Reirradiation and/or surgery for locoregionally recurrent rectal cancer: A systemic review and meta-analyses.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15159-e15159
Author(s):  
Chai Hong Rim ◽  
Jeongshim Lee
Keyword(s):  
Rectal Cancer ◽  
Clinical Decision Making ◽  
Late Complication ◽  
Clinical Decision ◽  
Late Complications ◽  
Local Control Rate ◽  
Systemic Review ◽  
Cochrane Library ◽  
The Difference ◽  
Grade 3

e15159 Background: Locoregional recurrence of rectal cancer (LRRC) might be occurred even after combination treatments including surgery and pelvic radiotherapy. Re-irradiation might provide the control of recurrence and/or symptomatic palliation, but possible complications are fearful hindrances. This study is to integrate information from various clinical studies, regarding re-irradiation and/or surgery of LRRC, and to provide practical information for clinical decision making. Methods: We searched four databases including pubmed, MEDLINE, Cochrane library, and Embase. The primary endpoint was overall survival (OS), and secondary endpoints were complications of grade ≥3, local control rate (LC), and symptomatic palliation rate. Results: A total of 17 studies, involving 18 cohorts and 744 patients with LRRC were included. Median OS among included studies ranged from 10 to 45 months (median: 24.5 months). Pooled 1-, 2-, and 3- year OS rates for all LRRC patients were 76.1% [95% confidence interval (CI): 61.7-86.3], 49.1% (38.5-59.7), and 38.3% (30.2-47.2), respectively. For patients who underwent re-irradiation and surgery (OP group), pooled 1-, 2-, and 3- year OS rates were 85.9% (95% CI: 74.0-92.9), 71.8% (54.6-84.4), and 51.7% (39.4-63.8). For patients who underwent re-irradiation but not surgery (non-OP group), pooled 1-, 2-, and 3-year OS rates were 63.5% (95% CI: 51.1-74.4), 34.2% (20.4-51.2), and 23.8% (15.4-34.8). The difference between two subgroups were significant for all 3 years analyses. Pooled 1-, 2-, and 3- year LC rates for OP group were 84.4% (95% CI: 75.5-90.4), 63.8% (55.2-71.5), and 46.9% (39.6-54.4), and for non-OP group were 72.0% (95% CI: 48.8-87.4), 54.8% (28.6-78.5), and 44.6% (16.6-76.5). The difference between subgroups were not statistically significant for all 3 years analyses. Pooled overall grade ≥3 acute complication rate was 11.7% (95% CI: 6.7-19.5), and for late complication was 25.5% (95% CI: 16.7-40.0). Patients who underwent surgery had a higher risk of grade ≥3 late complications (OR: 6.39, 95% CI: 3.2-12.7). Pooled symptomatic palliation rate was 75.2% (95% CI: 67.3-81.8). Conclusions: Re-irradiation and/or surgery might be an option with oncologic and palliative efficacies, where combined surgery provided more favorable survival outcome. However, late complication should be carefully considered especially when combined with surgery.

Ability of multiparametric magnetic resonance imaging (MRI) to predict prostate tumor heterogeneity on targeted biopsy.

2018 ◽  
Vol 36 (6_suppl) ◽  
pp. 113-113 ◽  
Author(s):  
Samuel Gold ◽  
Jonathan Bloom ◽  
Graham R. Hale ◽  
Kareem Rayn ◽  
Sherif Mehralivand ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Clinical Decision ◽  
Lesion Size ◽  
Future Research ◽  
Imaging Features ◽  
Targeted Biopsy ◽  
Impact Risk ◽  
The Difference ◽  
Magnetic Resonance Imaging Mri ◽  
Grade 3

