scholarly journals Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study

2016 ◽  
Vol 23 (5) ◽  
pp. 879-890 ◽  
Author(s):  
Yaron Kinar ◽  
Nir Kalkstein ◽  
Pinchas Akiva ◽  
Bernard Levin ◽  
Elizabeth E Half ◽  
...  

Abstract Objective The use of risk prediction models grows as electronic medical records become widely available. Here, we develop and validate a model to identify individuals at increased risk for colorectal cancer (CRC) by analyzing blood counts, age, and sex, then determine the model’s value when used to supplement conventional screening. Materials and Methods Primary care data were collected from a cohort of 606 403 Israelis (of whom 3135 were diagnosed with CRC) and a case control UK dataset of 5061 CRC cases and 25 613 controls. The model was developed on 80% of the Israeli dataset and validated using the remaining Israeli and UK datasets. Performance was evaluated according to the area under the curve, specificity, and odds ratio at several working points. Results Using blood counts obtained 3–6 months before diagnosis, the area under the curve for detecting CRC was 0.82 ± 0.01 for the Israeli validation set. The specificity was 88 ± 2% in the Israeli validation set and 94 ± 1% in the UK dataset. Detecting 50% of CRC cases, the odds ratio was 26 ± 5 and 40 ± 6, respectively, for a false-positive rate of 0.5%. Specificity for 50% detection was 87 ± 2% a year before diagnosis and 85 ± 2% for localized cancers. When used in addition to the fecal occult blood test, our model enabled more than a 2-fold increase in CRC detection. Discussion Comparable results in 2 unrelated populations suggest that the model should generally apply to the detection of CRC in other groups. The model’s performance is superior to current iron deficiency anemia management guidelines, and may help physicians to identify individuals requiring additional clinical evaluation. Conclusions Our model may help to detect CRC earlier in clinical practice.

Blood ◽  
2020 ◽  
Author(s):  
Louisa Goumidi ◽  
Florian Thibord ◽  
Kerri L. Wiggins ◽  
Ruifang Li-Gao ◽  
Michael R Brown ◽  
...  

Genetic risk score (GRS) analysis is an increasingly popular approach to derive individual risk prediction models for complex diseases. In the context of venous thrombosis (VT), any GRS shall integrate information at the ABO blood group locus, the latter being one of the major susceptibility locus for this disease. However, there is yet no consensus about which single nucleotide polymorphisms (SNPs) must be investigated when one is interested in properly assessing the association of ABO locus with VT risk. Using comprehensive haplotype analyses of ABO blood group tagging SNPs in up to 5,425 cases and 8,445 controls from 6 studies, we demonstrated that using only rs8176719 (tagging O1) to correctly assess the impact of ABO locus on VT risk is suboptimal as 5% of rs8176719-delG carriers are not exposed at higher VT risk. Instead, we recommend to use 4 SNPs, rs2519093 (tagging A1), rs1053878 (A2), rs8176743 (B) and rs41302905 (O2) in any analysis aimed at assessing the impact of ABO locus on VT risk to avoid any risk misestimation. Compared to O1 haplotype that can be inferred from these 4 SNPs, the A2 haplotype is associated with a modest increase in VT risk (odds ratio ~1.2), A1 and B haplotypes are associated with a ~1.8 fold increased risk while O2 tend to be slightly protective (odds ratio ~0.80). In addition, our analyses clearly showed that while the A1 an B blood group are associated with increased vWF and FVIII plasma levels only the A1 blood group is associated wih ICAM plasma levels but in an opposite direction, leaving additional avenues to be explored in order to fully understand the whole spectrum of biological effect of ABO locus on cardiovascular traits.


