SEARCH

SEARCH BY CITATION

Keywords:

  • urinary bladder neoplasms;
  • hematuria;
  • diagnosis;
  • insurance claim review;
  • standards

Abstract

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

BACKGROUND

Women have disproportionately higher mortality rates relative to incidence for bladder cancer. Multiple etiologies have been proposed, including delayed diagnosis and treatment. Guidelines recommend ruling out malignancy in men and women presenting with hematuria. This study sought to determine the difference in timing from presentation with hematuria to diagnosis of bladder cancer in women versus men.

METHODS

This is a retrospective population-based study examining the timing from presentation with hematuria to diagnosis of bladder cancer, based on data from the MarketScan databases, which include enrollees of more than 100 health insurance plans of approximately 40 large US employers from 2004 through 2010. All study patients presented with hematuria and were subsequently diagnosed with bladder cancer. The primary outcome measure was number of days between initial presentation with hematuria and diagnosis of bladder cancer by sex.

RESULTS

A total of 5416 men and 2233 women met inclusion criteria. Mean days from initial hematuria claim to bladder cancer claim was significantly longer in women (85.4 versus 73.6 days, P < .001), and the proportion of women with >6 month delay in bladder cancer diagnosis was significantly higher (17.3% versus 14.1%, P < .001). Women were more likely to be diagnosed with urinary tract infection (odds ratio = 2.32, 95% confidence interval = 2.07-2.59) and less likely to undergo abdominal or pelvic imaging (odds ratio = 0.80, 95% confidence interval = 0.71-0.89).

CONCLUSIONS

Both men and women experience significant delays between presentation with hematuria and diagnosis of bladder cancer, with longer delays for women. This may be partly responsible for the sex-based discrepancy in outcomes associated with bladder cancer. Cancer 2014;120:555–661. © 2013 American Cancer Society.


INTRODUCTION

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

There were an estimated 73,510 incident cases of bladder cancer in the United States in 2012, with 55,600 and 17,910 cases in males and females, respectively (3.1 to 1 ratio).[1, 2] Of the 14,880 estimated deaths from bladder cancer, 10,510 were men and 4370 were women (2.4 to 1 ratio),[2] demonstrating the disproportionate mortality:incidence ratio for women that is well-documented in the literature.[3-7] Specifically, a study by the EUROCARE Working Group[8] demonstrated a 5% absolute decreased 5-year survival for women compared to men, controlling for age and expected mortality. This phenomenon was unique to bladder cancer, as the EUROCARE study found that women appeared to have a significant survival advantage for cancers of the head and neck, esophagus, stomach, liver, and pancreas.

The mechanisms for increased mortality in women with bladder cancer are not completely understood. Although advanced stage of presentation has been hypothesized, a review of the Surveillance, Epidemiology, and End Results (SEER) database by Mungan et al demonstrated a 5-year overall relative survival advantage for males across all stages of disease.[5] Studies evaluating disparities in aggressive treatment are mixed and do not appear to explain the disparity in prognosis,[9, 10] nor does in-hospital mortality following aggressive therapy.[11] However, for both men and women, it has been established that delays in diagnosis and treatment (specifically, a delay >6 months for diagnosis[12] and >12 weeks from diagnosis to cystectomy[13-16]) adversely impact survival. Furthermore, recent studies suggest that relative to men, women may be at greater risk of delays in diagnosis[17] and presentation with advanced disease.[18]

Gross hematuria is the most prognostic clinical sign of underlying urologic malignancy, with urothelial cell carcinoma present in 13% to 34.5% of cases.[19, 20] Microscopic hematuria is associated with malignancy in 0.5% to 10.5% of cases.[20-23] As such, even in cases of asymptomatic microscopic hematuria, the American Urological Association (AUA) Guidelines recommend a thorough workup for malignancy, consisting of upper tract imaging and cystoscopy, following the ruling out of obvious benign causes.[24] In patients 40 to 59 years of age, gross hematuria carries a positive predictive value for urologic cancer that is actually higher for women than men (6.4% versus 3.6%).[25] Nonetheless, women presenting with hematuria are less likely to see a urologist, with one study demonstrating men to be 65% more likely to receive a urologic referral.[26] This is thought to be related to the differential assumption of a benign diagnosis in women.[27] A recent study of patients ultimately diagnosed with bladder cancer found women to be less likely to have undergone prompt urologic consultation for their presenting symptoms and more likely to have received 3 or more courses of antibiotics.[28]

If women are more likely to die from bladder cancer than men at any stage as the literature suggests,[8] and that delay in diagnosis and treatment adversely impacts survival,[12, 14-16] timely diagnosis of bladder cancer in women is of utmost importance. Our study aims to evaluate sex disparities in the timing from clinical presentation with hematuria to the diagnosis of bladder cancer in a large nationwide cohort.