113 Background: Prostate cancer (PCa) can show heterogeneous histology within lesions. MRI-targeted biopsy (Tbx) of the prostate improves PCa detection, but sampling within lesions has yet to be standardized. Furthermore, Tbx results are often heterogeneous as evidenced by differing histologic grades of Tbx cores within the same lesion. This introduces potential variability in biopsy results, on which clinical decisions are made. Here we aim to characterize lesion heterogeneity and identify predictive multiparametric MRI (mpMRI) features. Methods: A cohort of men who underwent mpMRI and Tbx between 2014-2017 were selected for analysis from a prospectively maintained database. To characterize lesion heterogeneity, only men with ≥2 positive Tbx cores were included. Histologic grades were scored according to International Society of Urological Pathology (ISUP) grades. Lesion heterogeneity, reported as a heterogeneity index (HI), was calculated as the difference of the average ISUP grades of Tbx cores per lesion from the maximum sampled ISUP grade of that lesion. Statistical analyses identified associations between imaging features and lesion heterogeneity. Results: 157 lesions in 114 patients met inclusion criteria. Maximum ISUP grade ranged from 1 to 5, with a median ISUP grade of 2. Higher ISUP grades were associated with greater lesion heterogeneity, HI for ISUP grade ≥3 = 0.58±0.11 vs <3 = 0.29±0.08, p = 0.0001. In addition, increasing lesion size on mpMRI was associated with greater lesion heterogeneity, HI for ≥2cm = 0.52±0.14 vs <2cm = 0.32±0.08, p = 0.0096. Finally, higher mpMRI suspicion scores were associated with increased heterogeneity vs lower suspicion scores, p = 0.048. Conclusions: mpMRI aids in characterizing PCa lesion heterogeneity to predict variability of histologic grades on Tbx. This information can assist Tbx planning to potentially reduce risks of upgrading on final pathology. Future research will examine how lesion heterogeneity can impact risk stratification and clinical decision-making for patients and practitioners. This research was supported by the Intramural Research Program of the National Cancer Institute, NIH and NIH Medical Research Scholars Program.

scholarly journals Structured Reporting of Rectal Cancer Staging and Restaging: A Consensus Proposal

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2135
Author(s):  
Vincenza Granata ◽  
Damiano Caruso ◽  
Roberto Grassi ◽  
Salvatore Cappabianca ◽  
Alfonso Reginelli ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Correlation Coefficient ◽  
Clinical Decision Making ◽  
Intraclass Correlation ◽  
Clinical Decision ◽  
Cancer Staging ◽  
Structured Reporting ◽  
Quality Analysis ◽  
Promising Tool ◽  
Structured Reports

Background: Structured reporting (SR) in oncologic imaging is becoming necessary and has recently been recognized by major scientific societies. The aim of this study was to build MRI-based structured reports for rectal cancer (RC) staging and restaging in order to provide clinicians all critical tumor information. Materials and Methods: A panel of radiologist experts in abdominal imaging, called the members of the Italian Society of Medical and Interventional Radiology, was established. The modified Delphi process was used to build the SR and to assess the level of agreement in all sections. The Cronbach’s alpha (Cα) correlation coefficient was used to assess the internal consistency of each section and to measure the quality analysis according to the average inter-item correlation. The intraclass correlation coefficient (ICC) was also evaluated. Results: After the second Delphi round of the SR RC staging, the panelists’ single scores and sum of scores were 3.8 (range 2–4) and 169, and the SR RC restaging panelists’ single scores and sum of scores were 3.7 (range 2–4) and 148, respectively. The Cα correlation coefficient was 0.79 for SR staging and 0.81 for SR restaging. The ICCs for the SR RC staging and restaging were 0.78 (p < 0.01) and 0.82 (p < 0.01), respectively. The final SR version was built and included 53 items for RC staging and 50 items for RC restaging. Conclusions: The final version of the structured reports of MRI-based RC staging and restaging should be a helpful and promising tool for clinicians in managing cancer patients properly. Structured reports collect all Patient Clinical Data, Clinical Evaluations and relevant key findings of Rectal Cancer, both in staging and restaging, and can facilitate clinical decision-making.

scholarly journals Cancer Grade Model: a multi-gene machine learning-based risk classification for improving prognosis in breast cancer

2021 ◽  
Author(s):  
E. Amiri Souri ◽  
A. Chenoweth ◽  
A. Cheung ◽  
S. N. Karagiannis ◽  
S. Tsoka
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Clinical Decision Making ◽  
Histological Grade ◽  
Tumour Size ◽  
Clinical Decision ◽  
Gene Signature ◽  
Risk Classification ◽  
Breast Cancers ◽  
Grade 3

Abstract Background Prognostic stratification of breast cancers remains a challenge to improve clinical decision making. We employ machine learning on breast cancer transcriptomics from multiple studies to link the expression of specific genes to histological grade and classify tumours into a more or less aggressive prognostic type. Materials and methods Microarray data of 5031 untreated breast tumours spanning 33 published datasets and corresponding clinical data were integrated. A machine learning model based on gradient boosted trees was trained on histological grade-1 and grade-3 samples. The resulting predictive model (Cancer Grade Model, CGM) was applied on samples of grade-2 and unknown-grade (3029) for prognostic risk classification. Results A 70-gene signature for assessing clinical risk was identified and was shown to be 90% accurate when tested on known histological-grade samples. The predictive framework was validated through survival analysis and showed robust prognostic performance. CGM was cross-referenced with existing genomic tests and demonstrated the competitive predictive power of tumour risk. Conclusions CGM is able to classify tumours into better-defined prognostic categories without employing information on tumour size, stage, or subgroups. The model offers means to improve prognosis and support the clinical decision and precision treatments, thereby potentially contributing to preventing underdiagnosis of high-risk tumours and minimising over-treatment of low-risk disease.