2019 ◽  
Vol 36 (6) ◽  
pp. 730-735 ◽  
Author(s):  
Elena C Harty ◽  
Jennifer G McIntosh ◽  
Adrian Bickerstaffe ◽  
Nadira Hewabandu ◽  
Jon D Emery

Abstract Objective Australia and New Zealand have the highest incidence of colorectal cancer (CRC) globally. Our research team has developed a CRC risk prediction tool for use in primary care to increase targeted screening. This study, Colorectal cancer RISk Prediction tool – patient (‘CRISP-P’), aimed to determine the following to inform a future trial design: (i) the feasibility of self-reporting; (ii) the feasibility of recruitment methods; and (iii) the prevalence of CRC risk. Methods Participants aged between 40 and 75 years were recruited consecutively from three primary care waiting rooms. Participants input data into CRISP on a tablet without receiving clinical advice. Feasibility was evaluated using recruitment rate, timely completion, a self-reported ‘ease-of-use’, score and field notes. Prevalence of CRC risk was calculated using the CRISP model. Results Five hundred sixty-one (90%) patients agreed to use the tool and 424 (84%) rated the tool easy to use. Despite this, 41% of people were unable to complete the questions without assistance. Patients who were older, without tertiary education or with English as their second language were more likely to require assistance (P < 0.001). Thirty-nine percent of patients were low risk, 58% at slightly increased and 2.4% were at moderately increased risk of developing colorectal cancer in the next 5 years. Conclusions The tool was perceived as easy to use, although older, less educated people, and patients with English as their second language needed help. The data support the recruitment methods but not the use of a self-completed tool for an efficacy trial.


2015 ◽  
Vol 22 (4) ◽  
pp. 545-559 ◽  
Author(s):  
Rafael Ríos ◽  
Carmen Belén Lupiañez ◽  
Daniele Campa ◽  
Alessandro Martino ◽  
Joaquin Martínez-López ◽  
...  

Type 2 diabetes (T2D) has been suggested to be a risk factor for multiple myeloma (MM), but the relationship between the two traits is still not well understood. The aims of this study were to evaluate whether 58 genome-wide-association-studies (GWAS)-identified common variants for T2D influence the risk of developing MM and to determine whether predictive models built with these variants might help to predict the disease risk. We conducted a case–control study including 1420 MM patients and 1858 controls ascertained through the International Multiple Myeloma (IMMEnSE) consortium. Subjects carrying the KCNQ1rs2237892T allele or the CDKN2A-2Brs2383208G/G, IGF1rs35767T/T and MADDrs7944584T/T genotypes had a significantly increased risk of MM (odds ratio (OR)=1.32–2.13) whereas those carrying the KCNJ11rs5215C, KCNJ11rs5219T and THADArs7578597C alleles or the FTOrs8050136A/A and LTArs1041981C/C genotypes showed a significantly decreased risk of developing the disease (OR=0.76–0.85). Interestingly, a prediction model including those T2D-related variants associated with the risk of MM showed a significantly improved discriminatory ability to predict the disease when compared to a model without genetic information (area under the curve (AUC)=0.645 vs AUC=0.629; P=4.05×10−06). A gender-stratified analysis also revealed a significant gender effect modification for ADAM30rs2641348 and NOTCH2rs10923931 variants (Pinteraction=0.001 and 0.0004, respectively). Men carrying the ADAM30rs2641348C and NOTCH2rs10923931T alleles had a significantly decreased risk of MM whereas an opposite but not significant effect was observed in women (ORM=0.71 and ORM=0.66 vs ORW=1.22 and ORW=1.15, respectively). These results suggest that TD2-related variants may influence the risk of developing MM and their genotyping might help to improve MM risk prediction models.


2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Pokpong Piriyakhuntorn ◽  
Adisak Tantiworawit ◽  
Thanawat Rattanathammethee ◽  
Chatree Chai-Adisaksopha ◽  
Ekarat Rattarittamrong ◽  
...  