MATERIALS AND METHODS

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

Data Source

Data were obtained from the Thomson Reuters MarketScan Commercial Claims and Encounters Database,[29] which has collected longitudinally-linked claims data on approximately 40 self-insured employers since 1994. MarketScan data extraction has been particularly robust since 2004, and by 2010, the databases contained claims data linking episodes of care on 40 million patients. The MarketScan databases contain information on patient demographics, dates of service, International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic codes, Current Procedural Terminology (CPT) codes, and other data. Because it is a limited data set with no identifiable personal health information, MarketScan analysis is exempt from institutional board review, and exempt status was confirmed by our institution's institutional board prior to initiating the study.

Data collected on each patient focused on our primary outcome measure, which was number of days between initial hematuria claim and initial bladder cancer claim. Secondary outcome analysis evaluated the proportion of patients with extended delay from initial hematuria claim to initial bladder cancer claim, timing and number of hematuria visits, diagnosis of urinary tract infection (UTI), number of courses of antibiotics, and receipt of upper tract imaging and cytology. Over the course of the study period, there was a gradual incorporation of expanded hematuria ICD-9 codes in clinical practice (ie, unspecified, gross, and microscopic), and the ICD-9 hematuria claim billed for each patient's initial hematuria visit was also extracted. Specific ICD-9 and CPT codes are provided in Table 1.

Table 1. International Classification of Dieases, Ninth Revision, Clinical Modification (ICD-9-CM) Diagnostic Codes and Current Procedural Terminology (CPT) Codes Used in Data Extraction
Diagnosis or Diagnostic TestICD-9 or CPT Codes
Malignant neoplasm of urinary bladder188, 188.1-188.9, 233.7
Hematuria599.7, 599.70, 599.71, 599.72
Urinary tract infection599.0
Imaging 
Computed tomography, abdomen and/or pelvis74150, 74160, 74170, 72192, 72193, 72194
Ultrasound76770, 76775, 76857
Intravenous pyelography74400, 74410, 74415
Urinalysis81001, 81002, 81003, 81005, 81007, 81015, 81020
Urine culture87086, 87088, 87184, 87186
Urine cytology88104, 88108, 88112
Cystoscopy52000, 52005, 52204, 52281, 52224

Study Population

We queried the MarketScan outpatient care databases to identify those patients who had an initial bladder cancer claim between 2004 and 2010. Only those patients who had an initial hematuria claim within 12 months of their initial bladder cancer claim were included in the study population. We chose a window of 1 year to limit potential cases where the initial hematuria claim may not be related to the incident bladder cancer, as might, for example, be observed with a 2-year window. Patients were additionally required to have been present within the MarketScan databases for 2 years prior to their initial hematuria claim without claims for bladder cancer or hematuria within this precedent period.

Data Analysis

Baseline demographic data for men and women were summarized using standard descriptive statistics (means and standard deviation or 95% confidence intervals [CIs] and/or medians and interquartile ranges for continuous variables; sample sizes and proportions for categorical variables). The Student t test or Mann-Whitney U test was performed for comparison of continuous variables and chi-square test for comparison of categorical variables.

Subset analysis of days to bladder cancer claim was performed based on the ICD-9 billing code claimed at each patient's initial hematuria visit. This was planned a priori, based on the hypothesis that, for example, gross and microscopic hematuria might receive differential workup in clinical practice. Univariate logistic regression analysis was performed to assess odds of >3 month, >6 month, and >9 month delay from initial hematuria claim to initial bladder cancer claim based on multiple clinical and demographic factors. These time intervals for “extended delay” were chosen to model previous studies demonstrating the clinical significance of 3-month intervals in delay in diagnosis[12] and treatment.[13-16] Multivariable logistic regression analysis was performed to assess the impact of sex on odds of delay in diagnosis of >3, >6, and >9 months, adjusted for those variables found to be clinically and statistically significant based on univariate analysis. Multivariate linear regression was used to perform adjusted analysis of the delay between presentation with hematuria and diagnosis of bladder cancer as a continuous variable. Charlson Comorbidity Index (CCI) scores were calculated using the Healthcare Cost and Utilization Project (HCUP-US) software, which assigns variables that identify comorbidities in medical records using ICD-9 codes (Comorbidity Software, version 3.7).