4971Blood viscosity and its relevance to the diagnosis and management of pulmonary hypertension: a new elephant in the cathlab

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Kempny ◽  
K Dimopoulos ◽  
A E Fraisse ◽  
G P Diller ◽  
L C Price ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Cardiac Catheterization ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Pulmonary Vasculature ◽  
Pulmonary Vascular Disease ◽  
Significant Difference ◽  
The Difference ◽  
Clinically Significant ◽  
The Relationship

Abstract Background Pulmonary vascular resistance (PVR) is an essential parameter assessed during cardiac catheterization. It is used to confirm pulmonary vascular disease, to assess response to targeted pulmonary hypertension (PH) therapy and to determine the possibility of surgery, such as closure of intra-cardiac shunt or transplantation. While PVR is believed to mainly reflect the properties of the pulmonary vasculature, it is also related to blood viscosity (BV). Objectives We aimed to assess the relationship between measured (mPVR) and viscosity-corrected PVR (cPVR) and its impact on clinical decision-making. Methods We assessed consecutive PH patients undergoing cardiac catheterization. BV was assessed using the Hutton method. Results We included 465 patients (56.6% female, median age 63y). The difference between mPVR and cPVR was highest in patients with abnormal Hb levels (anemic patients: 5.6 [3.4–8.0] vs 7.8Wood Units (WU) [5.1–11.9], P<0.001; patients with raised Hb: 10.8 [6.9–15.4] vs. 7.6WU [4.6–10.8], P<0.001, respectively). Overall, 33.3% patients had a clinically significant (>2.0WU) difference between mPVR and cPVR, and this was more pronounced in those with anemia (52.9%) or raised Hb (77.6%). In patients in the upper quartile for this difference, mPVR and cPVR differed by 4.0WU [3.4–5.2]. Adjustment of PVR required Conclusions We report, herewith, a clinically significant difference between mPVR and cPVR in a third of contemporary patients assessed for PH. This difference is most pronounced in patients with anemia, in whom mPVR significantly underestimates PVR, whereas in most patients with raised Hb, mPVR overestimates it. Our data suggest that routine adjustment for BV is necessary.

Abstract P111: Comparative Efficacy Of Bisoprolol Compared To Other Selective Beta-1 Blockers In Patients With Hypertension - A Systematic Review And Meta-analysis Of Observational Studies

Hypertension ◽  
2021 ◽  
Vol 78 (Suppl_1) ◽  
Author(s):  
Uday M Jadhav ◽  
Tiny Nair ◽  
SANDEEP BANSAL ◽  
Saumitra Ray
Keyword(s):  
Lipid Profile ◽  
Observational Studies ◽  
Clinical Decision Making ◽  
Meta Analysis ◽  
Hdl Cholesterol ◽  
Clinical Decision ◽  
Cochrane Library ◽  
Favourable Effect ◽  
Pooled Data ◽  
Cholesterol Levels

Introduction: Selective beta-1 blockers (s-BBs) are used in the management of hypertension (HT) in specific subsets. Studies comparing the potency of blood pressure (BP) lowering with different s-BBs are sparse. The objective of this meta-analysis was to evaluate the efficacy of bisoprolol compared to other s-BBs (Atenolol, Betaxolol, Esmolol, Acebutolol, Metoprolol, Nebivolol) in HT patients by examining their effect on BP, heart rate (HR) and metabolic derangements, by examining the evidences reported in observational studies. Methods: Electronic databases like PubMed, EMBASE, Cochrane Library, Clinicaltrials.gov, Surveillance, Epidemiology and End Results Program and 12 PV databases were systematically searched from inception to October 2019. Observational studies that compared bisoprolol with other s-BBs in patients with HT were evaluated in accordance with the PRISMA guidelines. Pooled data were calculated using random-effects model for meta-analysis in terms of mean difference (MD) and 95% confidence interval (95% CI) for each outcome. Outcomes of interest were BP, HR and lipid profile. Results: Four observational studies which compared bisoprolol with other s-BBs (nebivolol and atenolol) were included in this meta-analysis. Significant reduction was observed in office diastolic BP [MD: -1.70; 95% CI: -2.68,-0.72; P <0.01] among arterial HT patients treated with bisoprolol for 26 weeks (w) compared to those treated with other s-BBs. HT patients treated with bisoprolol for 26 w showed significant reduction in HR [MD: -2.20; 95% CI: -3.57,-0.65; P <0.01] and office HR [MD: -2.55; 95% CI: -3.57,-1.53; P <0.01] than other s-BBs. HDL cholesterol levels increased significantly in essential HT patients treated with bisoprolol at 26 w [MD: 7.17; 95% CI: 1.90,12.45; P <0.01], 78 w [MD: 11.70; 95% CI: 4.49,18.91; P <0.01] and 104 w [MD: 10.20, 95% CI: 4.49,18.91; P <0.01] compared to other s-BBs. Conclusion: Our results suggests that bisoprolol is superior to other s-BBs in reducing BP and HR. Bisoprolol also had a favourable effect on lipid profile shown by increase in HDL cholesterol. This meta-analysis emphasizes the efficacy of bisoprolol over other s-BBs, which aids clinical decision making in treatment of patients with HT.

