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BACKGROUND@#Early fluid resuscitation is one of the fundamental treatments for acute pancreatitis (AP), but there is no consensus on the optimal fluid rate. This systematic review and meta-analysis aimed to compare the efficacy and safety of aggressive vs. controlled fluid resuscitation (CFR) in AP.@*METHODS@#The Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and Web of Science databases were searched up to September 30, 2022, for randomized controlled trials (RCTs) comparing aggressive with controlled rates of early fluid resuscitation in AP patients without organ failure on admission. The following keywords were used in the search strategy: "pancreatitis," "fluid therapy,""fluid resuscitation,"and "randomized controlled trial." There was no language restriction. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was used to assess the certainty of evidence. Trial sequential analysis (TSA) was used to control the risk of random errors and assess the conclusions.@*RESULTS@#A total of five RCTs, involving 481 participants, were included in this study. For primary outcomes, there was no significant difference in the development of severe AP (relative risk [RR]: 1.87, 95% confidence interval [CI] 0.95-3.68; P = 0.07; n = 437; moderate quality of evidence) or hypovolemia (RR: 0.98, 95% CI: 0.32-2.97; P = 0.97; n = 437; moderate quality of evidence) between the aggressive and CFR groups. A significantly higher risk of fluid overload (RR: 3.25, 95% CI: 1.53-6.93; P <0.01; n = 249; low quality of evidence) was observed in the aggressive fluid resuscitation (AFR) group than the controlled group. Additionally, the risk of intensive care unit admission ( P = 0.02) and the length of hospital stay ( P <0.01) as partial secondary outcomes were higher in the AFR group. TSA suggested that more studies were required to draw precise conclusions.@*CONCLUSION@#For AP patients without organ failure on admission, CFR may be superior to AFR with respect to both efficacy and safety outcomes.@*REGISTRATION@#PROSPERO; https://www.crd.york.ac.uk/PROSPERO/ ; CRD 42022363945.
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Humanos , Ensayos Clínicos Controlados Aleatorios como Asunto , Fluidoterapia , Hipovolemia , Pancreatitis/terapiaRESUMEN
Purpose@#Platelet-related indices, including mean platelet volume (MPV) and plateletocrit (PCT), have been reported as new prognostic factors of overall survival (OS) in many cancers, but not yet in biliary tract cancer (BTC). We intended to assess these indices in predicting OS in BTC patients with the aim to build a new prognostic model for patients with BTC after surgical resection. @*Materials and Methods@#Survival analysis and time receiver operating characteristic analysis were applied to screen the platelet indices. Univariate and multivariate Cox analyses were used to identify independent prognostic factors and develop a new prognostic model. Harrell’s C-statistics, calibration curves, and decisive curve analysis were used to assess the model. @*Results@#MPV and platelet distribution width (PDW)/PCT showed the best prognostic accuracy among the platelet indices. In multivariable analysis, factors predictive of poor OS were presence of nodal involvement, Non-radical surgery, poor tumor differentiation, carbohydrate antigen 19-9 > 100 U/mL, MPV > 8.1 fl, and PDW/PCT > 190. The new model was found to be superior to the TNM staging system and our new staging system showed higher discriminative power. @*Conclusion@#MPV and PDW/PCT have high prognostic value in BTC patients, and the novel staging system based on these two indices showed good discrimination and accuracy compared with the American Joint Committee on Cancer 7th TNM staging system.
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Purpose@#Platelet-related indices, including mean platelet volume (MPV) and plateletocrit (PCT), have been reported as new prognostic factors of overall survival (OS) in many cancers, but not yet in biliary tract cancer (BTC). We intended to assess these indices in predicting OS in BTC patients with the aim to build a new prognostic model for patients with BTC after surgical resection. @*Materials and Methods@#Survival analysis and time receiver operating characteristic analysis were applied to screen the platelet indices. Univariate and multivariate Cox analyses were used to identify independent prognostic factors and develop a new prognostic model. Harrell’s C-statistics, calibration curves, and decisive curve analysis were used to assess the model. @*Results@#MPV and platelet distribution width (PDW)/PCT showed the best prognostic accuracy among the platelet indices. In multivariable analysis, factors predictive of poor OS were presence of nodal involvement, Non-radical surgery, poor tumor differentiation, carbohydrate antigen 19-9 > 100 U/mL, MPV > 8.1 fl, and PDW/PCT > 190. The new model was found to be superior to the TNM staging system and our new staging system showed higher discriminative power. @*Conclusion@#MPV and PDW/PCT have high prognostic value in BTC patients, and the novel staging system based on these two indices showed good discrimination and accuracy compared with the American Joint Committee on Cancer 7th TNM staging system.
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Purpose@#The systemic inflammation response index (SIRI) has been reported to have prognostic ability in various solid tumors but has not been studied in gallbladder cancer (GBC). We aimed to determine its prognostic value in GBC. @*Materials and Methods@#From 2003 to 2017, patients with confirmed GBC were recruited. To determine the SIRI’s optimal cutoff value, a time-dependent receiver operating characteristic curve was applied. Univariate and multivariate Cox analyses were performed for the recognition of significant factors. Then the cohort was randomly divided into the training and the validation set. A nomogram was constructed using the SIRI and other selected indicators in the training set, and compared with the TNM staging system. C-index, calibration plots, and decision curve analysis were performed to assess the nomogram’s clinical utility. @*Results@#One hundred twenty-four patients were included. The SIRI’s optimal cutoff value divided patients into high (≥ 0.89) and low SIRI (< 0.89) groups. Kaplan-Meier curves according to SIRI levels were significantly different (p < 0.001). The high SIRI group tended to stay longer in hospital and lost more blood during surgery. SIRI, body mass index, weight loss, carbohydrate antigen 19-9, radical surgery, and TNM stage were combined to generate a nomogram (C-index, 0.821 in the training cohort, 0.828 in the validation cohort) that was significantly superior to the TNM staging system both in the training (C-index, 0.655) and validation cohort (C-index, 0.649). @*Conclusion@#The SIRI is an independent predictor of prognosis in GBC. A nomogram based on the SIRI may help physicians to precisely stratify patients and implement individualized treatment.