All analyses were performed with Stata, version 12.0, statistical software (StataCorp, College Station, Tex). A 2-sided P value < .05 was considered statistically significant.

RESULTS

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

There were 7649 patients who met inclusion criteria, of whom 5416 were men and 2233 were women. Patient characteristics are highlighted in Table 2. Women on average were significantly younger (mean age, 55.7 ± 7.8 years versus 57.0 ± 7.2 years; P < .001) and less comorbid (mean CCI, 0.46 ± 0.84 versus 0.52 ± 0.91; P = .004). Although there was no evidence of a difference between men and women in proportion with initial ICD-9 claim for unspecified hematuria, women were significantly more likely to have an ICD-9 claim for microscopic hematuria (P < .001) and less likely to have an ICD-9 claim for gross hematuria (P = .02). There was no difference in the mean number of hematuria visits prior to the diagnosis of bladder cancer between men and women (mean number of visits, 2.74 for both men and women; P = .46).

Table 2. Baseline Patient Characteristics
CharacteristicMen (N = 5416)Women (N = 2233)P
  1. Abbreviations: CI, confidence interval; ICD-9, International Classification of Diseases, Ninth Revision.

Age, y (95% CI)57.0 (56.8-57.2)55.7 (55.4-56.1)<.001
Charlson Comorbidity Index score (95% CI)0.52 (0.50-0.55)0.46 (0.43-0.50).004
From metropolitan statistical area81.5%83.9%.01
Number of hematuria visits (95% CI)2.74 (2.70-2.79)2.74 (2.67-2.81).46
Hematuria ICD-9 code   
Hematuria unspecified85.8%85.1%.41
Gross hematuria9.2%7.5%.02
Microscopic hematuria5.0%7.4%<.001

The delay between initial hematuria claim and bladder cancer diagnosis was significantly longer for women (mean, 85.4 ± 97.7 days versus 73.6 ± 91.1 days; P < .001). In addition, women were significantly more likely to have experienced delays of greater than 3 months, 6 months, and 9 months between hematuria presentation and bladder cancer diagnosis (30.9% versus 24.5%, P < .001; 17.3% versus 14.1%, P < .001; and 9.4% versus 7.1%, P = .001, respectively) (Table 3). Women underwent significantly more urinalyses (mean per patient, 1.39 ± 1.61 versus 1.19 ± 1.35; P < .001) and urine cultures (mean per patient, 0.83 ± 1.20 versus 0.53 ± 0.86; P < .001) and were significantly more likely to receive antibiotics (40.1% versus 35.4%, P < .001). Women were more likely to be diagnosed with UTI (33.1% versus 17.6%; odds ratio [OR] = 2.32, 95% CI = 2.07-2.59; P < .001), and 8.7% of women underwent 3 or more courses of antibiotics prior to diagnosis of bladder cancer as compared to 5.2% of men (P < .001). In contrast, women were less likely than men to undergo upper tract imaging (73.1% versus 77.3%; OR = 0.80, 95% CI = 0.71-0.89; P < .001) (Table 3).

Table 3. Assessment of Clinical Course From Initial Hematuria Presentation to Diagnosis With Bladder Cancer
 MenWomenP
  1. Abbreviations: CI, confidence interval; IQR, interquartile range.

Delay in diagnosis of bladder cancer from presentation with hematuria   
Mean no. days from hematuria presentation to bladder cancer diagnosis (95% CI)73.6 (71.2-76.1)85.4 (81.3-89.4)<.001
Median no. days from hematuria presentation to bladder cancer diagnosis (IQR)35 (15, 88.5)41 (17, 117)<.001
Delay <3 months, n (%)4068 (75.1)1538 (68.9)<.001
Delay 3 to 6 months, n (%)583 (10.8)308 (13.8) 
Delay 6 to 9 months, n (%)379 (7.0)177 (7.9) 
Delay 9 to 12 months, n (%)386 (7.1)210 (9.4) 
Infectious workup   
Urinalysis sent65.8%67.8%.11
Mean no. of urinalyses sent (95% CI)1.19 (1.16-1.45)1.39 (1.16-1.23)<.001
Urine culture sent38.5%49.8%<.001
Mean no. of urine cultures sent (95% CI)0.53 (0.51-0.55)0.83 (0.78-0.88)<.001
Urinary tract infection claim present17.6%33.1%<.001
Any antibiotic filled35.4%40.1%<.001
Malignant workup   
Any abdominal/pelvic imaging77.3%73.1%<.001
Cytology sent36.0%39.0%.01

