A systematic literature review was done to determine the relationship between elevated CRP and prognosis in people with solid tumors. C-reactive protein (CRP) is a serum acute phase reactant and a ...well-established inflammatory marker. We also examined the role of CRP to predict treatment response and tumor recurrence.
MeSH (Medical Subject Heading) terms were used to search multiple electronic databases (PubMed, EMBASE, Web of Science, SCOPUS, EBM-Cochrane). Two independent reviewers selected research papers. We also included a quality Assessment (QA) score. Reports with QA scores <50% were excluded. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology was utilized for this review (S1 PRISMA Checklist).
271 articles were identified for final review. There were 45% prospective studies and 52% retrospective. 264 had intermediate QA score (≥50% but <80%); Seven were adequate (80% -100%); A high CRP was predictive of prognosis in 90% (245/271) of studies-80% of the 245 studies by multivariate analysis, 20% by univariate analysis. Many (52%) of the articles were about gastrointestinal malignancies (GI) or kidney malignancies. A high CRP was prognostic in 90% (127 of 141) of the reports in those groups of tumors. CRP was also prognostic in most reports in other solid tumors primary sites.
A high CRP was associated with higher mortality in 90% of reports in people with solid tumors primary sites. This was particularly notable in GI malignancies and kidney malignancies. In other solid tumors (lung, pancreas, hepatocellular cancer, and bladder) an elevated CRP also predicted prognosis. In addition there is also evidence to support the use of CRP to help decide treatment response and identify tumor recurrence. Better designed large scale studies should be conducted to examine these issues more comprehensively.
Summary To develop a framework for the definition and classification of cancer cachexia a panel of experts participated in a formal consensus process, including focus groups and two Delphi rounds. ...Cancer cachexia was defined as a multifactorial syndrome defined by an ongoing loss of skeletal muscle mass (with or without loss of fat mass) that cannot be fully reversed by conventional nutritional support and leads to progressive functional impairment. Its pathophysiology is characterised by a negative protein and energy balance driven by a variable combination of reduced food intake and abnormal metabolism. The agreed diagnostic criterion for cachexia was weight loss greater than 5%, or weight loss greater than 2% in individuals already showing depletion according to current bodyweight and height (body-mass index BMI <20 kg/m2 ) or skeletal muscle mass (sarcopenia). An agreement was made that the cachexia syndrome can develop progressively through various stages—precachexia to cachexia to refractory cachexia. Severity can be classified according to degree of depletion of energy stores and body protein (BMI) in combination with degree of ongoing weight loss. Assessment for classification and clinical management should include the following domains: anorexia or reduced food intake, catabolic drive, muscle mass and strength, functional and psychosocial impairment. Consensus exists on a framework for the definition and classification of cancer cachexia. After validation, this should aid clinical trial design, development of practice guidelines, and, eventually, routine clinical management.
Background and aims
Cancer cachexia, a complex wasting syndrome, is common in palliative medicine. Animal models expand our understanding of its mechanisms. A review of cancer cachexia and anorexia ...animal models will help investigators make an informed choice of the study model.
Results and discussion
Cancer-anorexia cachexia animal models are numerous. No one is ideal. The choice should depend on the research question. To investigate cancer–anorexia cachexia independent of pro-inflammatory cytokine effects, the MAC16 ADK and XK1 are useful. MAC16 ADK helps study the host’s tumor metabolic effects, independent of any anorexia or inflammation. XK1 is both anorectic and cachectic, but data about it is limited. All other models induce a host inflammatory response. The Walker 256 ADK and MCG 101 are best avoided due to excessive tumor growth. Since individual models do not address all aspects of the syndrome, use of a combination seems wise. Suggested combinations: MAC16-ADK (non-inflammatory and non-anorectic) with YAH-130 (inflammatory, anorectic, and cachectic), Lewis lung carcinoma (slow onset anorexia) or prostate adenocarcinoma (inflammatory, anorectic but not cachectic) with YAH-130.
Purpose
Various instruments are used to assess both individual and multiple cancer symptoms. We evaluated the psychometric properties of cancer multisymptom assessment instruments.
