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Pancreatectomy

Pancreatectomy is the surgical removal of all or part of the pancreas, a vital organ responsible for producing hormones like insulin and enzymes that aid in digestion.
This procedure may be necessary to treat pancreatic cancer, chronic pancreatitis, or other pancreatic disorders.
Pancreatectomy can be a complex operation, and it's important for researchers to identify the most effective surgical techniques and protocols to optimize patient outcomes and reproducibility.
PubCompare.ai can help by locating the best pancreatectomy protocols from literature, preprints, and patents using AI-driven comparisons, boosting reproducibility and accuracy.
Experince the future of research with this powerful tool that helps identify the most effective methods and products.

Most cited protocols related to «Pancreatectomy»

1
Risk-Adjusted Mortality Rate Estimation
Cited 36 times
We first estimated risk-adjusted hospital mortality rates with all three procedures during 2003–04. We defined mortality as death within 30 days of operation or prior to hospital discharge. We use this definition because the 30-day cut-off is somewhat arbitrary, and when a death occurs in the hospital after major elective surgery it is almost certainly attributable to the operation itself or complications from the surgery. We adjusted for patient age, gender, race, urgency of operation, median ZIP-code income, and coexisting medical conditions. Coexisting medical conditions were obtained from secondary diagnoses in the claims data using the methods of Elixhauser (Southern, Quan, and Ghali 2004 (link)). Using logistic regression, we estimated the expected number of deaths in each hospital and then divided the observed deaths by this expected number of deaths to obtain the ratio of observed to expected mortality (O/E ratio). We then multiplied the O/E ratio by the average mortality rate to obtain a risk-adjusted mortality rate for each hospital.
We next used hierarchical modeling techniques to adjust these mortality estimates for reliablity (See Technical Appendix for details). Using random effects logistic regression models, we generated empirical Bayes predictions of mortality for each hospital (Morris 1983 ; Normand, Glickman, and Gatsonis 1997 ). This technique shrinks the point estimate of mortality back towards the average mortality rate, with the amount of shrinkage proportional to the reliability at each hospital. Reliability is a measure of precision and is a function of both hospital sample size (which determines “noise” variation) and the amount of true variation across hospitals (“signal”). For example, for hospitals with low caseloads of a particular procedure, mortality rates have lower reliability and are shrunk more towards the average mortality. For hospitals with high caseloads, mortality rates are more reliable and shrunk less towards the average mortality. The resulting reliability adjusted mortality is considered the best estimate of a hospital’s “true” mortality rate with each operation (Morris 1983 ).
An underlying assumption of reliability adjustment is that hospitals provide average performance until the data are sufficiently robust to prove otherwise. For example, consider a hospital performing 10 pancreatic resections in a year with 2 deaths (observed mortality rate of 20%). Because of the small number of cases, there is considerable likelihood that this estimate of 20% is the result of chance and not truly an indication of bad performance. From the empirical Bayes perspective, the true mortality rate lies somewhere between this observed rate of 20% and the population-based rate of 5% (the average mortality rate across all hospitals). Using reliability adjustment, the observed rate of 20% is “shrunk” back toward the average rate of 5%. The degree of shrinkage is proportional to the reliability with which the mortality rate is measured. The more reliable the observed mortality rate, the more weight it is afforded. Reliability is assessed on a scale of 0 to 1, with 1 representing perfect reliability. In this case, suppose the reliability based on 20 cases is 0.15, and the remaining weight (0.85) is placed on the average mortality. Thus, the reliability adjusted mortality for this hospital is (0.20)(0.15) + (0.05)(1−0.15) = 7.2%. To further illustrate the impact of reliability adjustment, Figure 1 shows mortality rates before and after reliability adjustment for 20 randomly selected hospitals for each of the 3 procedures in this study. After reliability-adjustment, there is a much less variation across hospitals, as the most extreme observations are shrunk back towards the average mortality rate.
Dimick J.B., Staiger D.O, & Birkmeyer J.D. (2010). Ranking Hospitals on Surgical Mortality: The Importance of Reliability Adjustment. Health Services Research, 45(6 Pt 1), 1614-1629.
Publication 2010
Diagnosis Elective Surgical Procedures Pancreatectomy Patient Discharge Patients Surgery, Day
2
Comprehensive Analysis of Surgical Complications at a University Hospital
Cited 33 times
Over the 6‑month period covering April 2010 to September 2010, all patients admitted to one of our patient wards at the Division of General Surgery, Department of Surgery, Medical University of Vienna were included in this study.
The Division of General Surgery in our university hospital consists of the following teams and specializations: colorectal surgery, hepatobiliary surgery, endocrine surgery, upper gastrointestinal (GI) surgery (esophageal and stomach surgery), bariatric surgery, breast surgery, and pancreatic surgery.
The patient data were extracted by reviewing all discharge letters from that period taken from the digital archives.
Overall, 517 patients were admitted over this period, some repeatedly, leading to a total of 817 admissions. These 517 patients underwent 463 operations. The complications of these operations were then rated according to the Clavien-Dindo classification (Table 1). For easier use, the suffix “d” for permanent disability was not drawn upon.