Subgroup and Regression Analysis

Among those patients with initial ICD-9 hematuria claim of unspecified hematuria, women experienced greater delays in time to diagnosis of bladder cancer (89.8 ± 99.7 days versus 76.5 ± 92.9 days, P < .001) and were more likely to have delays of 3 to 6 months, 6 to 9 months, and 9 to 12 months (P < .001) (Table 4). The data did not support a difference in either measure among those patients with initial ICD-9 hematuria claim of gross or microscopic hematuria.

Table 4. Analysis of Delay in Diagnosis by Hematuria International Classification of Diseases, Ninth Revision (ICD-9) Code
Hematuria ICD-9 CodeMen N (%)Women N (%)P
Unspecified4648 (71.0)1900 (29.0)<.001
Delay <3 mo, %73.966.8<.001
Delay 3-6 mo, %11.114.6 
Delay 6-9 mo, %7.48.4 
Delay 9-12 mo, %7.610.1 
Gross498 (74.8)168 (25.2).43
Delay <3 mo, %86.683.9.56
Delay 3-6 mo, %5.67.7 
Delay 6-9 mo, %4.03.0 
Delay 9-12 mo, %3.85.4 
Microscopic270 (62.1)165 (37.9).80
Delay < 3 mo, %74.477.0.53
Delay 3-6 mo, %14.410.3 
Delay 6-9 mo, %5.27.3 
Delay 9-12 mo, %5.95.5 

Univariate regression analysis assessing odds of >3 month, >6 month, and >9 month delay between presentation with hematuria and diagnosis of bladder cancer is summarized in Table 5. Across all time categories, gross hematuria predicted for decreased odds of an extended delay between presentation and diagnosis. In contrast, female sex, increasing CCI, increasing number of hematuria visits, and diagnosis of UTI were associated with a significantly increased likelihood of a delay in diagnosis of >3, >6, and >9 months. Metropolitan statistical area and region of the country did not significantly predict for a delay of any length. There was no clear pattern indicating the influence of year of visit on odds of extended delay.

Table 5. Regression Analysis Assessing Odds of Increased Delay Between Initial Hematuria Presentation and Diagnosis of Bladder Cancer
VariableUnivariateaMultivariateb
OR95% CIOR95% CI
  1. Abbreviations: CCI, Charlson Comorbidity Index score; ICD-9, International Classification of Diseases, Ninth Revision; OR, odds ratio; UTI, urinary tract infection.

  2. a

    Metropolitan statistical area, geographical region, and year of hematuria diagnosis also evaluated. No significant association.

  3. b

    Year of hematuria diagnosis also included in multivariate analysis to account for temporal changes in ICD-9 coding.

Delay >3 mo
Age0.9920.985-0.9990.9900.983-0.997
Female sex1.381.23-1.541.261.12-1.42
UTI claim2.412.15-2.711.971.74-2.22
No. of hematuria visits1.441.39-1.481.411.36-1.45
CCI1.141.08-1.201.141.07-1.21
Hematuria ICD-9    
Unspecified (reference)----
Gross0.410.33-0.520.460.36-0.58
Microscopic0.800.64-1.010.970.76-1.23
Delay >6 mo
Age0.9980.990-1.0050.9960.988-1.005
Female sex1.271.11-1.451.161.00-1.33
UTI claim2.322.03-2.661.921.66-2.21
No. of hematuria visits1.331.29-1.381.291.25-1.34
CCI1.131.06-1.211.111.03-1.19
Hematuria ICD-9    
Unspecified (reference)----
Gross0.460.34-0.610.510.38-0.69
Microscopic0.680.51-0.930.820.60-1.11
Delay >9 mo
Age0.9990.988-1.0100.9980.987-1.010
Female sex1.351.13-1.611.231.02-1.48
UTI claim2.221.86-2.651.791.49-2.16
No. of hematuria visits1.301.25-1.361.261.21-1.32
CCI1.101.01-1.201.060.97-1.17
Hematuria ICD-9    
Unspecified (reference)----
Gross0.490.33-0.730.560.38-0.84
Microscopic0.680.45-1.030.810.53-1.23

