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Preoperative prognostic nutritional index shows no significant prognostic value for short-term outcomes of anastomosis-leakage patients after cancerous esophagectomy. A-Lai Gu-Ha,Deng Han-Yu,Song Tie-Niu,Luo Jun,Zhuo Ze-Guo,Shen Xu,Lin Yi-Dan Annals of palliative medicine BACKGROUND:The relationship between preoperative nutritional and immunological status and long-term outcome after cancerous esophagectomy has been investigated widely. Growing evidence also demonstrated preoperative nutritional and immunological status also affects short-term outcome after surgery for esophageal cancer. However, the relationship between preoperative nutritional and immunological status and short-term outcome of anastomosis-leakage patients after cancerous esophagectomy was scarce. The aim of this study was to evaluate the association between preoperative prognostic nutritional index (PNI) and short-term outcome of anastomosis-leakage patients after surgery. METHODS:In this study, we retrospectively enrolled 90 patients who were confirmed to be esophageal cancer by preoperative biopsy or postoperative pathological review and also suffered postoperative anastomotic leakage from January 2014 to June 2017 at the Department of Thoracic Surgery, West China Hospital. Then we evaluated the association between PNI and short-term surgical outcome. The endpoints included postoperative mortality, postoperative hospital duration, postoperative intensive care unit (ICU) duration, hospitalization cost. RESULTS:The cut-off value of PNI was set at 49.83 in our study, patients with a preoperative PNI ≥49.83 were divided into high-PNI group, while those with a preoperative PNI <49.83 were classified into low-PNI group. For the postoperative anastomosis-leakage patients in the two groups, baseline characteristics were all comparable, and analysis revealed no significantly statistical difference between the two groups regarding mortality, postoperative hospital duration and postoperative ICU duration. Though mean hospital-duration cost (144,791.08±87,312.87 vs. 127,364.25±69,233.16) was more in the low-PNI group, there was still no significant difference demonstrated (P=0.297). There was no significant difference revealed between the subgroups of non-death patients from the two original groups concerning the endpoints, while the hospital-duration cost of the high-PNI group tended to be lower than low-PNI group (125,262.80±71,304.12 vs. 136,421.60±77,052.49, P=0.503). CONCLUSIONS:Although in-hospital cost of high-PNI group tended to be lower than low-PNI group, preoperative PNI showed no significant prognostic value for short-outcomes of anastomosis-leakage patients after cancerous esophagectomy. More prospective studies were badly needed to provide more evidence in the future. 10.21037/apm.2019.11.08
The prognostic nutritional index is a predictive indicator of prognosis and postoperative complications in gastric cancer: A meta-analysis. Yang Y,Gao P,Song Y,Sun J,Chen X,Zhao J,Ma B,Wang Z European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology BACKGROUND:The clinical value of the prognostic nutritional index (PNI) in gastric cancer (GC) remains controversial. Therefore, we performed the meta-analysis to determine the prognostic and clinicopathological values of PNI in patients with GC. METHODS:A literature search was performed in the PubMed, Embase, and Web of Science databases. Hazard ratios (HRs) and odds ratios (ORs) were extracted to estimate the association of PNI with survival and clinicopathological characteristics, respectively. RESULTS:Ten studies involving 3396 patients with GC were analyzed. The pooled results indicated that a low PNI was a significant predictor of poor overall survival (OS) (HR = 1.89, 95% confidence interval [CI] = 1.67-2.13, P < 0.01) and postoperative complications (OR = 1.74, 95% CI = 1.41-2.16, P < 0.01). In the subgroup analysis, a low PNI was significantly associated with poor OS in patients with GC at stage I, II and III, but not at stage IV (HR = 1.14, 95% CI = 0.84-1.55, P = 0.40). Moreover, a low PNI was significantly associated with more advanced tumor features, such as older age, deeper depth of tumor, positive lymph node metastasis, more advanced TNM stages, and positive vessel and lymphatic invasion. CONCLUSION:PNI was a predictive indicator of survival and postoperative complications, and was associated with clinicopathological features in GC patients. However, a low PNI was not significantly associated with poor OS in patients with GC at stage IV. 10.1016/j.ejso.2016.05.029
