Impact of wait times on survival of women with uterine cancer.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 5586-5586
Author(s):  
Lorraine Elit ◽  
Erin O'Leary ◽  
Hsien Seow ◽  
Gregory Russell Pond
Keyword(s):  
Uterine Cancer ◽  
Multivariable Analysis ◽  
Wait Time ◽  
Continuous Variable ◽  
Cox Proportional Hazards ◽  
Wait Times ◽  
Endometrioid Adenocarcinoma ◽  
Multivariable Model ◽  
Histologic Diagnosis ◽  
Definitive Surgery

5586 Background: Reducing cancer wait times have been a priority investment for Cancer Care Ontario since 2005. Our objective was to determine whether wait time from histologic diagnosis of uterine cancer to time of definitive surgery by hysterectomy impacted on all cause survival. Methods: Cases were identified in the Ontario Cancer Registry using ICD-09 codes 179 and 182. Excluded were women without histologic/cytologic confirmation of cancer prior to surgery, with no definitive surgery, or with wait times of ≤14 days or >2 years. Survival was calculated using the Kaplan-Meier method from the day of hysterectomy. Factors were evaluated for their prognostic ability on survival using Cox proportional hazards regression. Wait time was evaluated as a continuous variable and dichotomized at selected cutpoints in the univariable analyses and in a multivariable model adjusting for significant patient factors identified using forward stepwise selection. Results: The final study population included 8,744 women. 51.9% had surgery by a gynaecologist and 69.9% had endometrioid adenocarcinoma. The optimal model is shown below. Multivariable analysis of factors prognostic for survival. Longer wait times remained a statistically significant negative prognostic factor for survival regardless of definition, univariably (p<0.002) and multivariably after adjusting for other significant factors (p<0.001). The final multivariable model is shown. 5-year (95%CI) survival for women with more than 12 week wait times was 61.4 (57.8-64.8)% versus 71.9 (69.9-73.8)% for women with less than 6 week wait time. Conclusions: The longer a woman waits from diagnosis of uterine cancer to definitive surgery negatively impacts her overall survival. [Table: see text]

Impact of Wait Times on Survival for Women With Uterine Cancer

2014 ◽  
Vol 32 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Lorraine M. Elit ◽  
Erin M. O'Leary ◽  
Gregory R. Pond ◽  
Hsien-Yeang Seow
Keyword(s):  
Negative Impact ◽  
Uterine Cancer ◽  
Large Population ◽  
Wait Time ◽  
Cox Proportional Hazards ◽  
Wait Times ◽  
Endometrioid Adenocarcinoma ◽  
Multivariable Model ◽  
Definitive Surgery ◽  
Significant Factors

Purpose To determine whether wait time from histologic diagnosis of uterine cancer to time of definitive surgery by hysterectomy had an impact on all-cause survival. Patients and Methods Women in Ontario with a confirmed histopathologic diagnosis of uterine cancer between April 1, 2000, and March 31, 2009, followed by surgery were identified in the Ontario Cancer Registry. Survival was calculated by using the Kaplan-Meier method. Factors were evaluated for their prognostic effect on survival by using Cox proportional hazards regression. Wait time was evaluated in a multivariable model after adjusting for other significant factors. Results The final study population included 9,417 women; 51.9% had surgery by a gynecologist, and 69.9% had endometrioid adenocarcinoma. Five-year survival for women with wait times of 0.1 to 2, 2.1 to 6, 6.1 to 12, or more than 12 weeks was 71.1%, 81.8%, 79.5%, and 71.9%, respectively. Wait times of ≤ 2 weeks were adversely prognostic for survival after adjusting for other significant factors in the multivariable model, and patients with wait times of more than 12 weeks had worse survival than those who had wait times between 2.1 and 12.0 weeks. Conclusion To the best of our knowledge, this is the first report in a large population-based cohort demonstrating that longer wait times from diagnosis of uterine cancer to definitive surgery have a negative impact on overall survival.

