Factors related with symptom duration until diagnosis and treatment of symptomatic colorectal cancer

[Abstract] Background: Colorectal cancer (CRC) survival depends mostly on stage at the time of diagnosis. However, symptom duration at diagnosis or treatment have also been considered as predictors of stage and survival. This study was designed to: 1) establish the distinct time-symptom duration intervals; 2) identify factors associated with symptom duration until diagnosis and treatment. Methods: This is a cross-sectional study of all incident cases of symptomatic CRC during 2006-2009 (795 incident cases) in 5 Spanish regions. Data were obtained from patients' interviews and reviews of primary care and hospital clinical records. Measurements: CRC symptoms, symptom perception, trust in the general practitioner (GP), primary care and hospital examinations/visits before diagnosis, type of referral and tumor characteristics at diagnosis. Symptom Diagnosis Interval (SDI) was calculated as time from first CRC symptoms to date of diagnosis. Symptom Treatment Interval (STI) was defined as time from first CRC symptoms until start of treatment. Nonparametric tests were used to compare SDI and STI according to different variables. Results: Symptom to diagnosis interval for CRC was 128 days and symptom treatment interval was 155. No statistically significant differences were observed between colon and rectum cancers. Women experienced longer intervals than men. Symptom presentation such as vomiting or abdominal pain and the presence of obstruction led to shorter diagnostic or treatment intervals. Time elapsed was also shorter in those patients that perceived their first symptom/s as serious, disclosed it to their acquaintances, contacted emergencies services or had trust in their GPs. Primary care and hospital doctor examinations and investigations appeared to be related to time elapsed to diagnosis or treatment. Conclusions: Results show that gender, symptom perception and help-seeking behaviour are the main patient factors related to interval duration. Health service performance also has a very important role in symptom to diagnosis and treatment interval. If time to diagnosis is to be reduced, interventions and guidelines must be developed to ensure appropriate examination and diagnosis during both primary and hospital care.Instituto de Salud Carlos III; PI:052273Instituto de Salud Carlos III; PI050787Instituto de Salud Carlos III; PI050700Instituto de Salud Carlos III; PI052692Instituto de Salud Carlos III; PI05214

Factors related with symptom duration until diagnosis and treatment of symptomatic colorectal cancer

BACKGROUND: Colorectal cancer (CRC) survival depends mostly on stage at the time of diagnosis. However, symptom duration at diagnosis or treatment have also been considered as predictors of stage and survival. This study was designed to: 1) establish the distinct time-symptom duration intervals; 2) identify factors associated with symptom duration until diagnosis and treatment. METHODS: This is a cross-sectional study of all incident cases of symptomatic CRC during 2006–2009 (795 incident cases) in 5 Spanish regions. Data were obtained from patients’ interviews and reviews of primary care and hospital clinical records. Measurements: CRC symptoms, symptom perception, trust in the general practitioner (GP), primary care and hospital examinations/visits before diagnosis, type of referral and tumor characteristics at diagnosis. Symptom Diagnosis Interval (SDI) was calculated as time from first CRC symptoms to date of diagnosis. Symptom Treatment Interval (STI) was defined as time from first CRC symptoms until start of treatment. Nonparametric tests were used to compare SDI and STI according to different variables. RESULTS: Symptom to diagnosis interval for CRC was 128 days and symptom treatment interval was 155. No statistically significant differences were observed between colon and rectum cancers. Women experienced longer intervals than men. Symptom presentation such as vomiting or abdominal pain and the presence of obstruction led to shorter diagnostic or treatment intervals. Time elapsed was also shorter in those patients that perceived their first symptom/s as serious, disclosed it to their acquaintances, contacted emergencies services or had trust in their GPs. Primary care and hospital doctor examinations and investigations appeared to be related to time elapsed to diagnosis or treatment. CONCLUSIONS: Results show that gender, symptom perception and help-seeking behaviour are the main patient factors related to interval duration. Health service performance also has a very important role in symptom to diagnosis and treatment interval. If time to diagnosis is to be reduced, interventions and guidelines must be developed to ensure appropriate examination and diagnosis during both primary and hospital care

Diagnosis delay and follow-up strategies in colorectal cancer. Prognosis implications: a study protocol

<p>Abstract</p> <p>Background</p> <p>Controversy exists with regard to the impact that the different components of diagnosis delay may have on the degree of invasion and prognosis in patients with colorectal cancer. The follow-up strategies after treatment also vary considerably. The aims of this study are: a) to determine if the symptoms-to-diagnosis interval and the treatment delay modify the survival of patients with colorectal cancer, and b) to determine if different follow-up strategies are associated with a higher survival rate.</p> <p>Methods/Design</p> <p>Multi-centre study with prospective follow-up in five regions in Spain (Galicia, Balearic Islands, Catalonia, Aragón and Valencia) during the period 2010-2012. Incident cases are included with anatomopathological confirmation of colorectal cancer (International Classification of Diseases 9th revision codes 153-154) that formed a part of a previous study (n = 953).</p> <p>At the time of diagnosis, each patient was given a structured interview. Their clinical records will be reviewed during the follow-up period in order to obtain information on the explorations and tests carried out after treatment, and the progress of these patients.</p> <p>Symptoms-to-diagnosis interval is defined as the time calculated from the diagnosis of cancer and the first symptoms attributed to cancer. Treatment delay is defined as the time elapsed between diagnosis and treatment. In non-metastatic patients treated with curative intention, information will be obtained during the follow-up period on consultations performed in the digestive, surgery and oncology departments, as well as the endoscopies, tumour markers and imaging procedures carried out.</p> <p>Local recurrence, development of metastases in the follow-up, appearance of a new tumour and mortality will be included as outcome variables.</p> <p>Actuarial survival analysis with Kaplan-Meier curves, Cox regression and competitive risk survival analysis will be performed.</p> <p>Discussion</p> <p>This study will make it possible to verify if the different components of delay have an impact on survival rate in colon cancer and rectal cancer. In consequence, this multi-centre study will be able to detect the variability present in the follow-up of patients with colorectal cancer, and if this variability modifies the prognosis. Ideally, this study could determine which follow-up strategies are associated with a better prognosis in colorectal cancer.</p

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Selection of the register file size and the resource policy on SMT processors

The performance impact of the Physical Register File (PRF) size on Simultaneous Multithreading processors has not been extensively studied in spite of being a critical shared resource. In this paper we analyze the effect on performance of the PRF size for a broad set of resource allocation policies (Icount, Stall, Flush, Flush++, Static, Dcra and Hill-climbing) and evaluate them under two metrics: instructions per second (IPS) for throughput and harmonic mean of weighted IPCs (Hmean-wIPC) for fairness. We have found that resource allocation policy and PRF size should be considered together in order to obtain the best score in the proposed metrics. For instance, for the analyzed 2 and 4-threaded SPEC CPU2000 workloads, small PRFs are best managed by Flush, whereas for larger PRFs, Hill-climbing and Static lead to the best values for the throughput and fairness metrics, respectively. The second contribution of this work is a simple procedure that, for a given resource allocation policy, selects the PRF size that maximizes IPS and obtains for HmeanwIPC a value close to its maximum. According to our results, Hill-climbing with a 320-entry PRF achieves the best figures for 2-threaded workloads. When executing 4-threaded workloads, Hill-Climbing with a 384-entry PRF achieves the best throughput whereas Static obtains the best throughput-fairness balance.Postprint (published version

GRANJA AGRÍCOLA. LABORATORIO [Material gráfico]

Copia digital. Madrid : Ministerio de Educación, Cultura y Deporte, 201