Association of nutritional indices and prognosis of stroke patients: a systematic review and meta-analysis. European review for medical and pharmacological sciences OBJECTIVE:The aim of this study was to document the association between malnutrition and mortality as well as functional outcomes in patients with stroke. MATERIALS AND METHODS:PubMed, Embase and Scopus databases were systematically searched for observational studies that had used either of the three nutritional indices, geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status score (CONUT), and examined the association between malnutrition and outcomes of interest in patients with stroke. The primary outcome was mortality and secondary outcomes were risk of recurrence and functional disability. Analysis was performed using STATA 16.0 software (College Station, TX, USA) and pooled effect sizes were reported as either hazards ratio (HR) or as odds ratio (OR). Random effects model was used for the analysis. RESULTS:A total of 20 studies were included, of which, 15 were focused on acute ischemic stroke (AIS) patients. Among patients with AIS, moderate to severe malnutrition, assessed using CONUT (OR 4.80, 95% CI: 2.31, 9.98), GNRI (OR 3.57, 95% CI: 2.08, 6.12) and PNI (OR 8.10, 95% CI: 4.69, 14.0), was associated with increased risk of mortality within 3 months and at 1-year follow-up (CONUT: OR 2.74, 95% CI: 1.96, 3.83; GNRI: OR 2.26, 95% CI: 1.34, 3.81; PNI: OR 3.32, 95% CI: 2.24, 4.93). Patients with moderate to severe malnutrition, assessed using any of the three indices, had an increased risk of having an unfavourable outcome [modified Rankin Score (mRS) score of 3 to 6, denoting major disability and/or death] within 3 months and at 1-year follow-up. Only one study reported the risk of recurrence. CONCLUSIONS:Assessing malnutrition in stroke patients at the time of hospital admission using any of the three nutritional indices is useful due to the observed association of malnutrition with survival and functional outcomes. However, due to a limited number of studies, there is a need for large prospective studies to validate the findings observed in this meta-analysis. 10.26355/eurrev_202306_32819
Impact of the preoperative prognostic nutritional index on postoperative and survival outcomes in colorectal cancer patients who underwent primary tumor resection: a systematic review and meta-analysis. Sun Guangwei,Li Yalun,Peng Yangjie,Lu Dapeng,Zhang Fuqiang,Cui Xueyang,Zhang Qingyue,Li Zhuang International journal of colorectal disease PURPOSE:We aimed to explore whether the preoperative prognostic nutritional index (PNI) could be an indicator of prognostic outcomes in colorectal cancer (CRC) patients. METHODS:A systematic review and meta-analysis was conducted using the PubMed, Embase, and Web of Science databases. All original comparative studies published in English that were related to a high PNI versus a low PNI in CRC patients were included. RESULTS:A total of 10 studies involving 6372 patients were included in our meta-analysis. Our overall analysis indicated that the low-PNI group had a significantly reduced overall survival (OS) (HR = 1.87, 95% CI = 1.45-2.42, P < 0.01), cancer-specific survival (HR = 1.53, 95% CI = 1.07-2.19, P = 0.02), and disease-free survival (HR = 1.67, 95% CI = 1.23-2.26, P < 0.01) compared with the high-PNI group. Furthermore, our subgroup results indicated that a high PNI could be a significant indicator of improved OS in TNM stage II (HR = 1.93, 95% CI = 1.29-2.90, P < 0.01) and III (HR = 1.71, 95% CI = 1.25-2.34, P < 0.01), and a similar trend in TNM stage I or IV could also be observed though without statistical significance. Regarding postoperative complications, our pooled results indicated that the low-PNI group had a significantly increased incidence of total and severe postoperative complications. CONCLUSIONS:Our findings indicated that CRC patients with a preoperative high PNI had a significantly improved OS. However, almost only Asian CRC patients were included based on current issue. 10.1007/s00384-019-03241-1