Prognostic relevance of neutrophil to lymphocyte ratio (NLR) before anti-PD1 therapy in metastatic melanoma patients.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21045-e21045
Author(s):  
Daniel Vilarim Araujo ◽  
Rafael Vanin de Moraes ◽  
Victor Aurelio Ramos Sousa ◽  
Mauro Daniel Spina Donadio ◽  
Aline Fusco Fares ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Metastatic Melanoma ◽  
Proportional Hazards ◽  
Checkpoint Inhibitors ◽  
Prognostic Significance ◽  
Multivariable Analysis ◽  
Continuous Variable ◽  
Cox Proportional Hazards ◽  
Rank Test ◽  
Melanoma Patients

e21045 Background: Biomarkers to select the patients most likely to benefit from checkpoint inhibitors are urged. NLR is a simple way of measuring systemic inflammation and is an independent predictor of survival before Anti-CTLA4 therapy. We hypothesized if NLR is also a predictor of survival before Anti-PD1 therapy. Methods: We performed a retrospective review of the medical records of all consecutive metastatic melanoma patients who received Nivolumab treatment from January/2014 – February/2017, including 53 patients prospectively collected from an Expanded Access Program. Of 86 patients, 83 patients were included for demographic and efficacy analysis, and 74 had information about baseline pre-treatment NLR. We analyzed NLR as a continuous variable and categorised ≥ 5 vs. < 5. Kaplan-Meier method was used for survival analysis. Long-rank test compared categories and Cox proportional hazards regression model was used to assess the prognostic significance of baseline NLR in univariate and multivariable analysis. Results: Median PFS for the entire population was 6,407 months (3,28 – 9,52) and median OS was not reached (NR) with a median FU of 10,74 months. The median NLR ratio was 3,11 (0,87 – 19). 18 patients (24,3%) had a ≥ 5 NLR vs. 56 (75,7%) < 5. Median PFS for NLR ≥ 5 was: 2,3 (1,75 – 2,84) vs. 12,02 (5,11 – 18,93) for < 5 (HR = 3,11; IC95% 1,52 – 6,27; p = 0,001). Median OS ≥ 5: 3,05 (2,06 – 4,04) vs. NR for < 5 (HR = 5,88; IC95% 2,60 – 13,29; p = 0,001). NLR categorised remained statistically significant in multivariate analysis for PFS and NLR as a continuous variable remained statistically significant for both PFS and OS in multivariate analysis (Table 1). Conclusions: Baseline NLR is a rapid, simple, and cost-free predictor of survival before Anti-PD1 therapy. These results should be validated in a larger cohort of patients. [Table: see text]

Radiation Records in the National Cancer Database: Variations in Coding and/or Practice Can Significantly Alter Survival Results

2019 ◽  
pp. 1-9 ◽  
Author(s):  
Corbin D. Jacobs ◽  
David J. Carpenter ◽  
Julian C. Hong ◽  
Laura J. Havrilesky ◽  
Julie A. Sosa ◽  
...  
Keyword(s):  
Uterine Cancer ◽  
Multivariable Analysis ◽  
Data Entry ◽  
Geographic Region ◽  
Cox Proportional Hazards ◽  
Rank Test ◽  
National Cancer Database ◽  
Clinical Scenario ◽  
Anomalous Data ◽  
Gynecology And Obstetrics

PURPOSE The aim of the current work was to quantify internally inconsistent and anomalous radiation therapy (RT) data in the National Cancer Database (NCDB) and determine their association with overall survival (OS) using node-positive uterine cancer as a test clinical scenario. MATERIALS AND METHODS We identified all NCDB participants with International Federation of Gynecology and Obstetrics stage IIIC1 to IIIC2 uterine cancer treated with hysterectomy and adjuvant RT between 1998 and 2012. Variables that were reviewed to identify anomalous data included RT site, modality, dose, fractions, timing, duration, and stage. We used χ2 testing to associate anomalous data with reporting facility and demographic variables. OS was estimated using the Kaplan-Meier method and comparison between cohorts was performed using the log-rank test. Univariable and multivariable Cox proportional hazards regression analyses were performed. RESULTS Of the 14,298 analyzed participants, 2,288 (16.0%) had one or more anomalous data entry, 538 (3.8%) likely because of an incomplete RT course. χ2 testing suggested differences in anomalous data prevalence by reporting facility type ( P = .0007), geographic region ( P < .001), distance from participants’ homes ( P < .001), diagnosis year ( P < .001), and location of RT relative to reporting facility ( P = .0038). Five-year OS in those with one or more anomalous data entry was 51.3% versus 58.0% for those without anomalous data ( P < .001), and anomalous data remained significantly associated with OS on multivariable analysis. After excluding insufficient, excessive, or unknown total RT dose, anomalous data were no longer significant on multivariable analysis. CONCLUSION The overwhelming majority of RT data within the NCDB seem to be appropriate for the clinical scenario. Nevertheless, approximately one eighth of participants in this test clinical scenario had adjuvant RT data that were internally inconsistent or outside generously defined norms. The presence of anomalous RT data was significantly associated with compromised OS, an effect not observed after correcting for total RT dose.

