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Featured researches published by Mary E. Sullivan.


Annals of Surgery | 2007

Perioperative Mortality for Pancreatectomy: A National Perspective

James T. McPhee; Joshua S. Hill; Giles F. Whalen; Maksim Zayaruzny; Demetrius E. M. Litwin; Mary E. Sullivan; Frederick A. Anderson; Jennifer F. Tseng

Objective:To analyze in-hospital mortality after pancreatectomy using a large national database. Summary and Background Data:Pancreatic resections, including pancreaticoduodenectomy, distal pancreatectomy, and total pancreatectomy, remain the only potentially curative interventions for pancreatic cancer. The goal of this study was to define factors affecting outcomes after pancreatectomy for neoplasm. Methods:A retrospective analysis was performed using all patients undergoing pancreatic resections for neoplastic disease identified from the Nationwide Inpatient Sample from 1998 to 2003. Crude in-hospital mortality was analyzed by χ2. A multivariable model was constructed to adjust for age, sex, hospital teaching status, hospital surgical volume, year of resection, payer status, and selected comorbid conditions. Results:In all, 279,445 patient discharges were identified with a primary diagnosis of pancreatic neoplasm. A total of 39,463 (14%) patients underwent resection during that hospitalization. In-hospital mortality was 5.9% with a significant decrease from 7.8% to 4.6% from 1998 to 2003 by trend analysis (P < 0.0001). Resections done at low (<5 procedures/year)- and medium (5–18/year)-volume centers had higher mortality compared with those at high (>18/year)-volume centers (low-volume odds ratio = 3.3; 95% confidence interval, 2.3–4.; medium-volume, odds ratio = 2.1; 95% confidence interval, 1.5–3.0). The proportion of procedures performed at high volume centers increased from 30% to 39% over the 6-year time period (P < 0.0001) by trend test. Conclusions:This large observational study demonstrates an improvement in operative mortality for patients undergoing pancreatectomy for neoplastic disease from 1998 to 2003. In addition, a greater proportion of pancreatectomies were performed at high-volume centers in 2003. The regionalization of pancreatic surgery may have partially contributed to the observed decrease in mortality rates.


Cancer | 2009

Pancreatic neuroendocrine tumors: the impact of surgical resection on survival

Joshua S. Hill; James T. McPhee; Theodore P. McDade; Zheng Zhou; Mary E. Sullivan; Giles F. Whalen; Jennifer F. Tseng

Although surgical resection is generally recommended for patients with localized pancreatic neuroendocrine tumors (PNETs), the impact of resection on overall survival is unknown. The authors investigated the survival advantage of pancreatic resection using a national database.


Journal of The American College of Surgeons | 2009

In-Hospital Mortality after Pancreatic Resection for Chronic Pancreatitis: Population-Based Estimates from the Nationwide Inpatient Sample

Joshua S. Hill; James T. McPhee; Giles F. Whalen; Mary E. Sullivan; Andrew L. Warshaw; Jennifer F. Tseng

BACKGROUND Pancreatic resection can be performed to ameliorate the sequelae of chronic pancreatitis in selected patients. The perceived risk of pancreatectomy may limit its use. Using a national database, this study compared mortality after pancreatic resections for chronic pancreatitis with those performed for neoplasm. STUDY DESIGN Patient discharges with chronic pancreatitis or pancreatic neoplasm were queried from the Nationwide Inpatient Sample, 1998 to 2006. To account for the Nationwide Inpatient Sample weighting schema, design-adjusted analyses were used. RESULTS There were 11,048 pancreatic resections. Malignant neoplasms represented 64.2% of the sample; benign neoplasms and pancreatitis comprised 17.1% and 18.7%, respectively. In-hospital mortality rates were 2.2% and 1.7% for the pancreatitis and benign tumor cohorts, respectively, compared with 5.9% for the malignancy cohort (overall p < 0.01). A multivariable logistic regression examined differences in mortality among diagnoses while adjusting for patient and hospital characteristics; covariates included patient gender, race, age, comorbidities, type of pancreatectomy, payor, hospital teaching status, hospital size, and hospital volume. After adjustment, patients undergoing resection for pancreatitis were at a significantly lower risk of in-hospital mortality when compared with those with malignant neoplasm (odds ratio, 0.43; 95% CI, 0.28 to 0.67). CONCLUSIONS Pancreatectomies for chronic pancreatitis have lower in-hospital mortality than those performed for malignancy and similar rates as resection for benign tumors. Pancreatic resection, which can improve quality of life in chronic pancreatitis patients, can be performed with moderate mortality rates and should be considered in appropriate patients.


