Is It Time to Centralize Ovarian Cancer Care in the United States?

Trends in specific procedures performed at the time of cytoreduction for ovarian cancer: Is interval debulking surgery truly less radical? A Memorial Sloan Kettering Cancer Center Team Ovary study

OBJECTIVES

To evaluate procedures performed during primary debulking surgery (PDS) and interval debulking surgery (IDS) for ovarian cancer.

METHODS

Patients surgically treated at our institution for newly diagnosed stage IIIC/IV epithelial ovarian cancer between 6/1/2015-12/31/2021 were identified using a prospectively collected database. Patients were triaged to PDS or neoadjuvant chemotherapy (NACT) followed by IDS using an institutional algorithm. Data on specific procedures performed, including consultants called, were collected from operative and pathology reports. Appropriate statistical analyses were applied.

RESULTS

Overall, 467 patients underwent PDS and 434 underwent IDS; 76% (PDS) and 71% (IDS) of cases achieved complete gross resection. Comparing PDS vs IDS cohorts, median age was 63 years (range, 23-86) vs 67 years (range, 35-95), 79% vs 86% of patients had high-grade serous histology, and 38% vs 70% had stage IV disease. Most procedures (except ostomy, distal pancreatectomy) were more common during PDS (P < .05). Bowel surgery was performed during 65% of PDS and 33% of IDS, and upper abdominal surgery during 72% of PDS and 52% of IDS; both were more common during PDS (P < .001). Estimated blood loss (median, 500 mL [PDS] vs 300 mL [IDS]) and operative time (median, 362 min [PDS] vs 267 min [IDS]) were higher for PDS (P < .001). A consulting surgeon was utilized during 31% of PDS and 18% of IDS, with hepatopancreaticobiliary as the most commonly called service (61% and 65%, respectively).

CONCLUSIONS

In our study of patients with advanced-stage ovarian cancer, while most procedures were more often performed during PDS, NACT did not obviate the need for radical surgical resection. Thus, advanced surgical skills remain essential.

Short-term survival analysis of a risk-adjusted model for ovarian cancer care

OBJECTIVE

To quantify the impact on short-term ovarian cancer survival associated with treatment at high-performing hospitals using the observed-to-expected ratio (O/E) for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care.

METHODS

This was a retrospective population-based study of stage I-IV invasive epithelial ovarian cancer reported to California Cancer Registry 1996-2017. A fit logistic regression model, risk-adjusted for patient and disease characteristics, was used to calculate O/E for each hospital stratified by hospital annual case volume. Cox proportional hazards model was used for survival analyses at 3, 6, 12, 24 months and stratified according to sociodemographic characteristics.

RESULTS

The study population included 35,725 subjects treated at 443 hospitals: Low-O/E - 26.4% of cases; Intermediate-O/E - 55.5% of cases; and High-O/E - 18.1% of cases. Overall median survival by hospital category was: High-O/E = 72.5 months (95% CI = 68.6-78.6 months), Intermediate-O/E = 68.6 months (95% CI = 65.9-71.6 months), Low-O/E = 47.0 months (95% CI = 44.2-49.2 months). Initial treatment at a High-O/E hospital (HR = 1.00) was a statistically significant and independent predictor of improved short-term survival compared to Low-O/E hospitals at 3 months (HR = 1.46, 95% CI = 1.29-1.65), 6 months (HR = 1.35, 95% CI = 1.22-1.50), 12 months (HR = 1.27, 95% CI = 1.17-1.38), and 24 months (HR = 1.19, 95% CI = 1.11-1.27). Significant and independent associations between improved sort-term survival and High/O/E care were observed for Whites, Hispanics, Asian/Pacific Islanders (A/PI), across SES strata, and among all payer categories.

CONCLUSION

Ovarian cancer care at a High-O/E hospital is an independent predictor of improved outcome and the survival advantage is disproportionately weighted toward the short-term time horizon following diagnosis.

Quality of surgery and treatment and its association with hospital volume: A population-based study in more than 5000 Belgian ovarian cancer patients

BACKGROUND

Different sets of quality indicators are used to identify areas for improvement in ovarian cancer care. This study reports transparently on how (surgical) indicators were measured and on the association between hospital volume and indicator results in Belgium, a country setting without any centralisation of ovarian cancer care.

METHODS

From the population-based Belgian Cancer Registry, patients with a borderline malignant or invasive epithelial ovarian tumour diagnosed between 2014 and 2018 were selected and linked to health insurance and vital status data (n = 5119). Thirteen quality indicators on diagnosis and treatment were assessed and the association with hospital volume was analysed using logistic regression adjusted for case-mix.

RESULTS

The national results for most quality indicators on diagnosis and systemic therapy were around the predefined target value. Other indicators showed results below the benchmark: genetic testing, completeness of staging surgery, lymphadenectomy with at least 20 pelvic/para-aortic lymph nodes removed, and timely start of chemotherapy after surgery (within 42 days). Ovarian cancer care in Belgium is dispersed over 100 hospitals. Lower volume hospitals showed poorer indicator results compared to higher volume hospitals for lymphadenectomy, staging, timely start of chemotherapy and genetic testing. In addition, surgery for advanced stage tumours was performed less often in lower volume hospitals.

CONCLUSIONS

The indicators that showed poorer results on a national level were also those with poorer results in lower-volume hospitals compared to higher-volume hospitals, consequently supporting centralisation. International benchmarking is hampered by different (surgical) definitions between countries and studies.

Impact of 2 years of COVID-19 pandemic on ovarian cancer treatment in IRCCS-AUSL of Reggio Emilia

OBJECTIVE

To assess compliance with the 2019 regional recommendation to centralize epithelial ovarian cancer (EOC) patients and to assess whether the COVID-19 pandemic has affected the quality of care for EOC patients.

METHODS

We compared data from EOC patients treated before the introduction of the 2019 regional recommendation (2018-2019) with data obtained from EOC patients treated after the regional recommendation was adopted during the first 2 years of the COVID-19 pandemic (2020-2021). Data were retrieved from the Optimal Ovarian Cancer Pathway records. R software version 4.1.2 (the R Foundation for Statistical Computing, Vienna, Austria) was used for the statistical analysis.

RESULTS

251 EOC patients were centralized. The number of EOC patients centralized increased from 2% to 49% despite the COVID-19 pandemic. During the COVID-19 pandemic, there was an increase in the use of neoadjuvant chemotherapy and interval debulking surgery. There was an improvement in the percentage of Stage III patients without gross residual disease following both primary and interval debulking surgery. The percentage of EOC cases discussed by the multidisciplinary tumor board (MTB) increased from 66% to 89% of cases.

CONCLUSION

Despite the COVID-19 pandemic, centralization has increased and the quality of care has been preserved thanks to the MTB.