Methods
An Ovid ...MEDLINE search was done. All searches were limited to adults and in English. All instruments published from 2005 to 2014 (and with at least one validity test) were included. We excluded those who only reported content validity. Instruments were categorized by the three major types of symptom measurement scales employed as follows: visual analogue (VAS), verbal rating (VRS), and numerical rating (NRS) scales. They were then examined in two areas: (1) psychometric thoroughness (number of tests) and (2) psychometric strength of evidence (validity, reliability, generalizability). We also assigned an empirical global psychometric quality score (which combined the concepts of thoroughness and strength of evidence) to rank the instruments.
Results
We analyzed 57 instruments (17 original, 40 modifications). They varied in types of scales used, symptom dimensions measured, and time frames evaluated. Of the 57, 10 used VAS, 28 VRS, and 19 NRS. The Edmonton Symptom Assessment System (ESAS), ESAS-Spanish, Hospital Anxiety and Depression Scale (HADS), Profile of Mood States (POMS), Symptom Distress Scale (SDS), M.D. Anderson Symptom Inventory (MDASI)-Russian, and MDASI-Taiwanese were the most comprehensively tested for validity and reliability. The ESAS, ESAS-Spanish, ASDS-2, Memorial Symptom Assessment Scale (MSAS)-SF, POMS, SDS, MDASI (and some translations), and MDASI-Heart Failure all showed good validity and reliability.
Conclusions
The MDASI appeared to be the best overall from a psychometric perspective. This was followed by the ESAS, ESAS-Spanish, POMS, SDS, and some MDASI translations. VRS-based instruments were most common. There was a wide range of psychometric rigor in validation. Consequently, meta-analysis was not possible. Most cancer multisymptom assessment instruments need further extensive validation to establish the excellent reliability and validity required for clinical utility and meaningful research.
Clinical experience suggests that many symptoms occur together. In this paper, we examine the rationale and evidence base for symptom clusters in different medical fields, particularly the cluster ...phenomenon in cancer. Cancer symptom clusters are a reality. Various symptoms that cluster clinically have also been verified statistically. Specific clusters such as nausea—vomiting, anxiety—depression, and cough—dyspnea are evident on both clinical observation and in research investigation. Fatigue—pain and fatigue—insomnia—pain have also been demonstrated statistically as clusters. Another proposed cluster ‘depression—fatigue—pain’ seems relevant to clinical practice. Other clusters may serve only as theoretical models that illustrate possible common biological etiologies in cancer; they need to be validated in future research. Analysis of the literature is complicated by considerable inconsistencies across studies. Discrepancies between clinically defined and statistically obtained clusters raise important questions. We must consider the analytical techniques used, and how methodology might influence cluster occurrence and composition. Further research is warranted to establish universally accepted statistical methods and assessment tools for symptom cluster research.
In this paper, we first examined whether seven symptom clusters (SC) identified in a prior analysis were prognostic for survival in advanced cancer. Secondly, we investigated whether the number of ...these SC present was related to prognosis.
Abstract Context Statistical methods to identify symptom clusters (SC) have varied between studies. The optimal statistical method to identify SC is unknown. Objectives Our primary objective was to ...explore whether eight different statistical techniques applied to a single data set produced different SC. A secondary objective was to investigate whether SC identified by these techniques resembled those from our original study. Methods We reanalyzed a symptom data set of 1000 patients with advanced cancer. Eight separate cluster analyses were conducted on both prevalence and severity of 38 symptoms. Hierarchical cluster analysis identified clusters at r -values of 0.6, 0.5, and 0.4. For prevalence and severity, the Spearman correlation and Kendall tau-b correlation, respectively, measured the similarity (distance) between symptom pairs. Sensitivity analysis of the prevalence data was done with Cohen kappa coefficient as a similarity measure. The K -means clustering method validated clusters. Results Hierarchical cluster analysis identified similar cluster configurations from the 38 symptoms using an r -value of 0.6, 0.5, or 0.4. A cutoff point of 0.6 yielded seven clusters. Five of them were identical at all three r -values used: 1) fatigue/anorexia-cachexia: anorexia, dry mouth, early satiety, fatigue, lack of energy, taste changes, weakness, and weight loss (>10%); 2) gastrointestinal: belching, bloating, dyspepsia, and hiccough; 3) nausea/vomiting: nausea and vomiting; 4) aerodigestive: cough, dysphagia, dyspnea, hoarseness, and wheeze; 5) neurologic: confusion, hallucinations, and memory problems. Regardless of the threshold, there were always some symptoms (e.g., pain) that did not cluster with any others. Seven clusters were validated by K -means analysis. Conclusion Seven SC identified from both prevalence and severity data were consistently present irrespective of the statistical analysis used. There were only minor variations in the number of clusters and their symptom composition between analytical techniques. All seven clusters originally identified were confirmed. Four consistent SC were found in all analyses: aerodigestive, fatigue/anorexia-cachexia, nausea/vomiting, and upper GI. Our results support the clinical importance of the SC concept.