This study aims to find the cut-off value and diagnostic accuracy of the use of RDW as initial investigation in enabling the differentiation between IDA and NTDT patients. Patients with microcytic anemia were enrolled in the training set and used to plot a receiving operating characteristics (ROC) curve to obtain the cut-off value of RDW. A second set of patients were included in the validation set and used to analyze the diagnostic accuracy. We recruited 94 IDA and 64 NTDT patients into the training set. The area under the curve of the ROC in the training set was 0.803. The best cut-off value of RDW in the diagnosis of NTDT was 21.0% with a sensitivity and specificity of 81.3% and 55.3% respectively. In the validation set, there were 34 IDA and 58 NTDT patients using the cut-off value of >21.0% to validate. The sensitivity, specificity, positive predictive value and negative predictive value were 84.5%, 70.6%, 83.1% and 72.7% respectively. We can therefore conclude that RDW >21.0% is useful in differentiating between IDA and NTDT patients with high diagnostic accuracy


Biomédica ◽  
2019 ◽  
Vol 39 (1) ◽  
pp. 205-211
Author(s):  
Miriam Partida ◽  
Melva Gutiérrez ◽  
María De la Luz Ayala ◽  
Nelly Margarita Macías ◽  
Carlos Rogelio Alvizo ◽  
...  

Introduction: Obesity and colorectal cancer could be linked by adipocytokines, which are proteins associated with cell proliferation. High levels of the adipocytokine leptin promote the development of colorectal cancer through its receptor.Objective: To determine the association between c.326A>G and c.668A>G LEPR gene polymorphisms and colorectal cancer.Materials and methods: DNA was extracted from the peripheral blood of 147 patients with sporadic colorectal cancer and 134 healthy people. Genotypes were obtained by PCRRFLP and the association was determined by the odds ratio (OR) test using the SPSS™, version 10.0, program. Haplotype frequencies and linkage disequilibrium were estimated by the Arlequin, version 3.5, software.Results: Both polymorphisms were in Hardy-Weinberg equilibrium. Only the c.326A>G heterozygous genotype revealed an increased risk for colorectal cancer development (OR=1.81, 95% CI=1.04-3.16, p=0.04). The AG haplotype showed a significant association with colorectal cancer (OR=0.58, 95% CI=0.35-0.96, p<0.03). Linkage disequilibrium between the variants was only evident for the patients group (r2=0.36). Conclusion: Our results suggest that AG individuals heterozygous for the c.326A>G LEPR variant have a higher risk of colorectal cancer development whereas the AG haplotype (c.326A/c.668G) has a protective effect in the Mexican population.


2020 ◽  
pp. 096914132092142
Author(s):  
Chyke A Doubeni ◽  
Douglas A Corley ◽  
Christopher D Jensen ◽  
Joanne E Schottinger ◽  
Jeffery K Lee ◽  
...  

Objective To examine whether receiving a fecal occult blood test after a negative sigmoidoscopy reduced mortality from colorectal cancer. Methods We used a nested case–control design with incidence-density matching in historical cohorts of 1,877,740 50–90-year-old persons during 2006–2012, in an integrated health-system setting. We selected 1758 average risk patients who died from colorectal cancer and 3503 matched colorectal cancer-free persons. Colorectal cancer-specific death was ascertained from cancer and mortality registries. Screening histories were determined from electronic and chart–audit clinical data in the 5- to 10-year period prior to the reference date. We evaluated receipt of subsequent fecal occult blood test within five years of the reference date among patients with negative sigmoidoscopy two to six years before the reference date. Results Of the 5261 patients, 831 patients (204 colorectal cancer deaths/627 controls) had either negative sigmoidoscopy only ( n = 592) or negative sigmoidoscopy with subsequent screening fecal occult blood test ( n = 239). Fifty-six (27.5%) of the 204 patients dying of colorectal cancer and 183 (29.2%) of the 627 colorectal cancer-free patients received fecal occult blood test following a negative sigmoidoscopy. Conditional regressions found no significant association between fecal occult blood test receipt and colorectal cancer death risk, overall (adjusted odds ratio = 0.93, confidence interval: 0.65–1.33), or for right (odds ratio = 1.02, confidence interval: 0.65–1.60) or left-colon/rectum (odds ratio = 0.77, confidence interval: 0.39–1.52) cancers. Similar results were obtained in sensitivity analyses with alternative exposure ascertainment windows or timing of fecal occult blood test. Conclusions Our results suggest that receipt of at least one fecal occult blood test during the several years after a negative sigmoidoscopy did not substantially reduce mortality from colorectal cancer.


