% CI:0.771~0.835) and 0.774 (95% CI:0.696~0.852) in the training and testing sets, respectively. The decision curve analysis indicated the nomogram model had a better predictive ability than the FAR and TNM staging system in the training and testing sets.

Preoperative serum FAR has a better predictive ability for overall survival among preoperative serum immune response level-related biomarkers, and it can be used for survival assessment of GBC and guide clinical decision-making.