Role of neighborhood context in ovarian cancer survival disparities: current research and future directions

Ovarian cancer is the fifth leading cause of cancer-associated mortality among US women with survival disparities seen across race, ethnicity, and socioeconomic status, even after accounting for histology, stage, treatment, and other clinical factors. Neighborhood context can play an important role in ovarian cancer survival, and, to the extent to which minority racial and ethnic groups and populations of lower socioeconomic status are more likely to be segregated into neighborhoods with lower quality social, built, and physical environment, these contextual factors may be a critical component of ovarian cancer survival disparities. Understanding factors associated with ovarian cancer outcome disparities will allow clinicians to identify patients at risk for worse outcomes and point to measures, such as social support programs or transportation aid, that can help to ameliorate such disparities. However, research on the impact of neighborhood contextual factors in ovarian cancer survival and in disparities in ovarian cancer survival is limited. This commentary focuses on the following neighborhood contextual domains: structural and institutional context, social context, physical context represented by environmental exposures, built environment, rurality, and healthcare access. The research conducted to date is presented and clinical implications and recommendations for future interventions and studies to address disparities in ovarian cancer outcomes are proposed.

Adjuvant treatment of surgically treated bone metastasis patients: association with hospital characteristics and trends over time

Patients with metastatic disease of the bone (MDB) often require surgical stabilization; however, there is not widespread consensus on subsequent adjuvant management. This study aimed to characterize utilization of perioperative adjuvant treatment among MDB patients. We identified 9413 surgically treated MDB patients with primary (breast, kidney, lung, prostate, or multiple myeloma) cancer from Surveillance, Epidemiology, and End Results (SEER)-Medicare data. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for receipt of chemotherapy, radiation, and bisphosphonates, respectively, in the adjuvant setting (90 days before or after surgery) by hospital characteristics-medical school affiliation, surgery volume, and Commission on Cancer (CoC) accreditation. Trends in treatment utilization by year of surgery were assessed via bar charts and Chi-square tests for trend. Patients surgically treated at major medical schools or high-volume facilities (compared to no medical school affiliation and low volume) had significantly higher odds of receiving radiation and chemotherapy, independent of patient and tumor characteristics (OR (95% CI); medical school: radiation 1.33 (1.19-1.49), chemotherapy 1.15 (1.02-1.30); and high volume: radiation 1.22 (1.11-1.34), chemotherapy 1.11 (1.02-1.22)). Patients surgically treated at CoC-accredited institutions, compared to non-accredited, had significantly higher odds of receiving radiation and bisphosphonates [radiation 1.24 (1.13-1.36); bisphosphonates 1.15 (1.04-1.28)]. Use of chemotherapy and bisphosphonates increased while radiation use declined over the study period from 1991 to 2014. Medical school affiliation, hospital volume, and CoC accreditation are associated with receipt of adjuvant treatment to prevent or manage pathologic fractures in MDB patients. Further investigation is needed to determine whether these associations reflect delivery of optimal care.

Understanding the Influence of Hospital Volume on Inpatient Outcomes Following Hospitalization for Status Epilepticus

BACKGROUND

Prior studies show hospital admission volume to be associated with poor outcomes following elective procedures and inpatient medical hospitalizations. However, it is unknown whether hospital volume impacts Inpatient outcomes for status epilepticus (SE) hospitalizations. In this study, we aimed to assess the impact of hospital volume on the outcome of patients with SE and related inpatient medical complications.

METHODS

The 2005 to 2013 National Inpatient Sample database was queried using International Classification of Diseases 9th Edition diagnosis code 345.3 to identify patients undergoing acute hospitalization for SE. The National Inpatient Sample hospital identifier was used as a unique facility identifier to calculate the average volume of patients with SE seen in a year. The study cohort was divided into three groups: low volume (0-7 patients with SE per year), medium volume (8-22 patients with SE per year), and high volume (> 22 patients with SE per year). Multivariate logistic regression analyses were used to assess whether medium or high hospital volume had lower rates of inpatient medical complications compared with low-volume hospitals.

RESULTS

A total of 137,410 patients with SE were included in the analysis. Most patients (n = 50,939; 37%) were treated in a low-volume hospital, 31% (n = 42,724) were treated in a medium-volume facility, and 18% (n = 25,207) were treated in a high-volume hospital. Patients undergoing treatment at medium-volume hospitals (vs. low-volume hospitals) had higher odds of pulmonary complications (odds ratio [OR] 1.18 [95% confidence interval {CI} 1.12-1.25]; p < 0.001), sepsis (OR 1.24 [95% CI 1.08-1.43] p = 0.002), and length of stay (OR 1.13 [95% CI 1.0 -1.19] p < 0.001). High-volume hospitals had significantly higher odds of urinary tract infections (OR 1.21 [95% CI 1.11-1.33] p < 0.001), pulmonary complications (OR 1.19 [95% CI 1.10-1.28], p < 0.001), thrombosis (OR 2.13 [95% CI 1.44-3.14], p < 0.001), and renal complications (OR 1.21 [95% CI 1.07-1.37], p = 0.002). In addition, high-volume hospitals had lower odds of metabolic (OR 0.81 [95% CI 0.72-0.91], p < 0.001), neurological complications (OR 0.80 [95% CI 0.69-0.93], p = 0.004), and disposition to a facility (OR 0.89 [95% CI 0.82-0.96], p < 0.001) compared with lower-volume hospitals.

CONCLUSIONS

Our study demonstrates certain associations between hospital volume and outcomes for SE hospitalizations. Further studies using more granular data about the type, severity, and duration of SE and types of treatment are warranted to better understand how hospital volume may impact care and prognosis of patients.

Real-world compliance with the 2020 U.S. Multi-Society Task Force on Colorectal Cancer polypectomy surveillance guidelines: an observational study

BACKGROUND AND AIMS

Overuse of screening colonoscopy increases cost and procedural adverse events, but inadequate surveillance can miss the development of colorectal cancer. We measured compliance with the 2020 U.S. Multi-Society Task Force on Colorectal Cancer (USMSTF) polypectomy surveillance guidelines in clinical records and a survey.

METHODS

We performed a retrospective study comparing surveillance intervals for first-time average-risk colonoscopies with the 2020 USMSTF guidelines. Cases were analyzed from 3 intervals (March 2021 to May 2021, November 2021 to January 2022, and April 2022 to May 2022), collectively termed the postguideline period, and a baseline period from November 2019 to January 2020. Real-world compliance rates were compared with results of a survey conducted between November 2020 and February 2021.

RESULTS

Overall compliance was 48.9% among 532 colonoscopies, ranging from 8.3% for low-risk adenomas (LRAs), 88.3% for high-risk adenomas, 63.1% for sessile serrated polyps (SSPs), and 88.6% for hyperplastic polyps. Compliance for LRA increased from the baseline period (.8% vs 8.3%, P = .003), and 95.3% of nonadherent LRA cases followed the 2012 USMSTF guidelines. Compliance for LRAs was 18.6% among respondents who provided a compliant surveillance interval for LRAs in the survey. Noncompliance was associated with finishing training >10 years ago (odds ratio, 1.9; 95% confidence interval, 1.4-2.7) and performing over 800 colonoscopies annually (odds ratio, 2.0; 95% confidence interval, 1.5-2.6).

CONCLUSIONS

Adoption of the 2020 USMSTF surveillance guidelines remains low at 2 years. Further research into outcomes for patients with LRAs and SSPs may increase guideline adoption.

Community access to primary care is an important geographic disparity among ovarian cancer patients undergoing cytoreductive surgery

Objective

Given the importance of understanding neighborhood context and geographic access to care on individual health outcomes, we sought to investigate the association of community primary care (PC) access on postoperative outcomes and survival in ovarian cancer patients.