2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 288-288
Author(s):  
Thi Khuc ◽  
Christian Jackson

288 Background: Colorectal cancer (CRC) is the second most common cause of cancer deaths in the United States and expected to cause 51,020 deaths in 2019. Early detection with yearly fecal occult blood test (FOBT) has been proven to decrease CRC mortality. A 30-day delay from positive FOBT to colonoscopy is associated with increased risk of CRC. The Veterans Affairs Health System (VAHS) treats approximately 11% of CRCs in the United States. The effects of an aging population, physician shortage, and increased military personnel entering the VAHS may increase demands on VAHS resources. The primary aim of this study was to determine risk factors that caused delay to colonoscopy. Methods: We retrospectively reviewed records of 600 patients referred for colonoscopy from January 1999 to January 2009, who were subsequently diagnosed with CRC. Patients with a prior CRC diagnosis were excluded. The final study cohort consisted of 530 patients. We analyzed the relationship between 10 variables and delay in time from initial consultation to colonoscopy. Variables consisted of age, sex, race, ethnicity, CRC location, marital status, history of mental health diagnosis, tobacco use, substance abuse, Charlson/Deyo (C/D) score and season of referral for colonoscopy. A delay in time was defined as 30 days or greater. Logistic regression analysis adjusted for age, race, CRC location and C/D score. Results: A total of 87.17% of patients experienced a delay in time from initial consultation to colonoscopy. When analyzed with a predictive variable of delay to colonoscopy, C/D score of ≥ 2 versus 0, was associated with higher odds of delay in time to colonoscopy (OR = 2.18, p = 0.02). African American race and Hispanic ethnicity was associated with a higher odds of delay in time to colonoscopy, but was not statistically significant (OR = 1.47, p = 0.47, OR = 1.37, p = 0.48). Conclusions: Patients with a C/D score ≥ 2 were 218% more likely to have delay in time from initial consult to colonoscopy, resulting in a delayed CRC diagnosis. C/D score may be used to determine which patients should have more frequent reminders to schedule their colonoscopy to prevent delays in care. Randomized and prospective studies will need to be performed.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Bogdan Grigore ◽  
Ruth Lewis ◽  
Jaime Peters ◽  
Sophie Robinson ◽  
Christopher J. Hyde

Abstract Background Tools based on diagnostic prediction models are available to help general practitioners (GP) diagnose colorectal cancer. It is unclear how well they perform and whether they lead to increased or quicker diagnoses and ultimately impact on patient quality of life and/or survival. The aim of this systematic review is to evaluate the development, validation, effectiveness, and cost-effectiveness, of cancer diagnostic tools for colorectal cancer in primary care. Methods Electronic databases including Medline and Web of Science were searched in May 2017 (updated October 2019). Two reviewers independently screened titles, abstracts and full-texts. Studies were included if they reported the development, validation or accuracy of a prediction model, or assessed the effectiveness or cost-effectiveness of diagnostic tools based on prediction models to aid GP decision-making for symptomatic patients presenting with features potentially indicative of colorectal cancer. Data extraction and risk of bias were completed by one reviewer and checked by a second. A narrative synthesis was conducted. Results Eleven thousand one hundred thirteen records were screened and 23 studies met the inclusion criteria. Twenty-studies reported on the development, validation and/or accuracy of 13 prediction models: eight for colorectal cancer, five for cancer areas/types that include colorectal cancer. The Qcancer models were generally the best performing. Three impact studies met the inclusion criteria. Two (an RCT and a pre-post study) assessed tools based on the RAT prediction model. The third study looked at the impact of GP practices having access to RAT or Qcancer. Although the pre-post study reported a positive impact of the tools on outcomes, the results of the RCT and cross-sectional survey found no evidence that use of, or access to, the tools was associated with better outcomes. No study evaluated cost effectiveness. Conclusions Many prediction models have been developed but none have been fully validated. Evidence demonstrating improved patient outcome of introducing the tools is the main deficiency and is essential given the imperfect classification achieved by all tools. This need is emphasised by the equivocal results of the small number of impact studies done so far.


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