scholarly journals The Role of Micro-RNAs and Circulating Tumor Markers as Predictors of Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer

2020 ◽  
Vol 21 (19) ◽  
pp. 7040 ◽  
Author(s):  
Fatima Domenica Elisa De Palma ◽  
Gaetano Luglio ◽  
Francesca Paola Tropeano ◽  
Gianluca Pagano ◽  
Maria D’Armiento ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Clinical Decision Making ◽  
Locally Advanced ◽  
Therapy Response ◽  
Predictive Biomarkers ◽  
Advanced Rectal Cancer ◽  
Clinical Decision ◽  
Locally Advanced Rectal Cancer ◽  
Specific Expression ◽  
Micro Rnas

The response to neoadjuvant chemoradiation (nCRT) is a critical step in the management of locally advanced rectal cancer (LARC) patients. Only a minority of LARC patients responds completely to neoadjuvant treatments, thus avoiding invasive radical surgical resection. Moreover, toxic side effects can adversely affect patients’ survival. The difficulty in separating in advances responder from non-responder patients affected by LARC highlights the need for valid biomarkers that guide clinical decision-making. In this context, microRNAs (miRNAs) seem to be promising candidates for predicting LARC prognosis and/or therapy response, particularly due to their stability, facile detection, and disease-specific expression in human tissues, blood, serum, or urine. Although a considerable number of studies involving potential miRNA predictors to nCRT have been conducted over the years, to date, the identification of the perfect miRNA signatures or single miRNA, as well as their use in the clinical practice, is still representing a challenge for the management of LARC patients. In this review, we will first introduce LARC and its difficult management. Then, we will trace the scientific history and the key obstacles for the identification of specific miRNAs that predict responsiveness to nCRT. There is a high potential to identify non-invasive biomarkers that circulate in the human bloodstream and that might indicate the LARC patients who benefit from the watch-and-wait approach. For this, we will critically evaluate recent advances dealing with cell-free nucleic acids including miRNAs and circulating tumor cells as prognostic or predictive biomarkers.

Predictive Analytics to Support Clinical Decision Making

2020 ◽  
pp. 271-281
Author(s):  
Nilmini Wickramasinghe
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Predictive Analytics ◽  
Complete Information ◽  
Clinical Decision ◽  
Decision Making Process ◽  
The Difference

A key activity in healthcare is clinical decision making. This decision making typically has to be made rapidly and often without complete information. Moreover, the consequences of these decisions could be far reaching including the difference between life or death. Today analytics can assist in clinical decision making as the following chapter highlights. However, to gain the most from any type of analytics, it is first necessary to fully understand the dynamics around the clinical decision making process.

scholarly journals Variations between two 24-hour urine collections in patients

2013 ◽  
Vol 6 (1) ◽  
pp. 30 ◽  
Author(s):  
Madhur Nayan ◽  
Mohamed A. Elkoushy ◽  
Sero Andonian
Keyword(s):  
Clinical Decision Making ◽  
Clinical Decision ◽  
Metabolic Evaluation ◽  
Normal Limits ◽  
A Value ◽  
Two Samples ◽  
History Of ◽  
The Absolute ◽  
The Difference ◽  
Urinary Parameters