Female sex remained a significant predictor of a delay of >3 months, >6 months, and >9 months between hematuria claim and bladder cancer diagnosis (OR = 1.26, 95% CI = 1.12-1.42; OR = 1.16, 95% CI = 1.00-1.33; and OR = 1.23, 95% CI = 1.02-1.48, respectively) on multivariable regression analysis adjusted for age, UTI claim, number of hematuria visits, CCI, hematuria ICD-9 code, and year of diagnosis (Table 5). Gross hematuria remained the most protective variable against an extended delay (OR = 0.46, 95% CI = 0.36-0.58; OR = 0.51, 95% CI = 0.38-0.69; and OR = 0.56, 95% CI = 0.38-0.84 for >3, >6, and >9 months, respectively), whereas a UTI claim conferred the greatest odds of an extended delay (OR = 1.97, 95% CI = 1.74-2.22; OR = 1.92, 95% CI = 1.66-2.21; OR = 1.79, 95% CI = 1.49-2.16 for >3, >6, and >9 months, respectively). On adjusted linear regression analysis, female sex predicted for an additional delay of 7.3 days (95% CI = 2.9-11.7 days), and presence of a UTI claim was associated with an additional delay of 27.9 days (95% CI = 23.0-32.7 days).

DISCUSSION

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

This study evaluates sex-based differences in timing and clinical course from presentation with hematuria to diagnosis of bladder cancer. Our analysis of a large privately insured population suggests that, on average, the delay between presentation with hematuria and diagnosis is nearly 2 weeks longer for women than for men. In addition, women are more than 15% more likely than men to experience a delay in diagnosis of >6 months and approximately 25% more likely to experience a delay of >9 months. The results of our study are most concerning on 2 levels. First, given the well-described inferior survival outcomes for women with bladder cancer,[3-6, 8] and the impact of delayed diagnosis on survival,[12] prompt diagnosis of bladder cancer in women is exceedingly important. Second, whereas the data suggest we are disproportionately failing to avoid significant delays in diagnosis in women, approximately 1 in 7 men are also experiencing delays >6 months in diagnosis of bladder cancer.

The clinical sign of hematuria is not trivial, with up to one-third of patients with gross hematuria and a tenth of those with microscopic hematuria harboring bladder cancer.[19-23] Furthermore, whereas most patients have noninvasive urothelial cell carcinoma at diagnosis, up to 50% will have high-grade disease.[30] The 2012 AUA guidelines on the evaluation of asymptomatic microscopic hematuria in adults recommend cystoscopy in all patients older than 35 years of age and upper tract imaging in those without an obvious benign cause of hematuria.[24] Urinary cytology should be considered for those with persistent microhematuria after negative workup or those with risk factors for carcinoma in situ, including irritative voiding symptoms and history of tobacco use or chemical exposure.

In the review by Hollenbeck et al of the linked SEER-Medicare database, a delay in diagnosis of bladder cancer from diagnosis of hematuria of 6 to 9 months and >9 months resulted in a cancer-specific mortality hazard ratio (HR) of 1.19 (95% CI = 1.11-1.28) and 1.29 (95% CI = 1.14-1.45), respectively, when adjusted for stage and grade.[12] Herein, within a younger cohort, we noted that 7.8% of patients will experience a delay >9 months (9.4% in women versus 7.1% in men). Interestingly, Hollenbeck et al noted the strongest effect of delay on cancer-specific mortality was observed among those with low-grade (HR = 2.11, 95% CI = 1.69-2.64) and low-stage disease (HR = 2.02, 95% CI = 1.54-2.64). Thus, although the MarketScan database does not contain pathologic stage and grade information, it appears that a delay in diagnosis may remain relevant to cancer-specific survival even for the lowest risk patients.

In contrast to the study of Medicare beneficiaries by Hollenbeck and colleagues, our analysis of the MarketScan Database evaluates a population of privately insured individuals < 65 years of age. Across periods of delay, we identified only a very modest protective effect of age that maintained significance on adjusted analysis only against delay >3 months (but not >6 or >9 months). Furthermore, Lyratzopoulous et al, whose study contained men and women of any age, did not identify age as a significant predictor of delayed diagnosis.[17] Although this would suggest that the sex disparity observed within our younger study population would apply to an older population in which cancer is more common, further study in a larger cohort of older patients may be required.