Methods

This was a retrospective cohort study of Stage III-IV ovarian cancer patients who underwent surgery at a single academic, tertiary care hospital between 2012 and 2015. PC access was determined using a Health Resources and Services Administration designation. Outcomes included 30-day surgical and medical complications, extended hospital stay, ICU admission, hospital readmission, progression-free and overall survival. Descriptive statistics and chi-squared analyses were used to analyze differences between patients from PC-shortage vs not PC-shortage areas.

Results

Among 217 ovarian cancer patients, 54.4 % lived in PC-shortage areas. They were more likely to have Medicaid or no insurance and live in rural areas with higher poverty rates, significantly further from the treating cancer center and its affiliated hospital. Nevertheless, 49.2 % of patients from PC-shortage areas lived in urban communities. Residing in a PC-shortage area was not associated with increased surgical or medical complications, ICU admission, or hospital readmission, but was linked to more frequent prolonged hospitalization (26.3 % vs 14.1 %, p = 0.04). PC-shortage did not impact progression-free or overall survival.

Conclusions

Patients from PC-shortage areas may require longer inpatient perioperative care in order to achieve the same 30-day postoperative outcomes as patients who live in non-PC shortage areas. Community access to PC is a critical factor to better understanding and reducing disparities among ovarian cancer patients.

CT of Ovarian Cancer for Primary Treatment Planning: What the Surgeon Needs to Know-Radiology In Training

A 60-year-old woman presented with intermittent abdominal pain, an elevated serum CA-125 level, and an abnormal CT examination and was ultimately diagnosed with advanced-stage high-grade serous ovarian cancer. Key tumor locations on CT scans that should be highlighted by the radiologist to guide treatment selection are discussed.

Collaborative centralization of gynaecological cancer care

PURPOSE OF REVIEW

To discuss the benefits of centralization of gynaecological cancer care on patients and the healthcare system and how to overcome its barriers.

RECENT FINDINGS

Evidence demonstrates that adherence to clinical practice management guidelines is more likely; the risk of adverse events is lower; survival is improved; in young women fertility preservation is higher; and cost effectiveness is higher; in systems that employ centralized care for women with gynaecological cancer. Barriers to the uptake of centralized models include knowledge, attitude as well as deficient systems and processes, including a lack of governance and leadership. Collaborative centralization refers to a model that sees both elements (centralization and treatment closer to home) utilized at the patient level that addresses some of the barriers of centralized gynaecological cancer care.

SUMMARY

Evidence supports centralized gynaecological cancer care, as it results in reduced risks of adverse events, improved survival and higher fertility rates at lower cost to funders. Collaborative centralization is a process that considers both the value of centralization and collaboration amongst healthcare professionals at primary, secondary and tertiary levels of healthcare to benefit patient outcomes.

The Influence of Hospital Characteristics on Patient Survival in Surgically Managed Metastatic Disease of Bone: An Analysis of the SEER-Medicare Linked Database

OBJECTIVES

We investigated whether patients receiving surgical treatment for metastatic disease of bone (MDB) at hospitals with higher volume, medical school affiliation, or Commission on Cancer accreditation have superior outcomes.

MATERIALS AND METHODS

Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified 9413 patients surgically treated for extremity MDB between 1992 and 2014 at the age of 66 years or older. Cox proportional hazards models were used to calculate the hazards ratios (HR) for 90-day and 1-year mortality and 30-day readmission according to the characteristics of the hospital where bone surgery was performed.

RESULTS

We observed no notable differences in 90-day mortality, 1-year mortality, or 30-day readmission associated with hospital volume. Major medical school affiliation was associated with lower 90-day (HR: 0.88, 95% confidence interval [CI]: 0.80-0.96) and 1-year (HR: 0.92, 95% CI: 0.87-0.99) mortality after adjustments for demographic and tumor characteristics. Surgical treatment at Commission on Cancer accredited hospitals was associated with significantly higher risk of death at 90 days and 1 year after the surgery. This effect appeared to be driven by lung cancer patients (1-year HR: 1.17, 95% CI: 1.07-1.27).

CONCLUSIONS

Our findings suggest surgical management of MDB at lower-volume hospitals does not compromise survival or readmissions. There may be benefit to referral or consultation with an academic medical center in some tumor types or clinical scenarios.

What underlies the observed hospital volume-outcome relationship?

Background

Studies of the hospital volume-outcome relationship have highlighted that a greater volume activity improves patient outcomes. While this finding has been known for years, most studies to date have failed to delve into what underlies this relationship.

Objective

This study aimed to shed light on the basis of the hospital volume effect on patient outcomes by comparing treatment modalities for epithelial ovarian carcinoma patients.

Data

An exhaustive dataset of 355 patients in first-line treatment for Epithelial Ovarian Carcinoma (EOC) in 2012 in three regions of France was used. These regions account for 15% of the metropolitan French population.

Methods

In the presence of endogeneity induced by a reverse causality between hospital volume and patient outcomes, we used an instrumental variable approach. Hospital volume of activity was instrumented by the distance from patients’ homes to their hospital, the population density, and the median net income of patient municipalities.

Results

Based on our parameter estimates, we found that the rate of complete tumor resection would increase by 15.5 percentage points with centralized care, and by 8.3 percentage points if treatment decisions were coordinated by high-volume centers compared to decentralized care.

Conclusion

As volume alone is an imperfect correlate of quality, policy-makers need to know what volume is a proxy for in order to devise volume-based policies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07449-2.

Prise en charge chirurgicale du cancer épithélial de l'ovaire - première ligne et première rechute: Surgical management of epithelial ovarian cancer - first line and first relapse

Based on recently published data, these recommendations present some evolutions in the surgical management of high grade epithelial ovarian cancers. In apparently early stages (FIGO I and II), surgical staging must be undertaken to confirm the absence of both peritoneal lesions and lymph node involvement (that might change stage and management). Neoadjuvant chemotherapy is not indicated, surgical exploration should be performed upfront, by laparotomy, to reduce the risk of rupture of the primary tumor. In advanced stages, the first step is to evaluate the feasibility of primary surgery with complete tumor cytoreduction. If it appears unfeasible, 3 or 4 cycles of neoadjuvant chemotherapy are administered before interval surgey. Whether it is implemented in the primary or interval setting, surgery must be performed by experimented teams, in an approved facility, having developed a rehabilitation program. Lymph node dissection is not mandatory if no adenopathies have been identified by imaging and by peroperative palpation. At first relapse, the surgical decision must be made by a multidisciplinary team, using scores predictive of complete cytoreduction (AGO or iMODEL criteria). Similarly as in first line, the objective is to achieve resection without any residual disease. Surveillance after first-line treatment must be adapted, according to the probability of another complete cytoreduction in case of late relapse, especially in patients who benefited from primary complete surgery and maintained good performance status.

How much does the hospital stay for infusion of anti-CD19 CAR-T cells cost to the French National Health Insurance?