Hpb | 2010

A neoadjuvant strategy for pancreatic adenocarcinoma increases the likelihood of receiving all components of care: lessons from a single-institution database

May Piperdi; Theodore P. McDade; Joon K. Shim; Bilal Piperdi; Sidney P. Kadish; Mary E. Sullivan; Giles F. Whalen; Jennifer F. Tseng

BACKGROUND Recent studies have shown adjuvant therapy improves outcomes from pancreatic cancer (PC). This study investigates receipt and timing of PC treatments, and association with outcomes. METHODS The analysis cohort consisted of patients with newly-diagnosed PC at a single institution over 5 years. Primary Endpoints were (i) receipt of recommended therapy, and (ii) overall survival (OS). RESULTS Among 102 patients, 52 underwent resection. Out of 36 localized resected and 16 locally advanced resected (LAR) patients, 26 and 13, respectively, received adjuvant therapy. Six of the latter group received neoadjuvant therapy. Median OS for resected patients was 15.7 months (range 0.6-51.4), compared with 7.7 for unresected patients (range 0.4-32.0) (P < 0.001), and 14.0 months for patients with resection alone (range 0.6-24.4) vs. 16.1 for patients who also received adjuvant therapy (range 3.2-51.4) (P= 0.027). Out of 46 patients undergoing up-front resection, 33 had R0 surgical margins. For the six LAR patients undergoing neoadjuvant therapy, all margins were R0. CONCLUSION After resection, a substantial proportion of patients do not receive adjuvant therapy, and have worse survival. In this study, neoadjuvant treatment increased both the proportion of patients receiving all components of recommended therapy and the R0 resection rate.


Journal of Clinical Oncology | 2013

Rational Follow-Up After Curative Cancer Resection

Matthew J. Furman; Laura A. Lambert; Mary E. Sullivan; Giles F. Whalen

Cancer recurrence after complete resection of the primary tumor is dreaded by patients and physicians alike. Intensive follow-up after curative resection is considered a marker of good practice and frequently perceived as an antidote against recurrence by patients and families. In the United States, there is abiding faith in frequent imaging and blood tests as the best tools for the job. Thoughtful practice, clinical guidelines, retrospective reviews of prospectively gathered data, and clinical trials of follow-up have focused on the number, frequency, and sequence of modalities. A different perspective on which to predicate follow-up of patients with curatively treated cancer is to consider whether meaningful treatment options exist for recurrence. In cancers for which there are meaningful treatment options, it is reasonable to expect that moreintensive follow-up may improve survival. This commentary discusses this perspective in the context of the established literature in patients with colorectal and breast cancers, two cancers considered to have effective treatments for metastatic and recurrent disease as compared with non–small-cell lung cancer (NSCLC) and pancreatic cancer, which do not.


Hpb | 2016

Thirty-day outcomes underestimate endocrine and exocrine insufficiency after pancreatic resection.