The reasons for delay are likely multifactorial. Johnson and colleagues found in a claims-based study that only 47% of 559 men and 28% of 367 women presenting with hematuria were referred for urologic evaluation.[26] Similarly, Lyratzopoulous et al demonstrated that women ultimately diagnosed with bladder cancer were 2.29 (95% CI = 1.97-2.67) times as likely to undergo 3 or more primary care visits for hematuria prior to urologic referral,[17] whereas Nieder et al found that only a fraction of primary care physicians routinely refer patients to urology for hematuria.[27] Our data would suggest that prolonged workup and treatment of UTI over multiple visits for hematuria underlies the delay in cancer diagnosis and disparately affects women: a UTI billing claim was the single strongest independent predictor of delay in diagnosis of bladder cancer after initially presenting with hematuria (approximately doubled risk of extended delay), and women were significantly more likely to have a UTI claim (OR = 2.3). Henning et al documented a similar predilection toward workup and treatment of UTI in a multi-institutional study in which patients presenting for transurethral resection of bladder tumor were surveyed regarding their prediagnosis clinical course.[28] In addition to referral patterns, patient beliefs and compliance as well as access to care may also play a significant role in delayed diagnosis, but these factors have received limited study.

The reasons for the relatively modest differences in delay between men and women (mean difference of 12 days, adjusted increased odds of 15%-25% across all time periods) are likely multifactorial. First, although female sex conferred a risk of increased time from hematuria to diagnosis of bladder cancer, the mean time to diagnosis for men remained lengthy at 73.6 days. Therefore, the relative difference in delay is less pronounced. In addition, our study population is inclusive only of insured patients. It is possible that disparities would be more extensive in patients with poorer access to care.[18]

The focus of this study is delay in diagnosis; however, it is worthwhile to note that delays between diagnosis of bladder cancer and treatment have also been associated with increased mortality rates. Several articles have shown that patients experiencing delays >12 weeks between diagnosis of muscle-invasive disease and radical cystectomy have an increased mortality (HR = 1.6-2.1)[13, 14, 16] and worse pathologic outcomes (81%-84% extravesical or nodal disease versus 48%-52% organ-confined disease).[13, 15]

Our study has several limitations that deserve mention. Weaknesses of the MarketScan database are similar to that of other administrative databases, including errors of omission in claims, inability to collect important data on risk factors (eg, smoking history), and no data on outcomes such as bladder cancer stage and survival. In addition, MarketScan covers only insured patients (who have the highest access to care) and therefore may underestimate the delay between presentation with hematuria and diagnosis of bladder across all US patients. Lastly, MarketScan databases do not include patients older than 65 years of age. Although the guidelines clearly state that younger patients also merit a urological evaluation, increased age was associated with decreased risk of a greater than 3-month delay in diagnosis in our study. It is unclear to what extent the sex-based disparity in delay described herein would translate to an otherwise comparable but older study population.

Our investigation represents the first to quantify timing between presentation of hematuria and diagnosis of bladder cancer and the sex-specific clinical courses incurred during this delay. In our nationwide sample, approximately 1 in 6 women and 1 in 7 men were diagnosed with bladder cancer at >6 months from initial presentation with hematuria. This highlights a problem for all patients, and may prove a contributing factor for women's relatively adverse survival outcomes. Improved education and adherence to guidelines could greatly benefit our future patients.

FUNDING SUPPORT

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

This project was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health through Grant Number UL1 TR000430. The funding organization had no input with respect to study design, data collection, analysis/interpretation or data, preparation/review of the manuscript, or the decision regarding where to submit the manuscript.

CONFLICT OF INTEREST DISCLOSUREs

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES

Dr. Steinberg has worked as a consultant for Abbott Molecular, EndoPharmaceuticals, Taris Biomedical, Prometheus, Tengion, Bioniche, Photocure, Predictive Biosciences, and Covidien, and has received speaker fees from EndoPharmaceuticals and Photocure. All other authors made no disclosures.

REFERENCES

  1. Top of page
  2. Abstract
  3. INTRODUCTION
  4. MATERIALS AND METHODS
  5. RESULTS
  6. DISCUSSION
  7. FUNDING SUPPORT
  8. CONFLICT OF INTEREST DISCLOSUREs
  9. REFERENCES