Chimeric antigen receptor T-cells (CAR-T cells) have the potential to be a major innovation as a new type of cancer treatment, but are associated with extremely high prices and a high level of uncertainty. This study aims to assess the cost of the hospital stay for the administration of anti-CD19 CAR-T cells in France. Data were collected from the French Medical Information Systems Program (PMSI) and all hospital stays associated with an administrated drug encoded 9439938 (tisagenlecleucel, Kymriah®) or 9440456 (axicabtagene ciloleucel, Yescarta®) between January 2019 and December 2020 were included. 485 hospital stays associated with an injection of anti-CD19 CAR-T cells were identified, of which 44 (9%), 139 (28.7%), and 302 (62.3%) were for tisagenlecleucel in acute lymphoblastic leukaemia (ALL), tisagenlecleucel in diffuse large B-cell lymphoma (DLBCL), and axicabtagene ciloleucel respectively. The lengths of the stays were 37.9, 23.8, and 25.9 days for tisagenlecleucel in ALL, tisagenlecleucel in DLBCL, and axicabtagene ciloleucel, respectively. The mean costs per hospital stay were € 372,400 for a tisagenlecleucel in ALL, € 342,903 for tisagenlecleucel in DLBCL, and € 366,562 for axicabtagene ciloleucel. CAR T-cells represented more than 80% of these costs. n=13 hospitals performed CAR-T cell injections, with two hospitals accounting for more than 50% of the total number of injections. This study provides original data in a context of limited information regarding the costs of hospitalization for patients undergoing CAR-T cell treatments. In addition to the financial burden, distance may also be an important barrier for accessing CAR T-cell treatment.

Potential Strategies to Increase Gynecologic Oncologist Treatment for Ovarian Cancer

Evidence shows that treatment by gynecologic oncologists (GOs) increases overall survival among women with ovarian cancer. However, specific strategies for institutions and community-based public health programs to promote treatment by GOs are lacking. To address this, we conducted a literature review to identify evidence-based and promising system- and environmental-change strategies for increasing treatment by GOs, in effort to ensure that all women with ovarian cancer receive the standard of care. We searched for English-language literature published from 2008 to 2018. We used PubMed, PubMed Central, OVID, and EBSCO for peer-reviewed literature and Google and Google Scholar for gray literature related to increasing receipt of care by GOs among ovarian cancer patients. Numerous suggested and proposed strategies that have potential to increase treatment by GOs were discussed in several articles. We grouped these approaches into five strategic categories: increasing knowledge/awareness of role and importance of GOs, improving models of care, improving payment structures, improving/increasing insurance coverage for GO care, and expanding or enhancing the GO workforce. We identified several strategies with the potential for increasing GO care among ovarian cancer patients, although currently there is little evidence regarding their effectiveness across US populations. Public health programs and entities that measure delivery of quality health care may pilot the strategies in their populations. Certain strategies may work better in certain environments and a combination of strategies may be necessary for any one entity to increase GO ovarian cancer care. Findings, lessons learned, and recommendations from implementation projects would inform community and public health practice.

Fragmentation of surgery and chemotherapy in the initial phase of ovarian cancer care and its association with overall survival

BACKGROUND

Fragmentation occurs when a patient receives care at more than one hospital, and the long-term effects in ovarian cancer are unknown. We examined the association between fragmentation of primary debulking surgery (PDS) and adjuvant chemotherapy (AC) and overall survival (OS).

METHODS

The National Cancer Database was used to identify women with stage II-IV epithelial ovarian cancer between 2004 and 2016 who underwent PDS followed by AC. Fragmentation was defined as receipt of AC at a different institution than where PDS was performed. After propensity score weighting, proportional hazard models were developed to estimate the association between fragmented care and OS.

RESULTS

Of the 36,300 patients identified, 13,347 (36.8%) had fragmented care. Patient factors associated with fragmentation included older age, higher income, and longer travel distance for PDS; hospital factors included PDS performed at a community center or a facility with lower annual surgical volume (P < 0.05, all). Fragmentation was associated with a 15% risk of 30-day delay to AC (aRR 1.15, 95% CI 1.09-1.22). In a propensity scoring weighted analysis, mortality was reduced when AC was fragmented (HR 0.95, 95% CI 0.92-0.97). Sensitivity analyses indicated fragmentation was associated with improved survival in metropolitan residents. Stratified analyses indicated patients who traveled 50 miles or more with PDS and AC at the same institution had the worst OS.

CONCLUSION

Fragmentation of PDS and AC has no adverse effects on long-term survival. Survival outcomes were worst for those who received care at the same institution 50 miles or more away.

Virus-Mimicking Nanoparticles for Targeted Near Infrared Fluorescence Imaging of Intraperitoneal Ovarian Tumors in Mice

Ovarian cancer is the most lethal malignancy affecting the female reproductive system. Identification and removal of all ovarian intraperitoneal tumor deposits during the intraoperative surgery is important towards preventing cancer recurrence and ultimately improving patient survival. Herein, we investigate the effectiveness of virus mimicking nanoparticles, derived from genome-depleted plant-infecting brome mosaic virus, and doped with near infrared (NIR) brominated cyanine dye BrCy106-NHS, for targeted NIR fluorescence imaging of intraperitoneal ovarian tumors. We refer to these nanoparticles as optical viral ghosts (OVGs). We functionalized the OVGs with antibodies against HER2 receptor, a biomarker over-expressed in ovarian cancers. We injected functionalized OVGs, non-functionalized OVGs, and non-encapsulated BrCy106-NHS intravenously in mice implanted with ovarian intraperitoneal tumors. Tumors were extracted at 2, 6, and 24 h post-injection, and quantitatively analyzed using NIR fluorescence imaging. Fluorescence emission from tumors associated with the injection of the functionalized OVGs continued to increase between 2 and 24 h post-injection. At 24 h timepoint, the average spectrally-integrated fluorescence emission from homogenized tumors containing functionalized-OVGs was about 3.5 and 19.5 times higher than those containing non-functionalized OVGs or non-encapsulated BrCy106-NHS, respectively. Similarly, by using the functionalized-OVGs, the imaging signal-to-noise ratio at 24 h timepoint was enhanced by approximately threefold and sevenfold as compared to non-functionalized OVGs and the non-encapsulated dye, respectively. These functionalized virus-mimicking NIR nano-constructs could potentially be used for intraoperative visualization of ovarian tumors implants.

Advanced ovarian cancer and cytoreductive surgery: Independent validation of a risk-calculator for perioperative adverse events

OBJECTIVE

To independently validate a published risk-calculator for adverse perioperative outcomes in patients with epithelial ovarian cancer undergoing debulking surgery at a high-volume surgical center.

METHODS

Using our institution's curated prospective ovarian cancer database, we identified patients with epithelial ovarian cancer who underwent a debulking procedure from 7/2015 to 5/2019, to be used as the validation cohort. Variables used in the published nomogram were collected. These included American Society of Anesthesiology classification, preoperative albumin, history of bleeding disorder, presence of ascites on preoperative imaging, designation of elective or emergent surgery, age of the patient, and a procedure score. Patients were included if they had information available for all the variables used in the nomogram, and 30-day follow-up within our institution. The primary outcome was Clavien-Dindo Class IV with specific conditions (postoperative sepsis, septic shock, cardiac arrest, myocardial infarction, pulmonary embolism, ventilation >48 h, or unplanned intubation) and 30-day mortality. The combination of these endpoints is called the combined complication rate.