Introduction: The current Canadian Urological Association (CUA)guideline recommends two 24-hour urine collections in the metabolic evaluation for patients with urolithiasis. The aim of the present study was to compare two consecutive 24-hour urine collections in patients with a history of urolithiasis presenting to a tertiary stone clinic.Methods: We retrospectively reviewed 188 patients who had two24-hour collections upon presentation between January 2010 and December 2010. Samples were collected on consecutive days and examined for the following 11 urinary parameters: volume, creatinine, sodium, calcium, uric acid, citrate, oxalate, potassium, phosphorous, magnesium and urea nitrogen. For each parameter, the absolute value of the difference between the two samples rather than the direct difference was compared with zero. Similarly, the percent difference between samples was calculated for each parameter.Results: The means of the absolute differences between the twosamples were significantly different for all 11 urinary parameters(p < 0.0001). The percent differences for all urinary parametersranged from 20.5% to 34.2%. Furthermore, 17.1% to 47.6% ofpatients had a change from a value within normal limits to anabnormal value, or vice-versa. Significance was maintained when patients with incomplete or over-collections were excluded.Conclusions: Significant variations among the two 24-hour urinecollections were observed in all of the 11 urinary parameters analyzed. This variation may change clinical decision-making in up to 47.6% of patients if only a single 24-hour urine collection is obtained. The present study supports the CUA guideline of performing two 24-hour urine collections.

scholarly journals Learning the Preferences of Physicians for the Organization of Result Lists of Medical Evidence Articles

2014 ◽  
Vol 53 (05) ◽  
pp. 344-356 ◽  
Author(s):  
S. Wilk ◽  
W. Michalowski ◽  
R. Slowinski ◽  
R. Thomas ◽  
M. Kadzinski ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Medical Knowledge ◽  
Clinical Decision ◽  
Cochrane Library ◽  
Value Functions ◽  
List Position ◽  
Relevant Article ◽  
Information Retrieval Systems ◽  
The Cochrane Library

SummaryBackground: Online medical knowledge repositories such as MEDLINE and The Cochrane Library are increasingly used by physicians to retrieve articles to aid with clinical decision making. The prevailing approach for organizing retrieved articles is in the form of a rank-ordered list, with the assumption that the higher an article is presented on a list, the more relevant it is.Objectives: Despite this common list-based organization, it is seldom studied how physicians perceive the association between the relevance of articles and the order in which articles are presented. In this paper we describe a case study that captured physician preferences for 3-element lists of medical articles in order to learn how to organize medical knowledge for decision-making.Methods: Comprehensive relevance evaluations were developed to represent 3-element lists of hypothetical articles that may be retrieved from an online medical knowledge source such as MEDLINE or The Cochrane Library. Comprehensive relevance evalua tions asses not only an article’s relevance for a query, but also whether it has been placed on the correct list position. In other words an article may be relevant and correctly placed on a result list (e.g. the most relevant article appears first in the result list), an article may be relevant for a query but placed on an incorrect list position (e.g. the most relevant article appears second in a result list), or an article may be irrelevant for a query yet still appear in the result list. The relevance evaluations were presented to six senior physi cians who were asked to express their preferences for an article’s relevance and its position on a list by pairwise comparisons representing different combinations of 3-element lists. The elicited preferences were assessed using a novel GRIP (Generalized Regression with Intensities of Preference) method and represented as an additive value function. Value functions were derived for individual physicians as well as the group of physicians.Results: The results show that physicians assign significant value to the 1st position on a list and they expect that the most relevant article is presented first. Whilst physicians still prefer obtaining a correctly placed article on position 2, they are also quite satisfied with misplaced relevant article. Low consideration of the 3rd position was uniformly confirmed.Conclusions: Our findings confirm the importance of placing the most relevant article on the 1st position on a list and the importance paid to position on a list significantly diminishes after the 2nd position. The derived value functions may be used by developers of clinical decision support applications to decide how best to organize medical knowledge for decision making and to create personalized evaluation measures that can augment typical measures used to evaluate information retrieval systems.

Extracts from The Cochrane Library: Antibiotics for acute maxillary sinusitis

2008 ◽  
Vol 139 (4) ◽  
pp. 486-489 ◽  
Author(s):  
Martin J. Burton ◽  
Ronald B. Kuppersmith ◽  
Richard M. Rosenfeld
Keyword(s):  
Primary Care ◽  
Care Setting ◽  
Clinical Decision Making ◽  
Primary Care Setting ◽  
Maxillary Sinusitis ◽  
Cochrane Review ◽  
Clinical Decision ◽  
Neck Surgery ◽  
Cochrane Library ◽  
The Cochrane Library

The “Cochrane Corner” is a quarterly section in the Journal that highlights systematic reviews relevant to otolaryngology–head and neck surgery, with invited commentary to highlight implications for clinical decision making. This installment features a Cochrane Review entitled “Antibiotics for acute maxillary sinusitis,” which concludes a small treatment effect in patients with uncomplicated acute sinusitis in a primary care setting with symptoms for more than seven days.

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