Reporting of Multivariable Methods in the Medical Literature

2008 ◽  
Vol 56 (7) ◽  
pp. 954-957 ◽  
Author(s):  
Jeanette M. Tetrault ◽  
Maor Sauler ◽  
Carolyn K. Wells ◽  
John Concato
Keyword(s):  
Logistic Regression ◽  
New England ◽  
Proportional Hazards ◽  
Medical Literature ◽  
Multivariable Analysis ◽  
Cox Proportional Hazards ◽  
Primary Method ◽  
Primary Analysis ◽  
Proportional Hazards Assumption ◽  
Complete Reporting

BackgroundMultivariable models are frequently used in the medical literature, but many clinicians have limited training in these analytic methods. Our objective was to assess the prevalence of multivariable methods in medical literature, quantify reporting of methodological criteria applicable to most methods, and determine if assumptions specific to logistic regression or proportional hazards analysis were evaluated.MethodsWe examined all original articles in Annals of Internal Medicine, British Medical Journal, Journal of the American Medical Association, Lancet, and New England Journal of Medicine, from January through June 2006. Articles reporting multivariable methods underwent a comprehensive review; reporting of methodological criteria was based on each article's primary analysis.ResultsAmong 452 articles, 272 (60%) used multivariable analysis; logistic regression (89 [33%] of 272) and proportional hazards (76 [28%] of 272) were most prominent. Reporting of methodological criteria, when applicable, ranged from 5% (12/265) for assessing influential observations to 84% (222/265) for description of variable coding. Discussion of interpreting odds ratios occurred in 13% (12/89) of articles reporting logistic regression as the primary method and discussion of the proportional hazards assumption occurred in 21% (16/76) of articles using Cox proportional hazards as the primary method.ConclusionsMore complete reporting of multivariable analysis in the medical literature can improve understanding, interpretation, and perhaps application of these methods.

Impact of Baseline Neutrophil-to-Lymphocyte Ratio on Long-Term Prognosis in Patients With Atrial Fibrillation

Angiology ◽  
2021 ◽  
pp. 000331972110004
Author(s):  
Shuang Wu ◽  
Yan-min Yang ◽  
Jun Zhu ◽  
Jia-meng Ren ◽  
Juan Wang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Continuous Variable ◽  
Cox Proportional Hazards ◽  
Neutrophil To Lymphocyte Ratio ◽  
Long Term Outcomes ◽  
Lymphocyte Ratio ◽  
Net Reclassification Improvement ◽  
Increased Risk ◽  
All Cause Mortality

We performed a retrospective analysis involving 1269 patients with atrial fibrillation (AF) to evaluate the predictive value of the neutrophil-to-lymphocyte ratio (NLR) on long-term outcomes. The primary outcomes were all-cause mortality and combined end point events (CEEs). Cox proportional hazards regression analysis and net reclassification improvement (NRI) analysis were performed. During a median follow-up of 3.32 years, 285 deaths and 376 CEEs occurred. With the elevation of the NLR, the incidence of all-cause mortality (2.77, 4.14, 6.12, and 12.18/100 person-years) and CEEs (4.19, 7.40, 8.03, and 15.22/100 person-years) significantly increased. Multivariate Cox analysis indicated that the highest NLR quartile was independently associated with the incidence of all-cause mortality (hazard ratio [HR] = 1.77, 95% CI: 1.19-2.65) and CEEs (HR = 1.66, 95% CI: 1.18-2.33). When the NLR was analyzed as a continuous variable, a 1-unit increment in log NLR was related to 134% increased risk of all-cause mortality and 119% increased risk of CEEs. Net reclassification improvement analysis revealed that NLR significantly improved risk stratification for all-cause death and CEEs by 15.0% and 9.6%, respectively. Neutrophil-to-lymphocyte ratio could be an independent predictor of long-term outcomes in patients with AF.