RESULTS

A total of 700 patients who underwent debulking surgery for epithelial ovarian cancer during the timeframe met inclusion criteria. The combined complication rate was 11.7%; 9.9% of patients were readmitted; 2.7% required reoperation. Sepsis was the most common primary endpoint complication (4.4%), followed by septic shock (1.4%). There was no 30-day mortality in our cohort. The nomogram performed well, with a c index of 0.715 (95% CI 0.66-0.768), which was comparable to the published nomogram.

CONCLUSIONS

We independently validated a complication nomogram at a high-volume surgical center. This nomogram performs well at predicting a lower likelihood of serious postoperative complications. An enhanced nomogram would help identify patients at higher risk for serious complications.

Impact of provider volume on front-line chemotherapy guideline compliance and overall survival in elderly patients with advanced ovarian cancer

PURPOSE

We sought to evaluate whether provider volume or other factors are associated with chemotherapy guideline compliance in elderly patients with epithelial ovarian cancer (EOC).

METHODS

We queried the SEER-Medicare database for patients ≥66 years, diagnosed with FIGO stage II-IV EOC from 2004 to 2013 who underwent surgery and received chemotherapy within 7 months of diagnosis. We compared NCCN guideline compliance (6 cycles of platinum-based doublet) and chemotherapy-related toxicities across provider volume tertiles. Factors associated with guideline compliance and chemotherapy-related toxicities were assessed using logistic regression. Overall survival (OS) was compared across volume tertiles and Cox proportional-hazards model was created to adjust for case-mix.

RESULTS

1924 patients met inclusion criteria. The overall rate of guideline compliance was 70.3% with a significant association between provider volume and compliance (64.5% for low-volume, 72.2% for medium-volume, 71.7% for high-volume, p = .02). In the multivariate model, treatment by low-volume providers and patient age ≥ 80 years were independently associated with worse chemotherapy-guideline compliance. In the survival analysis, there was a significant difference in median OS across provider volume tertiles with median survival of 32.8 months (95%CI 29.6, 36.4) low-volume, 41.9 months (95%CI 37.5, 46.7) medium-volume, 42.1 months (95%CI 38.8, 44.2) high-volume providers, respectively (p < .01). After adjusting for case-mix, low-volume providers were independently associated with higher rates of mortality (aHR 1.25, 95%CI: 1.08, 1.43).

CONCLUSIONS

In a modern cohort of elderly Medicare patients with advanced EOC, we found higher rates of non-compliant care and worse survival associated with treatment by low-volume Medicare providers. Urgent efforts are needed to address this volume-outcomes disparity.

Ovarian cancer in California: Guideline adherence, survival, and the impact of geographic location, 1996-2014

BACKGROUND

Evidence suggests that geographic location may independently contribute to ovarian cancer survival. We aimed to investigate how the association between residential location and ovarian cancer-specific survival in California varies by race/ethnicity and socioeconomic status.

METHODS

Additive Cox proportional hazard models were used to predict hazard ratios (HRs) and 95% confidence intervals (CI) for the association between geographic location throughout California and survival among 29,844 women diagnosed with epithelial ovarian cancer between 1996 and 2014. We conducted permutation tests to determine a global P-value for significance of location. Adjusted analyses considered distance traveled for care, distance to closest high-quality-of-care hospital, and receipt of National Comprehensive Cancer Network guideline care. Models were also stratified by stage, race/ethnicity, and socioeconomic status.

RESULTS

Location was significant in unadjusted models (P = 0.009 among all stages) but not in adjusted models (P = 0.20). HRs ranged from 0.81 (95% CI: 0.70, 0.93) in Southern Central Valley to 1.41 (95% CI: 1.15, 1.73) in Northern California but were attenuated after adjustment (maximum HR = 1.17, 95% CI: 1.08, 1.27). Better survival was generally observed for patients traveling longer distances for care. Associations between survival and proximity to closest high-quality-of-care hospitals were null except for women of lowest socioeconomic status living furthest away (HR = 1.22, 95% CI: 1.03, 1.43).

CONCLUSIONS

Overall, geographic variations observed in ovarian cancer-specific survival were due to important predictors such as receiving guideline-adherent care. Improving access to expert care and ensuring receipt of guideline-adherent treatment should be priorities in optimizing ovarian cancer survival.

Impact of multidisciplinary tumour board in the management of ovarian carcinoma in the first-line setting. Exhaustive analysis from the Rhone-Alpes region

OBJECTIVE

Epithelial ovarian cancer (EOC) is a poor prognosis disease partly linked to diagnosis at an advanced stage. The quality of care management is a factor that needs to be explored, more specifically optimal organisation of first-line treatment.

METHODS

A retrospective study, dealing with all patients diagnosed within the Rhone-Alpes region with initial diagnosis EOC in 2012, was performed. The aim was to describe the impact of multidisciplinary tumour boards (MTB) in the organisation of care and the consequence on the patient's outcomes.

RESULTS

271 EOC were analysed. 206 patients had an advanced EOC. Median progression-free survival (PFS) is 17.8 months (CI95%, 14.6-21.2) for AOC. 157 patients (57.9%) had a front-line surgery versus 114 patients (42.1%) interval debulking surgery. PFS for AOC patients with no residual disease is 24.3 months compared with 15.3 months for patients with residual disease (p = .01). No macroscopic residual disease is more frequent in the patients discussed before surgery in MTB compared with patients not submitted before surgery (73% vs. 56.2%, p < .001).

CONCLUSION

These results highlight the heterogeneity of medical practices in terms of front-line surgery versus interval surgery, in the administration of neoadjuvant chemotherapy and in the setting of MTB discussion.

Centralization of care in high volume hospitals and inequalities in access to care

In 2018, the French National Health Insurance proposed to increase the minimum volume threshold for breast cancer and to set a specific threshold for ovarian cancer in order to get an authorization to treat these patients. Using an exhaustive nationwide data set, the aim of this study is to evaluate the impact of the application of minimum volume thresholds for breast cancer and ovarian cancer in France on socioeconomic and spatial inequalities in patient access to care, taking into account patient preferences for their preferred provider. Our findings indicate that it would increase spatial inequalities and introduce socioeconomic inequalities in access to specialized care in terms of travel distance and will contribute to the medical desertification in rural areas that already have less access to non-specialized care. Our results underline that ignoring patient preferences when assessing the impact of such policies drastically underestimate the deterioration in patient access to care.

Contribution of Geographic Location to Disparities in Ovarian Cancer Treatment

BACKGROUND

More than 14,000 women in the United States die of ovarian cancer (OC) every year. Disparities in survival have been observed by race and socioeconomic status (SES), and vary spatially even after adjusting for treatment received. This study aimed to determine the impact of geographic location on receiving treatment adherent to the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for OC, independent of other predictors.

PATIENTS AND METHODS

Women diagnosed with all stages of epithelial OC (1996-2014) were identified through the California Cancer Registry. Generalized additive models, smoothing for residential location, were used to calculate adjusted odds ratios (ORs) and 95% CIs for receiving nonadherent care throughout California. We assessed the impact of distance traveled for care, distance to closest high-quality hospital, race/ethnicity, and SES on receipt of quality care, adjusting for demographic and cancer characteristics and stratifying by disease stage.