Predictive Impact of Prognostic Nutritional Index in Patients with Cancer Treated with Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis. Nutrition and cancer A few previous studies have investigated the prognostic value of the prognostic nutritional index (PNI) in patients treated with immune checkpoint inhibitors (ICIs); however, the results are inconsistent. Therefore, this study aimed to clarify the prognostic significance of PNI. The PubMed, Embase, and Cochrane Library databases were searched. A meta-analysis of the impact of PNI on overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and rate of adverse events (AEs) in patients treated with ICIs was performed. Twenty-three studies involving 2,386 patients were included. Low PNI was associated with significantly poor OS (hazard ratio [HR] = 2.26, 95% confidence interval [CI]: 1.81-2.82,  < .001) and short PFS (HR = 1.75, 95% CI: 1.54-1.99,  < .001). Patients with low PNI tended to have a low ORR (odds ratio [OR] = 0.47, 95% CI: 0.34-0.65,  < .001) and DCR (OR = 0.43, 95% CI: 0.34-0.56,  < .001). However, the subgroup analysis demonstrated no significant association between PNI and survival time in patients receiving a programmed death ligand-1 inhibitor. PNI was significantly associated with survival time and treatment efficacy in patients treated with ICIs. 10.1080/01635581.2023.2203355
Association of Preoperative Prognostic Nutritional Index with Risk of Postoperative Acute Kidney Injury: A Meta-Analysis of Observational Studies. Nutrients This meta-analysis aimed to assess the clinical association of the preoperative prognostic nutritional index (pre-PNI) with the risk of postoperative acute kidney injury. Four databases (e.g., Medline) were searched from inception to December 2022 to investigate the association between pre-PNI (i.e., low vs. high) and PO-PNI as well as the correlation between pre-PNI and other postoperative prognostic indices. Overall, 13 observational studies, including 9185 patients, were eligible for analysis. A low PNI was related to increased risks of PO-AKI [odd ratio (OR) = 1.65, = 0.001, 3811 patients], postoperative infection (OR = 2.1, < 0.00001, 2291 patients), and mortality (OR = 1.93, < 0.0001, 2159 patients). Albeit statistically nonsignificant, a trend was noted, linking a low PNI to higher risks of postoperative bleeding (OR = 2.5, = 0.12, 1157 patients) and stroke (OR = 1.62, = 0.07, 2036 patients). Pooled results revealed a prolonged intensive care unit (ICU) stay in patients with low PNIs compared to those with high PNIs (MD: 0.98 days, = 0.02, 2209 patients) without a difference in hospital stay between the two groups (MD: 1.58 days, = 0.35, 2249 patients). This meta-analysis demonstrated an inverse correlation between PNI and the risks of PO-AKI, postoperative infection, and mortality, as well as the length of ICU stay, which warrants further investigations for verification. 10.3390/nu15132929
Prognostic value of geriatric nutritional risk index in elderly patients with heart failure: a meta-analysis. Li Hengdong,Cen Kaidong,Sun Weifeng,Feng Beili Aging clinical and experimental research BACKGROUND:Geriatric Nutritional Risk Index (GNRI) is a promising tool for predicting nutrition-related complications. This meta-analysis sought to determine the prognostic utility of GNRI in elderly patients with heart failure. METHODS:We comprehensively searched the PubMed and Embase databases from their inception to July 2019. Original studies investigating the prognostic value of GNRI in patients with heart failure were included. Outcome of interests were all-cause mortality and major cardiovascular events. The prognostic value of GNRI was expressed as risk ratios (RR) with 95% confidence intervals (CI) for the lowest versus the highest GNRI category or continuous GNRI analysis. RESULTS:Eleven articles (10 studies) involving 10,589 elderly heart failure patients were included. Meta-analysis indicated that heart failure patients with the lowest GNRI had an increased risk of all-cause mortality (RR 2.11; 95% CI 1.72-2.58) and major cardiovascular events (RR 2.00; 95% CI 1.24-3.22) after adjustment for confounding. In addition, each unit reduction in GNRI significantly increased 6% risk of all-cause mortality. CONCLUSION:Lower GNRI independently predicts all-cause mortality and major cardiovascular events in elderly patients with heart failure. Determination of nutritional status using GNRI may improve risk stratification in elderly patients with heart failure. 10.1007/s40520-020-01656-3
Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: A systematic review and meta-analysis. Hu Yuanyuan,Shen Jie,Liu RuiKe,Feng ZhiMei,Zhang ChangNing,Ling Li,Chen LiBo The International journal of biological markers BACKGROUND::The pretreatment prognostic nutritional index has been considered a potential prognostic biomarker in patients with non-small cell lung cancer (NSCLC), but this remains controversial. Therefore, we performed a meta-analysis to systematically assess the prognostic value of the prognostic nutritional index in patients with NSCLC. METHODS::We systematically searched PubMed, EMBASE, Web of Science, and CNKI. The hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were used to evaluate the link between the prognostic nutritional index and the