Clavien-Dindo classification

GradeDefinition
Grade IAny deviation from the normal postoperative course without the need for pharmacological treatment, or surgical, endoscopic, and radiological interventions.Allowed therapeutic regimens are: drugs as antiemetics, antipyretics, analgetics, diuretics and electrolytes, and physiotherapy. This grade also includes wound infections opened at the bedside
Grade IIRequiring pharmacological treatment with drugs other than such allowed for grade I complications.Blood transfusions and total parenteral nutrition are also included
Grade IIIRequiring surgical, endoscopic, or radiological intervention
Grade IIIaIntervention not under general anesthesia
Grade IIIbIntervention under general anesthesia
Grade IVLife-threatening complication (including central nervous system complications) requiring IC/ICU management
Grade IVaSingle organ dysfunction (including dialysis)
Grade IVbMultiorgan dysfunction
Grade VDeath of a patient

According to Dindo et al. [6 (link)]

IC intermediate care, ICU intensive care unit

The operations were sorted according to the complexity ranking (eight groups) in the accounting system of the Austrian Chamber of Physicians (Table 2; [8 ]).

Operation groups (complexity according to the Austrian Chamber of Physicians)

Operation groupExamples
IAbscess incisions, secondary sutures, proctoscopy, skin biopsy
IIExcisions of atheromas, fibromas, lipomas, incisions of anal abscesses
IIIToe amputation, small lymph node extirpation, thoracic drainage, colonoscopy
IVTracheotomy, appendectomy, hernia operation, colostomy, gastrostomy, ERCP
VGastroenterostomy, interventions for recurrent hernia, Cimino fistula, radical varicose vein stripping
VIStrumectomy, cholecystectomy, splenectomy, hemicolectomy, reduction mammoplasty
VIIPartial pancreatectomy, subtotal colectomy, subsegmental and large liver resections
VIIIEsophageal resection, open surgery of aortic aneurysms, organ transplantation
Bolliger M., Kroehnert J.A., Molineus F., Kandioler D., Schindl M, & Riss P. (2018). Experiences with the standardized classification of surgical complications (Clavien-Dindo) in general surgery patients. European Surgery, 50(6), 256-261.
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Publication 2018
Amputation Antiemetics Antipyretics Anus Aortic Aneurysm Appendectomy Atheroma Bariatric Surgery Blood Transfusion Central Nervous System Cholecystectomy Colectomy Colostomy Dialysis Disabled Persons Diuretics Drainage Electrolytes Endocrine Surgical Procedures Fibroma Fingers Fistula Gastrointestinal Surgical Procedure Gastrostomy Hemicolectomy Hepatectomy Hernia Intensive Care Lipoma Lymph Node Excision Operative Surgical Procedures Organ Transplantation Pancreas Pancreatectomy Parenteral Nutrition, Total Patient Discharge Patients Pharmaceutical Preparations Pharmacotherapy Physicians Proctoscopy Skin Splenectomy Stomach Surgical Endoscopy Surgical Wound Sutures Therapeutics Therapy, Physical Thoracic Surgical Procedures Treatment Protocols Upper Gastrointestinal Tract Varices Wound Infection X-Rays, Diagnostic
3
Evaluation of Surgical Risk Calculators
Cited 21 times