The Efficacy of Etoposide-Based Therapy in Adult Secondary Hemophagocytic Lymphohistiocytosis

2021 ◽  
pp. 1-9
Author(s):  
Leonard Naymagon ◽  
Douglas Tremblay ◽  
John Mascarenhas
Keyword(s):  
Hemophagocytic Lymphohistiocytosis ◽  
Proportional Hazards ◽  
Multivariable Analysis ◽  
Cox Proportional Hazards ◽  
Rank Test ◽  
Kaplan Meier ◽  
Hazard Ratios ◽  
Significant Difference ◽  
The Impact

Data supporting the use of etoposide-based therapy in hemophagocytic lymphohistiocytosis (HLH) arise largely from pediatric studies. There is a lack of comparable data among adult patients with secondary HLH. We conducted a retrospective study to assess the impact of etoposide-based therapy on outcomes in adult secondary HLH. The primary outcome was overall survival. The log-rank test was used to compare Kaplan-Meier distributions of time-to-event outcomes. Multivariable Cox proportional hazards modeling was used to estimate adjusted hazard ratios (HRs) with 95% confidence intervals (CIs). Ninety adults with secondary HLH seen between January 1, 2009, and January 6, 2020, were included. Forty-two patients (47%) received etoposide-based therapy, while 48 (53%) received treatment only for their inciting proinflammatory condition. Thirty-three patients in the etoposide group (72%) and 32 in the no-etoposide group (67%) died during follow-up. Median survival in the etoposide and no-etoposide groups was 1.04 and 1.39 months, respectively. There was no significant difference in survival between the etoposide and no-etoposide groups (log-rank <i>p</i> = 0.4146). On multivariable analysis, there was no association between treatment with etoposide and survival (HR for death with etoposide = 1.067, 95% CI: 0.633–1.799, <i>p</i> = 0.8084). Use of etoposide-based therapy was not associated with improvement in outcomes in this large cohort of adult secondary HLH patients.

scholarly journals Online Ratings of Primary Care Physicians: Comparison of Gender, Training, and Specialty

2021 ◽  
Vol 8 ◽  
pp. 237437352110077
Author(s):  
Daliah Wachs ◽  
Victoria Lorah ◽  
Allison Boynton ◽  
Amanda Hertzler ◽  
Brandon Nichols ◽  
...  
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Waiting Times ◽  
Wait Time ◽  
Primary Care Providers ◽  
Wait Times ◽  
Care Providers ◽  
Female Physicians ◽  
Online Ratings ◽  
And Gender

The purpose of this study was to explore patient perceptions of primary care providers and their offices relative to their physician’s philosophy (medical degree [MD] vs doctorate in osteopathic medicine [DO]), specialty (internal medicine vs family medicine), US region, and gender (male vs female). Using the Healthgrades website, the average satisfaction rating for the physician, office parameters, and wait time were collected and analyzed for 1267 physicians. We found female doctors tended to have lower ratings in the Midwest, and staff friendliness of female physicians were rated lower in the northwest. In the northeast, male and female MDs were rated more highly than DOs. Wait times varied regionally, with northeast and northwest regions having the shortest wait times. Overall satisfaction was generally high for most physicians. Regional differences in perception of a physician based on gender or degree may have roots in local culture, including proximity to a DO school, comfort with female physicians, and expectations for waiting times.

scholarly journals Determinants of Long Immunization Clinic Wait Times in a Sub-Saharan African Country

2021 ◽  
Vol 8 ◽  
pp. 2333794X2110282
Author(s):  
Osayame Austine Ekhaguere ◽  
Rosena Olubanke Oluwafemi ◽  
Angela Oyo-Ita ◽  
Burke Mamlin ◽  
Paul Bondich ◽  
...  
Keyword(s):  
Focus Group ◽  
Critical Mass ◽  
Wait Time ◽  
Wait Times ◽  
Group Discussions ◽  
Middle Income ◽  
Middle Income Countries ◽  
Group Data ◽  
Focus Group Data ◽  
Sub Saharan

The wait time clients spend during immunization clinic visits in low- and middle-income countries is a not well-understood reported barrier to vaccine completion. We used a prospective, observational design to document the total time from client arrival-to-discharge and all sequential provider-client activities in 1 urban, semi-urban, and rural immunization clinic in Nigeria. We also conducted caregiver and provider focus group discussions to identify perceived determinants of long clinic wait times. Our findings show that the time from arrival-to-discharge varied significantly by the clinic and ranged between 57 and 235 minutes, as did arrival-to-all providers-client activities. Focus group data attributed workflow delays to clinic staff waiting for a critical mass of clients to arrive for their immunization appointment before starting the essential health education talk or opening specific vaccine vials. Additionally, respondents indicated that complex documentation processes caused system delays. Research on clinic workflow transformation and simplification of immunization documentation is needed.