oncological outcomes of patients with NSCLC, including overall survival, disease-free survival/recurrence-free survival, and progression-free survival. RESULTS::Fifteen studies were included in this meta-analysis. Twelve of these studies explored the association between the prognostic nutritional index and the overall survival of patients with NSCLC. Our pooled analysis indicated that a low prognostic nutritional index was significantly related to adverse overall survival (HR 1.61; 95% CI 1.44, 1.81; P < 0.001). Our results also showed that the prognostic nutritional index was a negative predictor for disease-free survival/recurrence-free survival, and progression-free survival in patients with NSCLC. CONCLUSION::Our meta-analysis demonstrated that there was a close association between the prognostic nutritional index value and prognosis in NSCLC patients and that the prognostic nutritional index may act as a useful prognostic biomarker in NSCLC patients. 10.1177/1724600818799876
Prognostic Nutritional Index Predicts Outcomes of Patients after Gastrectomy for Cancer: A Systematic Review and Meta-Analysis of Nonrandomized Studies. Li Jian,Xu Run,Hu Deng-Min,Zhang Yao,Gong Tu-Ping,Wu Xue-Lian Nutrition and cancer OBJECTIVE:The primary aim of this systematic review was to evaluate the survival predication value of preoperative prognostic nutritional index (PNI) in patients with gastric cancer. The second aim was to explore the relationship between preoperative PNI and clinicopathological features. METHODS:A systematic search of the electronic databases identified studies that investigated the association of preoperative PNI with short or long-term outcomes among patients after gastrectomy for cancer. Qualitative and quantitative analysis of results was conducted. RESULTS:Twenty-five studies with a total of 14,403 patients with gastric cancer met inclusion criteria for this review. Pooled analysis demonstrated that low preoperative PNI was associated with significantly reduced overall survival (HR 1.81, 95% CI: 1.56-2.09; P = 0.000), cancer-specific survival (HR 1.61, 95% CI: 1.24-2.10; P = 0.000), and recurrence-free survival (HR 1.82, 95% CI: 1.20-2.77; P = 0.005). In addition, risk of postoperative complications (POCs) and mortality was significantly higher in patients with lower preoperative PNI (RR 1.77, 95% CI: 1.44-2.17; P = 0.000 and RR 5.14, 95% CI: 2.23-11.79; P = 0.000, respectively). CONCLUSION:This study suggests that patients with low preoperative PNI may have a high incidence of POCs and poor prognosis following gastrectomy for cancer. 10.1080/01635581.2019.1577986
Low Prognostic Nutritional Index Predicts Adverse Outcomes in Patients With Heart Failure: A Systematic Review and Meta-analysis. Angiology The association of low prognostic nutritional index (PNI) with adverse outcomes remains conflicting in heart failure patients. To address these knowledge gaps, we performed this meta-analysis to investigate the predictive value of PNI in patients with heart failure (HF). PubMed and Embase databases were comprehensively searched until January 19, 2023, to identify studies that evaluated the predictive role of PNI in HF patients. Outcomes of interest included all-cause mortality and/or combined endpoint of mortality and re-hospitalization. Twelve studies involving 9365 patients with HF were included and analyzed. Comparison of the lowest with the highest PNI, the pooled multivariate adjusted risk ratio (RR) was 1.79 (95% confidence interval [CI] 1.40-2.30) and 2.67 (95% CI 1.92-3.71) for long-term all-cause mortality and combined endpoint of mortality and re-hospitalization, respectively. Furthermore, per unit reduction in PNI was associated with 8% higher risk of all-cause mortality. However, there was no clear association of low PNI with in-hospital mortality. Low PNI may be an independent predictor of long-term all-cause mortality and re-hospitalization in patients with HF. Estimation of nutritional state using the PNI may provide an important clue for risk stratification in these patients. 10.1177/00033197231159680