Introduction
Weight loss in cancer patients is a worrisome constitutional change predicting disease progression and shortened survival time. A logical approach to counter some of the weight loss is ...to provide nutritional support, administered through enteral nutrition (EN) or parenteral nutrition (PN). The aim of this paper was to update the original systematic review and meta-analysis previously published by Chow et al., while also assessing publication quality and effect of randomized controlled trials (RCTs) on the meta-conclusion over time.
Methods
A literature search was carried out; screening was conducted for RCTs published in January 2015 up until December 2018. The primary endpoints were the percentage of patients achieving no infection and no nutrition support complications. Secondary endpoints included proportion of patients achieving no major complications and no mortality. Review Manager (RevMan 5.3) by Cochrane IMS and Comprehensive Meta-Analysis (version 3) by Biostat were used for meta-analyses of endpoints and assessment of publication quality.
Results
An additional seven studies were identified since our prior publication, leading to 43 papers included in our review. The results echo those previously published; EN and PN are equivalent in all endpoints except for infection. Subgroup analyses of studies only containing adults indicate identical risks across all endpoints. Cumulative meta-analysis suggests that meta-conclusions have remained the same since the beginning of publication time for all endpoints except for the endpoint of infection, which changed from not favoring to favoring EN after studies published in 1997. There was low risk of bias, as determined by assessment tool and visual inspection of funnel plots.
Conclusions
The results support the current European Society of Clinical Nutrition and Metabolism guidelines recommending enteral over parenteral nutrition, when oral nutrition is inadequate, in adult patients. Further studies comparing EN and PN for these critical endpoints appear unnecessary, given the lack of change in meta-conclusion and low publication bias over the past decades.
Abstract Pain is one of the most common symptoms in cancer patients. Opioids are widely prescribed for this and other purposes. Properly used, they are safe, but they have serious and potentially ...lethal side effects. Successful use of opioids to manage cancer pain requires adequate knowledge about opioid pharmacology and equianalgesia for the purpose of both drug rotation and route conversion. The aim of this study was to demonstrate variations in equianalgesic ratios, as quoted in equianalgesic tables and various educational materials widely available to practicing physicians. We surveyed commercially available educational materials in package inserts, teaching materials provided by pharmaceutical companies, and the Physicians' Desk Reference for equianalgesic tables of commonly used opioids. We found inconsistent and variable equianalgesic ratios recommended for both opioid rotation and conversion. Multiple factors like inter- and intraindividual differences in opioid pharmacology may influence the accuracy of dose calculations, as does the heterogeneity of study design used to derive equianalgesic ratios. Equianalgesic tables should only serve as a general guideline to estimate equivalent opioid doses. Clinical judgment should be used and individual patient characteristics considered when applying any table. Professional organizations and regulators should establish a rotation and conversion consensus concerning opioid equianalgesic ratios. Systematic research on equianalgesic opioid dose calculation is recommended to avoid adverse public health consequences of incorrect or inappropriate dosing. Current information in equianalgesic tables is confusing for physicians, and dangerous to the public.
PDF