Primary Uterine Cancer in Maryland: Impact of Distance on Access to Surgical Care at High-Volume Hospitals

2013 ◽  
Vol 23 (7) ◽  
pp. 1244-1251 ◽  
Author(s):  
Camille C. Gunderson ◽  
Ana I. Tergas ◽  
Aimee C. Fleury ◽  
Teresa P. Diaz-Montes ◽  
Robert L. Giuntoli
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Uterine Cancer ◽  
Multivariable Analysis ◽  
Community Setting ◽  
Surgical Care ◽  
High Volume ◽  
High Volume Hospital ◽  
To Receive ◽  
Zip Code

ObjectiveTo evaluate the influence of distance on access to high-volume surgical treatment for patients with uterine cancer in Maryland.MethodsThe Maryland Health Services Cost Review Commission database was retrospectively searched to identify primary uterine cancer surgical cases from 1994 to 2010. Race, type of insurance, year of surgery, community setting, and both surgeon and hospital volume were collected. Geographical coordinates of hospital and patient’s zip code were used to calculate primary independent outcomes of distance traveled and distance from nearest high-volume hospital (HVH). Logistic regression was used to calculate odds ratios and confidence intervals.ResultsFrom 1994 to 2010, 8529 women underwent primary surgical management of uterine cancer in Maryland. Multivariable analysis demonstrated white race, rural residence, surgery by a high-volume surgeon and surgery from 2003 to 2010 to be associated with both travel 50 miles or more to the treating hospital and residence 50 miles or more from the nearest HVH (allP< 0.05). Patients who travel 50 miles or more to the treating hospital are more likely to have surgery at a HVH (odds ratio, 6.03; 95% confidence interval, 4.67–7.79) In contrast, patients, who reside ≥50 miles from a HVH, are less likely to have their surgery at an HVH. (odds ratio, 0.37; 95% confidence interval, 0.32–0.42).ConclusionIn Maryland, 50 miles or more from residence to the nearest HVH is a barrier to high-volume care. However, patients who travel 50 miles or more seem to do so to receive care by a high-volume surgeon at an HVH. In Maryland, Nonwhites are more likely to live closer to an HVH and more likely to use these services.

scholarly journals Multivariable Model for Time to First Treatment in Patients With Chronic Lymphocytic Leukemia

2011 ◽  
Vol 29 (31) ◽  
pp. 4088-4095 ◽  
Author(s):  
William G. Wierda ◽  
Susan O'Brien ◽  
Xuemei Wang ◽  
Stefan Faderl ◽  
Alessandra Ferrajoli ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Chronic Lymphocytic Leukemia ◽  
Multivariable Analysis ◽  
Lymphocytic Leukemia ◽  
Cancer Center ◽  
Serum Lactate Dehydrogenase ◽  
Multivariable Model ◽  
Cervical Lymph Nodes ◽  
Mutation Status ◽  
Time To First Treatment

Purpose The clinical course for patients with chronic lymphocytic leukemia (CLL) is diverse; some patients have indolent disease, never needing treatment, whereas others have aggressive disease requiring early treatment. We continue to use criteria for active disease to initiate therapy. Multivariable analysis was performed to identify prognostic factors independently associated with time to first treatment for patients with CLL. Patients and Methods Traditional laboratory, clinical prognostic, and newer prognostic factors such as fluorescent in situ hybridization (FISH), IGHV mutation status, and ZAP-70 expression evaluated at first patient visit to MD Anderson Cancer Center were correlated by multivariable analysis with time to first treatment. This multivariable model was used to develop a nomogram—a weighted tool to calculate 2- and 4-year probability of treatment and estimate median time to first treatment. Results There were 930 previously untreated patients who had traditional and new prognostic factors evaluated; they did not have active CLL requiring initiation of treatment within 3 months of first visit and were observed for time to first treatment. The following were independently associated with shorter time to first treatment: three involved lymph node sites, increased size of cervical lymph nodes, presence of 17p deletion or 11q deletion by FISH, increased serum lactate dehydrogenase, and unmutated IGHV mutation status. Conclusion We developed a multivariable model that incorporates traditional and newer prognostic factors to identify patients at high risk for progression to treatment. This model may be useful to identify patients for early interventional trials.

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