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Publication 2013
Colectomy Colon Grafts Inpatient Laparoscopy Operative Surgical Procedures Outpatients Pancreatectomy Patient Discharge Patients Surgeons Wounds and Injuries
4
Trends in Surgical Procedure Volumes and Mortality
Cited 16 times
We based this study on national Medicare Provider Analysis and Review (MEDPAR) files, which contain all hospital discharge abstracts for fee-for-service, acute care hospitalizations for Medicare recipients. Using appropriate procedure codes from the International Classification of Diseases, Ninth Revision (ICD-9),11 (link) we identified all patients from 65 to 99 years of age who underwent one of the following eight cancer and cardiovascular operations from 1999 through 2008: esophagectomy, pancreatectomy, lung resection, cystectomy, repair of abdominal aortic aneurysm (AAA), coronary-artery bypass grafting (CABG), carotid endarterectomy, and aortic-valve replacement (for a full list of ICD-9 codes, see the Supplementary Appendix, available with the full text of this article at NEJM.org). Six of these procedures have been targeted for volume-based referral by the Leapfrog Group.4 (link),12 We also included lung resection and cystectomy, two procedures that have been cited as potential candidates for regionalization.13 (link)–15 (link)Each year, hospitals were ranked according to the volume of Medicare patients for each procedure, adjusting for the proportion of Medicare patients covered by fee-for-service plans. In assessing changes in hospital volumes over time, we sought to distinguish between the effects of “volume creep” (which occurs when more patients who undergo these high-risk procedures are distributed among the same hospitals) and market concentration (which occurs when patients are redistributed to a smaller number of higher-volume hospitals). To quantify market concentration, we determined the proportion of Medicare patients undergoing one of the eight procedures in the top decile and top quintile of hospitals by volume for each year.
Operative mortality, determined from the Medicare eligibility file, was defined as death before discharge or within 30 days after the operation. In creating cohorts for analysis of operative mortality, we used several limitations to enhance the homogeneity of our study cohorts and reduce confounding due to changes in case mix over time. For cancer resections, we excluded patients without an accompanying diagnosis code for cancer. Patients who underwent AAA repair were excluded if there was a diagnosis code or procedure code indicating rupture of the aneurysm, the presence of a thoracoabdominal aneurysm, or both. For patients who underwent CABG, we excluded those who had simultaneous valve replacement or repair.
Finks J.F., Osborne N.H, & Birkmeyer J.D. (2011). Trends in Hospital Volume and Operative Mortality for High-Risk Surgery. The New England journal of medicine, 364(22), 2128-2137.
Publication 2011
Aneurysm Aortic Aneurysm, Abdominal Cardiovascular System Carotid Endarterectomy Cystectomy Diagnosis Eligibility Determination Esophagectomy Hospitalization Lung Malignant Neoplasms Pancreatectomy Patient Discharge Patients Valves, Aortic
5
Optimized Islet Isolation Protocol
Cited 10 times
In compliance with federal regulations, islet isolations were performed from deceased donors (research/clinical) (n=94), split pancreas digestion (n=5), and chronic pancreatitis (n=150) pancreases. On arrival at the laboratory, the pancreas was trimmed, cannulated, and distended with tissue dissociation enzymes of various combinations. After ductal perfusion of the enzymes, the pancreas was digested using a modified Ricordi’s semi-automated method (31 (link)). The digested tissue was then purified by continuous iodixanol (OptiPrep™, Axis-Shield, Oslo, Norway) density gradient on a COBE-2991 cell processor.
Clinical pancreases were accepted following standard organ acceptance criteria and the Edmonton pancreas donor scoring algorithm was applied to each donor (32 (link)). In clinical allograft isolations, our University of Minnesota isolation protocol (17 (link)) was used for all isolations performed with EC-A (n=13) and EC-F (n=19). For clinical isolations performed with the NEM, 2 were performed with this protocol while the remaining 8 isolations were performed with the Clinical Islet Transplantation (CIT) Consortium islet isolation protocol. In all cases of allotransplantation, the liberated islets were first cultured in CMRL-1066 supplemented medium (Mediatech, Inc, Manassas, VA) for 36–72h before being transplanted.
Autologous islet isolations were performed following total pancreatectomy as described (33 (link)–35 (link)). The isolated islets were transplanted immediately after isolation.
Split pancreas digestions (n=5) were performed on research pancreases to study the potency of the NEM compared to EC-F (Table-1C). Each pancreas was split into two lobes, head/body and body/tail, and each portion was digested with either intact collagenase and ChNP (NEM) or intact collagenase and thermolysin (EC-F). Digestions were performed sequentially and each lobe received alternating enzyme treatments to reduce intra-pancreatic variability.
Balamurugan A.N., Loganathan G., Bellin M.D., Wilhelm J.J., Harmon J., Anazawa T., Soltani S.M., Radosevich D.M., Yuasa T., Tiwari M., Papas K.K., McCarthy R., Sutherland D.E, & Hering B.J. (2012). A new enzyme mixture to increase the yield and transplant rate of autologous and allogeneic human islet products. Transplantation, 93(7), 693-702.
Publication 2012
Allografts Clinical Protocols Collagenase Culture Media Digestion Donors Enzymes Epistropheus Head Hereditary pancreatitis Human Body iodixanol Islets of Langerhans Transplantation isolation Pancreas Pancreatectomy Perfusion Tail Thermolysin Tissues