Pei-Wen Lim; Kate H. Dinh; Mary E. Sullivan; Wahid Wassef; Jaroslav Zivny; Giles F. Whalen; Jennifer LaFemina

BACKGROUND Long-term incidence of endocrine and exocrine insufficiency after pancreatectomy is poorly described. We analyze the long-term risks of pancreatic insufficiency after pancreatectomy. METHODS Subjects who underwent pancreatectomy from 2002 to 2012 were identified from a prospective database (n = 227). Subjects who underwent total pancreatectomy or pancreatitis surgery were excluded. New post-operative endocrine and exocrine insufficiency was defined as the need for new pharmacologic intervention within 1000 days from resection. RESULTS 28 (16%) of 178 subjects without pre-existing endocrine insufficiency developed post-operative endocrine insufficiency: 7 (25%) did so within 30 days, 8 (29%) between 30 and 90 days, and 13 (46%) after 90 days. 94 (43%) of 214 subjects without pre-operative exocrine insufficiency developed exocrine insufficiency: 20 (21%) did so within 30 days, 29 (31%) between 30 and 90 days, and 45 (48%) after 90 days. Adjuvant radiation was associated with new endocrine insufficiency. On multivariate regression, pancreaticoduodenectomy and chemotherapy were associated with a greater risk of exocrine insufficiency. CONCLUSION Reporting 30-day functional outcomes for pancreatic resection is insufficient, as nearly 45% of subjects who develop disease do so after 90 days. Reporting of at least 90-day outcomes may more reliably assess risk for post-operative endocrine and exocrine insufficiency.


Artificial Intelligence in Medicine | 2010

Machine learning of clinical performance in a pancreatic cancer database

John Hayward; Sergio A. Alvarez; Carolina Ruiz; Mary E. Sullivan; Jennifer F. Tseng; Giles F. Whalen

OBJECTIVE We consider predictive models for clinical performance of pancreatic cancer patients based on machine learning techniques. The predictive performance of machine learning is compared with that of the linear and logistic regression techniques that dominate the medical oncology literature. METHODS AND MATERIALS We construct predictive models over a clinical database that we have developed for the University of Massachusetts Memorial Hospital in Worcester, Massachusetts, USA. The database contains retrospective records of 91 patient treatments for pancreatic tumors. Classification and regression targets include patient survival time, Eastern Cooperative Oncology Group (ECOG) quality of life scores, surgical outcomes, and tumor characteristics. The predictive performance of several techniques is described, and specific models are presented. RESULTS We show that machine learning techniques attain a predictive performance that is as good as, or better than, that of linear and logistic regression, for target attributes that include tumor N and T stage, survival time, and ECOG quality of life scores. Bayesian techniques are found to provide the best performance overall. For tumor size as the target attribute, however, logistic regression (respectively linear regression in the case of a numerical as opposed to discrete target) performs best. Preprocessing in the form of attribute selection and supervised attribute discretization improves predictive performance for most of the predictive techniques and target attributes considered. CONCLUSION Machine learning provides techniques for improved prediction of clinical performance. These techniques therefore merit consideration as valuable alternatives to traditional multivariate regression techniques in clinical medical studies.


bioinformatics and biomedicine | 2008

Knowledge Discovery in Clinical Performance of Cancer Patients

John Hayward; Sergio A. Alvarez; Carolina Ruiz; Mary E. Sullivan; Jennifer F. Tseng; Giles F. Whalen

Our goal in this research is to construct predictive models for clinical performance of pancreatic cancer patients. Current predictive model design in medical oncology literature is dominated by linear and logistic regression techniques. We seek to show that novel machine learning methods can perform as well or better than these traditional techniques.We construct these predictive models via a clinical database we have developed for the University of Massachusetts Memorial Hospitalin Worcester, Massachusetts, USA. The database contains retrospective records of 91 patient treatments for pancreatic tumors.Classification and regression prediction targets include patient survival time, ECOG quality of life scores, surgical outcomes,and tumor characteristics. The predictive accuracy of various data mining models is described, and specific models are presented.