RESULTS

Of 29,844 patients with OC, 11,419 (38.3%) received guideline-adherent care. ORs for nonadherent care were lower in northern California and higher in Kern and Los Angeles counties. Magnitudes of associations with location varied by stage (OR range, 0.45-2.19). Living farther from a high-quality hospital increased the odds of receiving nonadherent care (OR, 1.18; 95% CI, 1.07-1.29), but travel >32 km to receive care was associated with decreased odds (OR, 0.76; 95% CI, 0.70-0.84). American Indian/other women were more likely to travel greater distances to receive care. Women in the highest SES quintile, those with Medicare insurance, and women of non-Hispanic black race were less likely to travel far. Patients who were Asian/Pacific Islander lived the closest to a high-quality hospital.

CONCLUSIONS

Among California women diagnosed with OC, living closer to a high-quality center was associated with receiving adherent care. Non-Hispanic black women were less likely to receive adherent care, and women with lower SES lived farthest from high-quality hospitals. Geographic location in California is an independent predictor of adherence to NCCN Guidelines for OC.

Risk factors for early death among ovarian cancer patients: a nationwide cohort study

Objective

To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths.

Methods

A nationwide cohort study covering ovarian cancer in Denmark in 2005–2016. Tumor and patient characteristics including comorbidity and socioeconomic factors were obtained from the comprehensive Danish national registers.

Results

A total of 5,570 patients were included in the study. Three months after ovarian cancer diagnosis 456 (8.2%) had died and 664 (11.9%) died within 6 months of diagnosis. Adjusted for age and comorbidity, patients who died early were admitted to hospital significantly more often in a 6-month period before the diagnosis (odds ratio [OR]=1.61 [1.29–2.00], and OR=1.47 [1.21–1.78]), for patients who died within 3 and 6 months respectively). Low educational level (OR=2.11), low income (OR=2.50) and singlehood (OR=1.90) were factors significantly associated with higher risk of early death. The discriminative ability of risk factors in identifying early death was assessed by cross-validated area under the receiver operating characteristic curve (AUC). The AUC was found to be 0.91 (0.88–0.93) and 0.90 (0.87–0.92) for death within 3 and 6 months, respectively.

Conclusions

Despite several admissions to hospital, the ovarian cancer diagnosis is delayed for a subgroup of patients, who end up dying early, probably due to physical deterioration in the ineffective waiting time. Up to 90% of high-risk patients might be identified significantly earlier to improve the prognosis. The admittance of the patients having risk symptoms should include fast track investigation for ovarian cancer.

A Risk-Adjusted Model for Ovarian Cancer Care and Disparities in Access to High-Performing Hospitals

OBJECTIVE

To validate the observed/expected ratio for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care, and to identify patient characteristics associated with disparities in access to high-performing hospitals.

METHODS

This was a retrospective population-based study of stage I-IV invasive epithelial ovarian cancer reported to the California Cancer Registry between 1996 and 2014. A fit logistic regression model, which was risk-adjusted for patient and disease characteristics, was used to calculate the observed/expected ratio for each hospital, stratified by hospital annual case volume. A Cox proportional hazards model was used for survival analyses, and a multivariable logistic regression model was used to identify independent predictors of access to high-performing hospitals.

RESULTS

The study population included 30,051 patients who were treated at 426 hospitals: low observed/expected ratio (n=304) 23.5% of cases; intermediate observed/expected ratio (n=92) 57.8% of cases; and high observed/expected ratio (n=30) 18.7% of cases. Hospitals with high observed/expected ratios were significantly more likely to deliver guideline-adherent care (53.3%), compared with hospitals with intermediate (37.8%) and low (27.5%) observed/expected ratios (P<.001). Median disease-specific survival time ranged from 73.0 months for hospitals with high observed/expected ratios to 48.1 months for hospitals with low observed/expected ratios (P<.001). Treatment at a hospital with a high observed/expected ratio was an independent predictor of superior survival compared with hospitals with intermediate (hazard ratio [HR] 1.06, 95% CI 1.01-1.11, P<.05) and low (HR 1.10, 95% CI 1.04-1.16, P<.001) observed/expected ratios. Being of Hispanic ethnicity (odds ratio [OR] 0.85, 95% CI 0.78-0.93, P<.001, compared with white), having Medicare insurance (OR 0.74, 95% CI 0.68-0.81 P<.001, compared with managed care), having a Charlson Comorbidity Index score of 2 or greater (OR 0.91, 95% CI 0.83-0.99, P<.05), and being of lower socioeconomic status (lowest quintile OR 0.41, 95% CI 0.36-0.46, P<.001, compared with highest quintile) were independent negative predictors of access to a hospital with a high observed/expected ratio.

CONCLUSION

Ovarian cancer care at a hospital with a high observed/expected ratio is an independent predictor of improved survival. Barriers to high-performing hospitals disproportionately affect patients according to sociodemographic characteristics. Triage of patients with suspected ovarian cancer according to a performance-based observed/expected ratio hospital classification is a potential mechanism for expanded access to expert care.

Guideline adherence for the surgical treatment of T1 renal tumours correlates with hospital volume: an analysis from the British Association of Urological Surgeons Nephrectomy Audit

OBJECTIVE

To assess European Association of Urology guideline adherence on the surgical management of patients with T1 renal tumours and the effects of centralisation of care.

PATIENTS AND METHODS

Retrospective data from all kidney tumours that underwent radical nephrectomy (RN) or partial nephrectomy (PN) in the period 2012-2016 from the British Association of Urological Surgeons Nephrectomy Audit were retrieved and analysed. We assessed total surgical hospital volume (HV; RN and PN performed) per centre, PN rates, complication rates, and completeness of data. Descriptive analyses were performed, and confidence intervals were used to illustrate the association between hospital volume and proportion of PN. Chi- squared and Cochran-Armitage trend tests were used to evaluate differences and trends.

RESULTS

In total, 13 045 surgically treated T1 tumours were included in the analyses. Over time, there was an increase in PN use (39.7% in 2012 to 44.9% in 2016). Registration of the Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) complexity score was included in March 2016 and documented in 39% of cases. Missing information on postoperative complications appeared constant over the years (8.5-9%).  A clear association was found between annual HV and the proportion of T1 tumours treated with PN rather than RN (from 18.1% in centres performing <25 cases/year [lowest volume] to 61.8% in centres performing ≥100 cases/year [high volume]), which persisted after adjustment for PADUA complexity. Overall and major (Clavien-Dindo grade ≥III) complication rate decreased with increasing HV (from 12.2% and 2.9% in low-volume centres to 10.7% and 2.2% in high-volume centres, respectively), for all patients including those treated with PN.

CONCLUSION

Closer guideline adherence was exhibited by higher surgical volume centres. Treatment of T1 tumours using PN increased with increasing HV, and was accompanied by an inverse association of HV with complication rate. These results support the centralisation of kidney cancer specialist cancer surgical services to improve patient outcomes.

Survival Disparities by Hospital Volume Among American Women With Gynecologic Cancers

PURPOSE

We describe survival disparities among women with uterine, ovarian, or cervical cancer by cancer-specific mean annual hospital volume.