Most recents protocols related to «Pancreatectomy»

1
Laparoscopic vs. Open Distal Pancreatectomy
The LAPOP trial was a single-centre, open-label, parallel, superiority RCT in which patients were randomized 1 : 1 to open or laparoscopic distal pancreatectomy and analysed on an intention-to-treat basis4 (link),5 (link). Quality-of-life measurements were performed before surgery at baseline, as well as at 5–6 weeks, 6 months, 12 months, and 24 months after surgery. For the quality-of-life analysis, only patients who had undergone resection and had responded to at least one quality-of-life questionnaire were included. The protocol was approved by the ethics board in the South-East Healthcare Region of Sweden with decision number 2015/39-31. The full study protocol can be found in Appendix S1.
Johansen K., Lindhoff Larsson A., Lundgren L., Gasslander T., Hjalmarsson C., Sandström P, & Björnsson B. (2023). Quality of life after open versus laparoscopic distal pancreatectomy: long-term results from a randomized clinical trial. BJS Open, 7(2), zrad002.
Full text: Click here
Publication 2023
Laparoscopy Operative Surgical Procedures Pancreatectomy Patients
2
Pancreatectomy Outcomes and Metabolic Syndrome
The study was conducted in accordance with the ethical standard specified by national health commission of China (Act 11, 2016) and approved by the ethics committee of Changhai Hospital (CHEC2020-170). The requirement for written informed consent was waived by the ethics committee. The clinical registration number is ChiCTR2000031167 (available on http://www.chictr.org.cn/). This study retrieved the medical records of elective pancreatectomies in Changhai Hospital from January 2017 to May 2019.
For the eligible patients in this study, relevant information was retrieved: descriptive and surgical information; diagnostic information of metabolic syndrome; information of complications during hospitalization; prognosis during hospitalization. Telephone follow-ups were made after data collections.
Dai Y., Shi Y., Wang H., Cheng T., Xia B., Deng Y, & Xu T. (2023). Metabolic syndrome for the prognosis of postoperative complications after open pancreatic surgery in Chinese adult: a propensity score matching study. Scientific Reports, 13, 3889.
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Publication 2023
Diagnosis Ethics Committees Ethics Committees, Clinical Hospitalization Metabolic Syndrome X Operative Surgical Procedures Pancreatectomy Patients Prognosis
3
Total Pancreatectomy Outcomes: ACS SRC Data Analysis
As recommended by the ACS SRC, a heterogenic multicentric data set was used14 (link). Total pancreatectomy (CPT code 48155) was the chosen procedure because its variability in surgical technique is lower than in pancreatic resections with anastomosis, and morbidity and mortality are relatively high, allowing for more precise evaluation of postoperative outcomes15 (link).
A total of 408 patients from the StuDoQ|Pancreas registry undergoing total pancreatectomy between 2014 and 2018 were included. Available data from the StuDoQ|Pancreas registry were compared with the definitions of preoperative risk factors and outcomes provided by the ACS SRC. In case of matching definitions, data were extracted unaltered from the registry and entered into the ACS SRC. The risk factors of congestive heart failure, dyspnoea, current smoker, and acute renal failure were not provided with matching definitions by the registry but were synthesized from other available data (Supplementary material). As no data on preoperative sepsis or ventilator dependency were provided by the registry, these risk factors were generally assumed as not present. Data on postoperative outcomes were processed accordingly. Information on postoperative sepsis and urinary tract infection was unavailable from the registry and was therefore excluded from analysis. All other outcomes were available with diverging definitions between the ACS SRC and the StuDoQ|Pancreas registry. Detailed information about definitions of risk factors, outcomes, and data processing are shown in Table S1 (preoperative risk factors) and Table S2 (postoperative outcomes).
Preoperative risk factors for each patient were entered into the ACS SRC. PR and chance of outcome (COO) for complications were manually recorded for each patient.
Höhn P., Runde F., Luu A.M., Fahlbusch T., Fein D., Klinger C., Uhl W., Belyaev O., Keck T., Werner J., Nüssler N., Bartsch D.K., Germer C.T., Friess H., Mönch C., Oldhafer K.J, & Kalff J.C. (2023). Applicability of the surgical risk calculator by the American College of Surgeons in the setting of German patients undergoing complete pancreatectomy: multicentre study using data from the StuDoQ|Pancreas registry. BJS Open, 7(2), zrac164.
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Publication 2023
Congestive Heart Failure Dyspnea Kidney Failure, Acute Operative Surgical Procedures Pancreas Pancreatectomy Patients Septicemia Surgical Anastomoses Urinary Tract Infection
4
Elderly Pancreatic and Biliary Surgery Outcomes
This study is a cross-sectional study analyzing the daily database of the Department of hepatopancreatobiliary surgery, Beijing Hospital. From December 2020 to September 2022, 205 consecutive patients undergoing major pancreatic and biliary surgery were screened, and then, 140 elderly patients were recruited in this study.