The prognostic significance of the prognostic nutritional index in cancer: a systematic review and meta-analysis. Sun Kaiyu,Chen Shuling,Xu Jianbo,Li Guanghua,He Yulong Journal of cancer research and clinical oncology PURPOSE:The prognostic nutritional index (PNI) is a simple and effective parameter, initially created to evaluate preoperative nutritional conditions and surgical risk. It has been recently been found to be associated with short- and long-term outcomes of various malignancies. We performed a meta-analysis to determine the predictive significance of PNI in cancer, as a mean to assist in determining the optimal surgery timing and in improving the survival of cancer patients. METHODS:Data were retrieved from PubMed and ISI Web of Science to identify eligible studies. Odds ratios (ORs) and hazard ratios (HRs) were extracted and pooled to explore the relationships of PNI with patient survival and clinicopathological features. RESULTS:Fourteen studies with a total of 3,414 participants met the inclusion criteria. Low PNI was associated with poor overall survival (pooled OR 1.80, 95 % confidence interval [CI] 1.59-2.04) and the presence of post-operative complications (pooled OR 2.45, 95 % CI 1.31-4.58) in cancer patients, but not with cancer-specific survival (CSS) (pooled HR 1.81, 95 % CI 0.94-3.49). PNI was also found to be associated with invasion depth (pooled OR 5.07, 95 % CI 2.34-10.96) and lymph node metastasis (pooled OR 3.70, 95 % CI 2.32-5.92) in gastric cancer, whereas TNM stage was the only clinicopathological feature associated with PNI in colorectal carcinoma (pooled OR 1.81, 95 % CI 1.24-2.64). CONCLUSIONS:PNI might be an effective predictive indicator for the prognosis of cancer, especially digestive system carcinomas. Further studies are required to verify the significance of PNI in clinical practice. 10.1007/s00432-014-1714-3
Prognostic nutritional index as a prognostic factor for renal cell carcinoma: A systematic review and meta-analysis. PloS one BACKGROUND:Prognostic nutritional index (PNI) is a simple parameter which reflects patient's nutritional and inflammatory status and reported as a prognostic factor for renal cell carcinoma (RCC). Studies were included from database inception until February 2, 2022. The aim of this study is to evaluate prognostic value of PNI by meta-analysis of the diagnostic test accuracy in RCC. METHODS AND FINDINGS:Studies were retrieved from PubMed, Cochrane, and EMBASE databases and assessed sensitivity, specificity, summary receiver operating characteristic curve (SROC) and area under curve (AUC). Totally, we identified 11 studies with a total of 7,296 patients were included to evaluate the prognostic value of PNI in RCC finally. They indicated a pooled sensitivity of 0.733 (95% CI, 0.651-0.802), specificity of 0.615 (95% CI, 0.528-0.695), diagnostic odds ratio (DOR) of 4.382 (95% CI, 3.148-6.101) and AUC of 0.72 (95% CI, 0.68-0.76). Heterogeneity was significant and univariate meta-regression revealed that metastasis and cut-off value of PNI might be the potential source of heterogeneity. Multivariate meta-regression analysis also demonstrated that metastasis might be the source of heterogeneity. CONCLUSIONS:PNI demonstrated a good diagnostic accuracy as a prognostic factor for RCC and especially in case of metastatic RCC. 10.1371/journal.pone.0271821
Prognostic utility of the geriatric nutritional risk index for head and neck cancer: Systematic review and meta-analysis. Head & neck We conducted a systematic review of the literature to assess the potential prognostic utility of geriatric nutritional risk index (GNRI) for head and neck cancer (HNC). We selected studies and extracted data after searching the Cochrane Library, EMBASE, and PubMed databases. The associations between GNRI and survival outcomes were explored by calculating hazard ratios (HRs) and 95% confidence intervals (CIs) through a random-effects meta-analysis. We included 11 studies that involved 2887 patients with HNC. The combined HR demonstrated significant associations of low GNRI with unfavorable progression-free survival (HR = 1.87, 95% CI = 1.32-2.65, p < 0.001) and overall survival (HR = 3.04, 95% CI = 2.30-4.03, p < 0.001). The association between the GNRI and overall survival persisted across various subgroups. The GNRI could serve as a valuable prognostic biomarker for patients with HNC. Low GNRI scores are significantly associated with unfavorable survival outcomes. 10.1002/hed.27842
Prognostic nutritional index as a prognostic factor in lung cancer patients receiving chemotherapy: a systematic review and meta-analysis. Zhang Q,Bao J,Zhu Z-Y,Jin M-X European review for medical and pharmacological sciences OBJECTIVE:Lung cancer is one of the leading causes of morbidity and mortality in the world. In the past decade, numerous studies focus on the prognostic nutritional index (i.e., a measure of serum albumin and lymphocyte in peripheral circulation) as a possible biomarker to predict the survival outcomes in cancer patients undergoing chemotherapy. Prognostic nutritional index can reliably predict the survivability outcomes by effectively quantifying the nutritional and immunological status of cancer patients. To date, only one review has