METHODS

National Cancer Database 1998-2011 uterine (n = 441,863), ovarian (n = 223,017), and cervical (n = 146,698) cancer data sets were used. Cancer-specific mean annual hospital volumes were calculated. Overall survival (OS) was plotted by hospital volume using restricted mean OS times from Cox regression.

RESULTS

Uterine, ovarian, and cervical cancers were reported from 1,651, 1,633, and 1,600 hospitals, respectively. Median values of mean annual hospital volumes among hospitals were 8.6 (interquartile range [IQR], 2.6 to 20.8), 4.4 (IQR, 1.4 to 10.3), and 2.4 (IQR, 0.6 to 6.6) for uterine, ovarian, and cervical cancers, respectively. Increased hospital volume was associated with increased OS among women with stage III to IV high-grade serous ovarian cancer, stage II to IV squamous or adenocarcinoma cervical cancer, and stage I to IV endometrioid, clear cell, serous, or carcinosarcoma uterine cancers (all P < .03). Differential OS between women treated at higher- versus lower-volume cancer centers exceeded 5, 5, and 13 months among women with advanced endometrial, ovarian, or cervical cancer, respectively (all P < .001). Hospital volume was not associated with OS among patients with stage II to IV cervical cancer treated with brachytherapy ( P = .17). Use of adjuvant therapies decreased OS disparities by hospital volume among women with advanced ovarian or endometrial cancer.

CONCLUSION

Increased delivery of brachytherapy for treatment of cervical cancer may decrease survival disparities by hospital volume. Standardization of adjuvant therapies may diminish survival disparities by hospital volume among women with advanced ovarian or endometrial cancer. In addition, survival of American women with gynecologic cancer may be increased by centralization of care.

Impact of hospital surgical volume on complete gross resection (CGR) rates following primary debulking surgery for advanced stage epithelial ovarian carcinoma

BACKGROUND

To investigate the impact of hospital surgical volume on the rate of complete gross resection for patients with advanced stage epithelial ovarian carcinoma undergoing primary debulking surgery.

METHODS

The National Cancer Data Base was used to identify patients undergoing between 2010 and 2014 for an advanced stage (III-IV) epithelial ovarian cancer. For analyses purposes facility surgical volume was divided into tertiles (high, intermediate and low). Patients with bulky stage III disease who underwent primary debulking surgery with known residual disease status were selected for further analysis.

RESULTS

A total of 8894 patients with macroscopic peritoneal disease were included. Rates of complete gross resection for patients managed in low, intermediate and high-volume centers were 41.0%, 41.6% and 43.3% respectively (p = 0.20). After controlling for year of diagnosis, age, insurance status, presence of co-morbidities, histology, size of peritoneal implants, stage, and complexity of surgery, patients undergoing primary debulking surgery at low (OR: 0.85, 95% CI: 0.74, 0.97, p = 0.013) and intermediate (OR: 0.90, 95% CI: 0.82, 0.99, p = 0.043) volume centers had a lower likelihood of achieving complete gross resection compared to those managed in high volume centers.

CONCLUSIONS

After controlling for multiple potential confounders, patients receiving surgery in high volume centers had a higher likelihood of complete gross resection following primary debulking surgery for advanced-stage epithelial ovarian cancer.

Current status of ovarian cancer surgical management. Argument for centralisation of care in Australia

In Australia, ovarian cancer remains the most common cause of death among all the gynaecological malignancies, largely due to the fact that patients present at an advanced stage. Cytoreductive surgery has for a number of decades been the cornerstone of initial treatment for patients with advanced disease, where a smaller volume of residual disease (optimal cytoreduction) results in an improved outcome. Evidence indicates that optimal cytoreduction is best achieved by a certified gynaecological oncologist, and that subsequent management by a dedicated multidisciplinary team (MDT) results in patients more likely to receive 'evidenced based guideline care' and be offered participation in clinical trials. Patients managed by an MDT have been shown to have improved survival, their care to be cost effective and that they experience a high level of satisfaction and improved quality of life. Centralisation of care for patients with ovarian cancer should be considered gold standard care.

Discrete-choice experiment to analyse preferences for centralizing specialist cancer surgery services

Background

Centralizing specialist cancer surgery services aims to reduce variations in quality of care and improve patient outcomes, but increases travel demands on patients and families. This study aimed to evaluate preferences of patients, health professionals and members of the public for the characteristics associated with centralization.

Methods

A discrete‐choice experiment was conducted, using paper and electronic surveys. Participants comprised: former and current patients (at any stage of treatment) with prostate, bladder, kidney or oesophagogastric cancer who previously participated in the National Cancer Patient Experience Survey; health professionals with experience of cancer care (11 types including surgeons, nurses and oncologists); and members of the public. Choice scenarios were based on the following attributes: travel time to hospital, risk of serious complications, risk of death, annual number of operations at the centre, access to a specialist multidisciplinary team (MDT) and specialist surgeon cover after surgery.

Results

Responses were obtained from 444 individuals (206 patients, 111 health professionals and 127 members of the public). The response rate was 52·8 per cent for the patient sample; it was unknown for the other groups as the survey was distributed via multiple overlapping methods. Preferences were particularly influenced by risk of complications, risk of death and access to a specialist MDT. Participants were willing to travel, on average, 75 min longer in order to reduce their risk of complications by 1 per cent, and over 5 h longer to reduce risk of death by 1 per cent. Findings were similar across groups.

Conclusion

Respondents' preferences in this selected sample were consistent with centralization.

Most favour it

Being treated in higher volume hospitals leads to longer progression-free survival for epithelial ovarian carcinoma patients in the Rhone-Alpes region of France

BACKGROUND

To investigate the relationship between hospital volume activities and the survival for Epithelial Ovarian Carcinoma (EOC) patients in France.

METHODS

This retrospective study using prospectively implemented databases was conducted on an exhaustive cohort of 267 patients undergoing first-line therapy during 2012 in the Rhone-Alpes Region of France. We compared Progression-Free Survival for Epithelial Ovarian Carcinoma patients receiving first-line therapy in high- (i.e. ≥ 12 cases/year) vs. low-volume hospitals. To control for selection bias, multivariate analysis and propensity scores were used. An adjusted Kaplan-Meier estimator and a univariate Cox model weighted by the propensity score were applied.

RESULTS

Patients treated in the low-volume hospitals had a probability of relapse (including death) that was almost two times (i.e. 1.94) higher than for patients treated in the high-volume hospitals (p < 0.001).

CONCLUSION

To our knowledge, this is the first study conducted in this setting in France. As reported in other countries, there was a significant positive association between greater volume of hospital care for EOC and patient survival. Other factors may also be important such as the quality of the surgical resection.

Centralization of ovarian cancer in the Netherlands: Hospital of diagnosis no longer determines patients' probability of undergoing surgery

OBJECTIVE

Surgical care for advanced stage epithelial ovarian cancer (EOC) patients has been centralized in the Netherlands since 2012. We evaluated whether the likelihood for patients to undergo surgery depends on the hospital of initial diagnosis before and after centralization of surgical care.

METHODS

Patients with EOC FIGO stage IIB-IV, diagnosed in the Netherlands between 2000 and 2015, were identified from the Netherlands Cancer Registry. Multilevel multivariate logistic regression was used to study the association between hospital of diagnosis and patients' likelihood of undergoing surgery in subsequent time periods. Furthermore, changes in overall survival were analyzed by multivariable Cox regression models.