The inclusion criteria of this study are as follows: (1) age ≥60 years old, which is the age cut-off of older adults defined by the Nation Health Commission of China (13 ); (2) major pancreatic and biliary surgery, containing pancreatectomy (Whipple procedure, distal pancreatectomy, and local pancreatectomy), bile-enteral bypass due to malignant obstructive, and bile duct exploration; (3) voluntary enrollment and signed informed consent. Exclusion criteria contain (1) emergency operation; (2) cancer patients who underwent adjuvant therapy before operation; (3) severe disability or dementia, inability to cooperate with frailty and sarcopenia assessment or effective communication; (4) refusal of informed consent. The Ethics Committee of Beijing Hospital approved the study protocol and written informed consents were obtained from all participants. (Approval letter No. 2020BJYYEC-218-01). The present study adhered to the STROBE guidelines for cross-sectional study. Figure 1 shows the flowchart of this study.
Wang L., Li P., Hu Y., Cheng B., Ding L., Li L., Song J., Wei J, & Xu J. (2023). Relationship between preoperative malnutrition, frailty, sarcopenia, body composition, and anthropometry in elderly patients undergoing major pancreatic and biliary surgery. Frontiers in Nutrition, 10, 1135854.
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Publication 2023
Aged Bile Biliary Tract Surgical Procedures Disabled Persons Duct, Bile Emergencies Ethics Committees, Clinical Intestines, Small Malignant Neoplasms Pancreas Pancreatectomy Pancreaticoduodenectomy Patients Pharmaceutical Adjuvants Presenile Dementia Sarcopenia Therapeutics
5
Prognostic Impact of Duodenal Wall Invasion in Pancreatic Cancer
This study was approved by the Institutional Review Board at our institution (IRB #202,100,888). Pancreatic adenocarcinoma patients with different TNM stages who had undergone Whipple resection and/or distal pancreatectomy at a tertiary care hospital during the period between January 2008 and May 2021 were reviewed in the study, and patients who underwent Whipple resection with or without total pancreatectomy who survived more than 30 days following surgery were analyzed. The following information was obtained from the electronic medical record and tumor registry at our institution: age, gender, and clinical follow-up concerning progression, recurrence, and survival (as of July 1, 2021).
All gross descriptions and hematoxylin and eosin slides were reviewed by three board-certified anatomic pathologists with experience in gastrointestinal pathology (AA, BB, AG) for the following parameters: tumor size (maximum tumor dimension in the pathology report), histologic grade, margin status (R0: negative and R1: positive or less 1 mm for the retroperitoneal margin), the presence of intraductal papillary mucinous neoplasm (IPMN), perineural invasion (PNI), lymphovascular invasion (LVI), DWI (involvement of muscularis propria of the duodenal wall and/or ampullary involvement), extrapancreatic common bile duct invasion by tumor, the number of examined lymph nodes, and the number of involved lymph nodes. All cases were grossed according to our institution’s protocol which includes at least 1 routine section from ampulla (including duodenal wall and pancreas), and cases were staged according to the 8th edition of the AJCC.
The patients were divided into 2 groups: group 1 with DWI and group 2 without DWI, and the clinicopathologic features were compared between the two groups. Descriptive summaries included frequencies and percentages for categorical variables and means (and range) for continuous variables. Univariate analyses were done to compare group 1 and group 2. Means (and ranges) of continuous variables with normal distributions were compared using the two-tailed Student t-test. Pearson’s chi-squared test or Fisher’s exact test were used as applicable to compare the categorical variables. Multivariate logistic regression with unadjusted and adjusted models was run to identify variables significantly associated with DWI.
Overall survival (OS) was calculated from the date of surgical resection to the date of death or last follow-up. Progression-free survival (PFS) was calculated from the date of surgical resection to the date of first recurrence or death, whichever came first. The OS rate and PFS time were calculated using Kaplan–Meier curves, and the log-rank test was used to determine the statistical significance of differences. Multivariate Cox regression analysis was conducted to identify whether DWI or any other parameters in the model were significantly associated with OS and PFS post-pancreatic cancer surgery using unadjusted and adjusted models. STATA/BE 17 was used for data management and statistical analysis. A P-value ≤ 0.05 was considered statistically significant.
Alkhasawneh A., Rashid T., Mohammed I., Elhaddad B., Al-Balas H., Virarkar M., Awad Z., Baskovich B, & Gopinath A. (2023). The prognostic significance of duodenal wall invasion in pancreatic adenocarcinoma. World Journal of Surgical Oncology, 21, 79.
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Publication 2023
Adenocarcinoma Bladder Detrusor Muscle Choledochus Duodenum Eosin Gender Hematoxylin Neoplasm Invasiveness Neoplasms Neoplasms, Mucinous Nodes, Lymph Operative Surgical Procedures Pancreas Pancreatectomy Pancreatic Carcinoma Pathologists Patients Recurrence Retroperitoneal Space Student