attempted to evaluate the impact of the prognostic nutritional index on the survival outcomes in lung cancer patients with certain limitations. The goal of the present systematic review and meta-analysis is to bridge the gap in the literature and evaluate the capacity of the prognostic nutritional index for predicting the survivability outcomes in lung cancer patients undergoing chemotherapy. The aim of the study is to evaluate the impact of prognostic nutritional index scoring on survival outcomes in lung cancer patients undergoing chemotherapy. MATERIALS AND METHODS: A systematic academic literature search was performed based on the PRISMA guidelines across Web of Science, EMBASE, CENTRAL, Scopus, and MEDLINE databases. A random-effect meta-analysis was performed to evaluate the impact of prognostic nutritional index scoring (i.e., high/low) on survival outcomes (i.e., progression-free survival, overall survival) in lung cancer patients undergoing chemotherapy. RESULTS: From 963 studies, 16 eligible studies with 4250 lung cancer patients (62.32 ± 5.08 years) undergoing chemotherapy were included. Our meta-analysis revealed worse mortality outcomes in terms of progression-free survival (HR: 1.31) and overall survival (1.21) for the group with a low prognostic nutritional index score as compared to the group with a high prognostic nutritional index score in lung cancer patients undergoing chemotherapy. Subsequent subgroup analyses further demonstrated markedly worse outcomes for progression-free survival (1.32) and overall survival (1.52) in non-small lung cancer patients with lower prognostic nutritional index scores. CONCLUSIONS: We provide preliminary evidence suggesting that lower prognostic nutrition index scores are associated with worse survivability outcomes (progression-free survival and overall survival) in lung cancer patients undergoing chemotherapy. We also show that lower prognostic nutrition index scores correlate with even worse survival outcomes in patients with non-small lung cancer histological subtype of lung cancer. These findings should help clinicians to stratify the risks associated with the chemotherapeutic management of lung cancer patients. 10.26355/eurrev_202109_26783
Prognostic nutritional index and prognosis in renal cell carcinoma: A systematic review and meta-analysis. Kim Sun Il,Kim Se Joong,Kim Seong Jang,Cho Dae Sung Urologic oncology PURPOSE:To perform a systematic review and meta-analysis of the Prognostic Nutritional Index (PNI) as a prognostic factor for renal cell carcinoma (RCC). MATERIALS AND METHODS:Eligible studies that evaluated the prognostic impact of pretreatment PNI in RCC patients were identified by comprehensive searching the electronic databases PubMed, Cochrane Central Search library, and EMBASE. The end points were overall/cancer-specific survival (OS/CSS) and recurrence-free/disease-free survival (RFS/DFS). Meta-analysis using random-effects models was performed to calculate hazard ratios (HRs) with 95 % confidence intervals (CIs). RESULTS:In total, 9 retrospective, observational, case-control studies involving 5,976 patients were included for final analysis. Eight studies evaluated OS/CSS, and 5 evaluated RFS/DFS. Our results showed that lower PNI was significantly associated with unfavorable OS/CSS (HR = 1.68, 95% CI 1.44-1.96, P < 0.001, I = 9.2%, P = 0.359) and RFS/DFS (HR = 1.98, 95% CI 1.57-2.50, P < 0.001, I = 18.2%, P = 0.299) in patients with RCC. Subgroup and meta-regression analysis based on ethnicity, study sample size, presence of metastasis, PNI cut-off value, Newcastle-Ottawa quality assessment scale (NOS) score, and gender ratio all showed that lower PNI was associated with poorer OS/CSS and RFS/DFS. Funnel plots and Egger's tests indicated significant publication bias in OS/CSS (P = 0.001), but not in RFS/DFS (P = 0.757). CONCLUSION:This meta-analysis indicated that lower PNI was a negative prognostic factor and associated with tumor progression and poorer survival of patients with RCC. Therefore, PNI could be a potential prognostic predictor of treatment outcomes for patients with RCC. 10.1016/j.urolonc.2021.05.028