RESULTS

15,314 EOC patients were selected from the NCR. Hospital of diagnosis was identified as a significant level for patients' likelihood of undergoing surgery in 2000-2005 (LR test p<0.001), as well as in 2006-2011 (LR test p=0.002) but not in 2012-2015 (LR test p=0.127). Patients who underwent surgery in 2012-2015 had a better survival when compared to 2006-2011 (HR 0.90(0.84-0.96)).

CONCLUSION

This study shows that centralization of surgical care resolved the variation between hospitals in the probability to undergo cytoreductive surgery for patients with advanced EOC. Since centralization was established in 2012, the decision to operate patients seems solely attributable to patient and tumor characteristics. This supports the growing evidence in favor of centralizing (surgical) treatment for complex and heterogeneous diseases such as EOC.

Surgery for patients with newly diagnosed advanced ovarian cancer: which patient, when and extent?

PURPOSE OF REVIEW

Cytoreduction to no residual disease is the mainstay of primary treatment for advanced epithelial ovarian cancer (AdvEOC). This review addresses recent insights on optimal patient selection, timing, and extent of surgery, intended to optimize cytoreduction in patients with AdvEOC.

RECENT FINDINGS

Clinical guidelines recommend primary cytoreductive surgery (PCS) for AdvEOC patients with a high likelihood of achieving complete cytoreduction with acceptable morbidity. In line with this, preoperative prediction markers such as cancer antigen-125, histologic and genomic factors, innovative imaging modalities, and the performance of a diagnostic laparoscopy have been suggested to improve clinical decision-making with regard to optimal timing of cytoreductive surgery. To determine whether these strategies should be incorporated into clinical practice validation in randomized clinical trials is essential.

SUMMARY

The past decade has seen a paradigm shift in the number of AvdEOC patients that are being treated with upfront neoadjuvant chemotherapy instead of PCS. However, although neoadjuvant chemotherapy may reduce morbidity at the time of interval cytoreductive surgery, no favorable impact on survival has been demonstrated and it may induce resistance to chemotherapy. Therefore, optimizing patient selection for PCS is crucial. Furthermore, surgical innovations in patients diagnosed with AvdEOC should focus on improving survival outcomes.

Ninety-Day Mortality as a Reporting Parameter for High-Grade Serous Ovarian Cancer Cytoreduction Surgery

OBJECTIVE

To evaluate the utility of using 90-day as an adjunct to 30-day mortality rates after surgical cytoreduction for serous ovarian cancer and to compare them across hospitals of differing case volumes over time.

METHODS

We performed a retrospective cohort study using the National Cancer Database of women undergoing cytoreductive surgery for high-grade serous carcinoma between 2004 and 2012. The primary outcome of the study was mortality rate by hospital volume. The secondary outcome was to evaluate the performance of hospital rankings based on 30- and 90-day mortality rates. Hospitals were categorized by cases per year as low volume (10 or fewer), intermediate (11-20), high (21-30), and ultra-high (31 or more).

RESULTS

A total of 24,827 women from 602 hospitals were included. Overall 30-day mortality was 2.1% (95% CI 1.95-2.3) compared with 90-day mortality of 5.1% (95% CI 4.8-5.4%, P<.001). For each hospital volume category, the 90-day mortality was approximately double that of the 30-day mortality. Substituting 90-day in place of 30-day mortality for hospital ranking, 57 hospitals (9.5%) changed ranks (26 worsened and 31 improved). Based on the logistic regression model (after controlling for age, race-ethnicity, income, Charlson comorbidity index, insurance status, hospital volume, distance from place of residence to the hospital, receipt of neoadjuvant chemotherapy, and year of diagnosis), care at the ultra-high-volume centers was an independent predictor of lower odds of death at 90 days [adjusted odds ratios (OR) 0.60, 95% CI 0.38-0.96, P=.034] but not at 30 days (adjusted OR 0.64, 95% CI 0.35-1.18).

CONCLUSION

Compared with low-volume centers, ultra-high-volume centers are associated with significantly lower 30- and 90-day risk-adjusted mortality. The 90-day mortality rate is double that of the 30-day rate and may be a better metric for assessing the initial quality of care for patients with ovarian cancer.

Telemedicine broadening access to care for complex cases

BACKGROUND

Surgical and nonsurgical specialists are highly centralized, making access to high-quality care difficult for many Americans. We explored the feasibility, benefits, preliminary outcomes, and patient satisfaction with a new type of health visit, in which a surgical oncologist used video telecommunication to manage and treat complex cancer diseases, including patients with severe comorbidities.

MATERIALS AND METHODS

Patients visited local VA medical centers throughout Florida to engage in video telecommunication visits with a centralized surgical oncologist in Miami, who directed their oncology treatment. The average length of stay and rate of unplanned readmission were calculated within each organ. The total mileage saved was calculated by subtracting the distance between the patient's home address and the local VA from the distance between the patient's home address and the Miami VA. Travel costs were determined by the VA's reimbursement of $0.415/mile for health-related travel and reimbursement of $150.00 for an overnight hotel stay. A Likert scale with both positively and negatively keyed questions was used to assess patient satisfaction.

RESULTS

In 24 mo, seven unplanned readmissions occurred among 195 operations. Patients experienced an 80.7% reduction in travel distance and saved a total of 213,007.58 miles by visiting their local VA instead of the Miami VA. Survey results indicate that 86% of patients believed that the telemedicine program made medical care more accessible.

CONCLUSIONS

The Specialist-Directed Telemedicine Model can save patients substantial time and money by not traveling to centralized areas, while delivering greater continuity of care and patient satisfaction.

Trends in the receipt of guideline care and survival for women with ovarian cancer: A population-based study

BACKGROUND

We assessed trends in the receipt of guideline care and 2-year cause-specific survival for women diagnosed with ovarian cancer.

METHODS

This retrospective cohort analysis used National Cancer Institute's Patterns of Care studies data for women diagnosed with ovarian cancer in 2002 and 2011 (weighted n=6427). Data included patient characteristics, treatment type, and provider characteristics. We used logistic regression to evaluate the association of year of diagnosis with receipt of guideline surgery, multiagent chemotherapy, or both. Two-year cause-specific survival, 2002-2013, was assessed using SEER data.

RESULTS

The adjusted rate of women who received stage-appropriate surgery, 48%, was unchanged from 2002 to 2011. Gynecologic oncologist (GO) consultations increased from 43% (2002) to 78% (2011). GO consultation was a significant predictor for receipt of guideline care, although only 40% of women who saw a GO received guideline surgery and chemotherapy. The percent of women who received guideline surgery and chemotherapy increased significantly from 32% in 2002 to 37% in 2011. From 2002 to 2011, 2-year cause-specific ovarian cancer survival was unchanged for Stages I-III cancers, with slight improvement for Stage IV cancers.

CONCLUSION

Receipt of guideline care has improved modestly from 2002-2011 for women with ovarian cancer. Current treatment is far below clinical recommendations and may explain limited improvement in 2-year cause-specific survival. Most women consulted a GO in 2011 yet did not receive guideline care. There needs to be a better understanding of the decision-making process about treatment during the consultation with GOs and other factors precluding receipt of guideline care.