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1
Panc 1 by American Type Culture Collection
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PANC-1 is a cell line derived from a human pancreatic ductal adenocarcinoma. It is a commonly used model for in vitro studies of pancreatic cancer.
2
Bxpc 3 by American Type Culture Collection
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BxPC-3 is a cell line derived from a human pancreatic adenocarcinoma. It is commonly used in research related to pancreatic cancer.
3
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AsPC-1 is a cell line derived from a human pancreatic adenocarcinoma. It is a commonly used in vitro model for pancreatic cancer research.
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More about "Pancreatectomy"

Pancreatectomy is the surgical removal of all or part of the pancreas, a vital organ that produces hormones like insulin and enzymes that aid in digestion.
This procedure may be necessary to treat pancreatic conditions such as pancreatic cancer, chronic pancreatitis, or other pancreatic disorders.
Pancreatectomy can be a complex operation, and it's crucial for researchers to identify the most effective surgical techniques and protocols to optimize patient outcomes and reproducibility.
PubCompare.ai, an innovative AI-driven tool, can help researchers locate the best pancreatectomy protocols from literature, preprints, and patents, boosting reproducibility and accuracy.
This powerful platform can assist in identifying the most effective methods and products, revolutionizing the future of pancreatectomy research.
Researchers can explore various pancreatic cell lines, such as PANC-1, BxPC-3, AsPC-1, SW1990, and MIA PaCa-2, to study the underlying mechanisms of pancreatic diseases and the impact of different treatments.
Additionally, animal models like BALB/c mice can provide valuable insights into the in vivo effects of pancreatectomy and associated therapies.
Surgical techniques, such as the use of the Enseal device, and anesthetics, like Rompun, may play a crucial role in the success of pancreatectomy procedures.
By leveraging the latest research and technological advancements, researchers can enhance the reproducibility and accuracy of their pancreatectomy studies, leading to improved patient outcomes and advancements in the field of pancreatic healthcare.