Prognostic Value of Geriatric Nutritional Risk Index for Patients with Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis. Lung OBJECTIVE:The purpose of this review was to collate evidence on the prognostic ability of the geriatric nutritional risk index (GNRI) for predicting overall survival (OS) and disease-free survival (DFS) in non-small cell lung cancer (NSCLC). METHODS:The datasets of PubMed, Scopus, Embase, CENTRAL, and Google Scholar were searched up to 24 May 2022 for English-language studies reporting the association between GNRI and OS or DFS in NSCLC patients. RESULTS:Eleven studies with 2865 patients were included. We noted that low GNRI was a significant predictor of poor OS (HR: 1.96 95% CI 1.66, 2.30 I = 0% p < 0.00001) and poor DFS (HR: 1.74 95% CI: 1.36, 2.23 I = 34% p < 0.0001) in NSCLC patients. The results did not change on sensitivity analysis. There was no evidence of publication bias. Most results were significant on subgroup analysis based on study location, tumor stage, therapy type, sample size, and GNRI cut-off. CONCLUSION:Data indicate that GNRI has good prognostic ability in patients with NSCLC. Individuals with low GNRI are at an increased risk of poor OS and DFS. GNRI could be incorporated as a simple, easy-to-use tool for the initial stratification of patients thereby allowing focused treatment plans. 10.1007/s00408-022-00567-6
Pretreatment prognostic nutritional index as a prognostic factor in lung cancer: Review and meta-analysis. Wang Zhongtao,Wang Yongjun,Zhang Xinmei,Zhang Tingting Clinica chimica acta; international journal of clinical chemistry BACKGROUND:Numerous studies have explored the association between pretreatment prognostic nutritional index (PNI) and prognosis in lung cancer (LC), but the results are still inconclusive. We systematically evaluated the prognostic value of pretreatment PNI in LC patients by conducting a meta-analysis. METHODS:A comprehensive literature search was performed by retrieving PubMed, EMBASE, and Web of Science, Wan Fang and CNKI databases. We used hazard ratios (HRs) and their 95% confidence intervals (CIs) to assess the associations of PNI with overall survival (OS), disease-free survival/recurrence-free survival (DFS/RFS) and progression-free survival (PFS) in LC patients. RESULTS:A total of 21 studies were enrolled into this meta-analysis, with 17 about no-small cell lung cancer (NSCLC) and 4 about on small-cell lung cancer (SCLC). The results indicated that NSCLC patients with low PNI had shorter OS (HR: 1.59, 95% CI: 1.28-1.96, P = 0.001), DFS/RFS (HR = 1.74, 95% CI = 1.08-2.80, P = 0.017), and PFS (HR = 1.52, 95% CI = 1.26-1.83, P = 0.002) than patients with high PNI. The robustness of these pooled results were verified by our stratified analysis and sensitivity analysis. Besides, a pooled analysis of 4 studies about SCLC suggested that low PNI was closely associated with worse OS in SCLC patients as well. CONCLUSION:Low PNI predicts poor survival in LC patients. 10.1016/j.cca.2018.08.030
Inflammation-Related Biomarkers for the Prediction of Prognosis in Colorectal Cancer Patients. International journal of molecular sciences Colorectal cancer (CRC) is the leading cause of cancer deaths around the world. It is necessary to identify patients with poor prognosis or with high risk for recurrence so that we can selectively perform intensive treatments such as preoperative and/or postoperative chemotherapy and extended surgery. The clinical usefulness of inflammation-related prognostic biomarkers available from routine blood examination has been reported in many types of cancer, e.g., neutrophil-lymphocyte ratio (NLR), lymphocyte-C-reactive protein ratio (LCR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), and so on. Moreover, some scoring systems based on circulating blood cell counts and albumin concentration have been also reported to predict cancer patients' prognosis, such as the Glasgow prognostic score (GPS), systemic inflammation score (SIS), and prognostic nutritional index (PNI). The optimal biomarker and optimal cutoff value of the markers can be different depending on the cancer type. In this review, we summarize the prognostic impact of each inflammation-related marker in CRC. 10.3390/ijms22158002
[The Prognostic Value of Prognostic Nutritional Index in Patients with Lymphoma--Review]. Zhongguo shi yan xue ye xue za zhi The morbidity and mortality of hematological tumors have shown a rising tendency in recent years and become one of the major diseases which affect public health. The nutritional and inflammation status of the body has been proved to play an important role in the occurrence, development and prognosis of the blood system disease. The prognostic nutritional index (PNI) is an important index to reflect the nutritional and inflammation status of the body, and it can be calculated by serum albumin level and peripheral blood lymphocyte count. A large number of studies have reported that PNI can effectively predict the prognosis of several hematological tumors, including lymphoma. In this review, the prognostic value of PNI in patients with lymphoma was summarized briefly. 10.19746/j.cnki.issn.1009-2137.2022.02.054