Journal of Surgical Research | 2014

Electronic medical record: research tool for pancreatic cancer

Edward J. Arous; Theodore P. McDade; Jillian K. Smith; Sing Chau Ng; Mary E. Sullivan; Ralph J. Zottola; Paul Ranauro; Shimul A. Shah; Giles F. Whalen; Jennifer F. Tseng

BACKGROUND A novel data warehouse based on automated retrieval from an institutional health care information system (HIS) was made available to be compared with a traditional prospectively maintained surgical database. METHODS A newly established institutional data warehouse at a single-institution academic medical center autopopulated by HIS was queried for International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes for pancreatic neoplasm. Patients with ICD-9-CM diagnosis codes for pancreatic neoplasm were captured. A parallel query was performed using a prospective database populated by manual entry. Duplicated patients and those unique to either data set were identified. All patients were manually reviewed to determine the accuracy of diagnosis. RESULTS A total of 1107 patients were identified from the HIS-linked data set with pancreatic neoplasm from 1999-2009. Of these, 254 (22.9%) patients were also captured by the surgical database, whereas 853 (77.1%) patients were only in the HIS-linked data set. Manual review of the HIS-only group demonstrated that 45.0% of patients were without identifiable pancreatic pathology, suggesting erroneous capture, whereas 36.3% of patients were consistent with pancreatic neoplasm and 18.7% with other pancreatic pathology. Of the 394 patients identified by the surgical database, 254 (64.5%) patients were captured by HIS, whereas 140 (35.5%) patients were not. Manual review of patients only captured by the surgical database demonstrated 85.9% with pancreatic neoplasm and 14.1% with other pancreatic pathology. Finally, review of the 254 patient overlap demonstrated that 80.3% of patients had pancreatic neoplasm and 19.7% had other pancreatic pathology. CONCLUSIONS These results suggest that cautious interpretation of administrative data rely only on ICD-9-CM diagnosis codes and clinical correlation through previously validated mechanisms.


American Journal of Health-system Pharmacy | 2009

Cytoreductive surgery and intraperitoneal hyperthermic chemotherapy in the treatment of peritoneal carcinomatosis

David C. Gammon; Traci M. Dutton; Bilal Piperdi; Jason Zybert; Steven H. Wolfe; Erin Nguyen; Dalia Sbat; Venu G. Pillarisetty; Mary E. Sullivan; Giles F. Whalen

PURPOSE Cytoreductive surgery (CS) and intraperitoneal hyperthermic chemotherapy (IPHC) in the treatment of peritoneal carcinomatosis (PC) in 15 patients are described. SUMMARY Fifteen patients with PC who were treated with CS and IPHC were retrospectively identified between January 2002 and December 2006. All patients underwent cytoreduction immediately followed by IPHC with mitomycin or cisplatin. The time between undergoing CS and IPHC and the date of the last follow-up appointment or the date of death was used to calculate survival data for each patient. Nine patients had complete cytoreduction, and all but one patient had evidence of invasive disease at the time of surgery. Eleven patients required concomitant bowel resection at the time of debulking. Thirteen patients required blood transfusions during the perioperative period. Nine patients were discharged home, and four were discharged to a rehabilitation facility. Two patients died during the perioperative hospital admission, both of whom had a preoperative Eastern Cooperative Oncology Group (ECOG) performance status score of 2. The median survival time was 8.4 months, similar to the findings of previously published studies. Further studies are needed to see if tumor type, ECOG performance status score, degree of cytoreduction, and the chemotherapy agent used in IPHC can be correlated to quality of life and survival in patients with heterogeneous primary sources of intraabdominal malignancies. CONCLUSION Combination treatment with CS followed by IPHC in 15 patients with heterogeneous primary sources of intraabdominal malignancies resulted in a median survival time of 8.4 months.

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Giles F. Whalen

University of Massachusetts Medical School

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Theodore P. McDade

University of Massachusetts Medical School

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Bilal Piperdi

University of Massachusetts Amherst

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Joshua S. Hill

University of Massachusetts Medical School

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Laura A. Lambert

University of Texas MD Anderson Cancer Center

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Jillian K. Smith

University of Massachusetts Medical School

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Joon K. Shim

University of Massachusetts Medical School

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Kate H. Dinh

University of Massachusetts Medical School

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