ABSTRACT

Upper gastrointestinal cancer is frequently complicated by venous thromboembolisms (VTE), especially pulmonary embolisms (PE) increase the mortality rate. Monocytes are a part of the innate immune system and up-regulation may indicate an ongoing inflammatory response or infectious disease and has lately been associated with a moderate risk of suffering from VTE. This prospectively study aims to compare the incidence of pulmonary embolism with markers of coagulation and compare it to the absolute monocyte count. A consecutive cohort of 250 patients with biopsy proven upper gastrointestinal cancer (i.e. pancreas, biliary tract, esophagus and gastric cancer) where included at the time of cancer diagnosis and before treatment. All patients underwent bilateral compression ultrasonography for detection of deep vein thrombosis (DVT). Of these 143 had an additionally pulmonary angiografi (CTPA) with the staging computer tomography. 13 of 250 patients (5.2%) had a DVT and 11 of 143 (7.7%) had CTPA proven PE. PE was significantly more common among patients with elevated D-dimer (OR 11.62, 95%CI: 1.13-119, P = 0.039) and elevated absolute monocyte count (OR 7.59, 95%CI: 1.37-41.98, P = 0.020). Only patients with pancreatic cancer had a significantly higher risk of DVT (OR 11.03, 95%CI: 1.25-97.43, P = 0.031). The sensitivity of absolute monocyte count was 63.6 (95%CI: 30.8-89.1) and specificity 80.3 (95%CI: 72.5-86.7), with a negative predictive value of 96.4 (95%CI: 91-99) in PE. An increased absolute monocyte count was detected in patients suffering from PE but not DVT, suggesting a possible interaction with the innate immune system.

PMID:37792208 | DOI:10.1007/s11239-023-02897-5

09:09

PubMed articles on: Cancer & VTE/PE

Persistent underuse of extended venous thromboembolism prophylaxis in patients undergoing major abdominal cancer operations

J Surg Oncol. 2023 Oct 6. doi: 10.1002/jso.27473. Online ahead of print.

ABSTRACT

BACKGROUND: Guidelines recommend extended venous thromboembolism (VTE) prophylaxis for high-risk populations undergoing major abdominal cancer operations. Few studies have evaluated extended VTE prophylaxis in the Medicare population who are at higher risk due to age.

METHODS: We performed a retrospective study using a 20% random sample of Medicare claims, 2012-2017. Patients ≥65 years with an abdominal cancer undergoing resection were included. Primary outcome was the proportion of patients receiving new extended VTE prophylaxis prescriptions at discharge. Secondary outcomes included postdischarge VTE and hemorrhagic events.

RESULTS: The study included 72 983 patients with a mean age of 75. Overall, 8.9% of patients received extended VTE prophylaxis. This proportion increased (7.2% in 2012, 10.6% in 2017; p < 0.001). Incidence of postdischarge hemorrhagic events was 1.0% in patients receiving extended VTE prophylaxis and 0.8% in those who did not. The incidence of postdischarge VTE events was 5.2% in patients receiving extended VTE prophylaxis and 2.4% in those who did not.

CONCLUSION: Adherence to guideline-recommended extended VTE prophylaxis in high-risk patients undergoing major abdominal cancer operations is low. The higher rate of VTE in the prophylaxis group may suggest we captured some therapeutic anticoagulation, which would mean the actual rate of thromboprophylaxis is lower than reported herein.

PMID:37800390 | DOI:10.1002/jso.27473

09:09

PubMed articles on: Cancer & VTE/PE

Increased risk of venous and arterial thromboembolism in patients with colorectal cancer receiving cetuximab-based combination chemotherapy: A population-based study in Korea

Thromb Res. 2023 Oct 4;231:50-57. doi: 10.1016/j.thromres.2023.10.005. Online ahead of print.

ABSTRACT

INTRODUCTION: Limited data exist on the risk of venous and arterial thromboembolisms (VTE and ATE) in patients receiving cetuximab plus chemotherapy. We aimed to determine the thromboembolic risk of patients with recurrent/metastatic colorectal cancer (CRC) treated with cetuximab plus chemotherapy compared to chemotherapy alone.

METHODS: This population-based study used nationwide claims data from the Health Insurance Review and Assessment Service of South Korea from 2013 to 2020. Patients with recurrent/metastatic CRC treated with first-line oxaliplatin- or irinotecan-based doublets with or without cetuximab and no secondary prevention for VTE and ATE were included. Primary outcomes were the occurrence of any thromboembolic events, VTE, and ATE, which were determined using the cumulative incidence method incorporating death as a competing event.

RESULTS: We identified 19,723 patients (cetuximab plus chemotherapy, N = 7630; chemotherapy alone, N = 12,093). The cumulative incidence of any thromboembolic events in patients with cetuximab plus chemotherapy was significantly higher than in those receiving chemotherapy alone (6-month, 5.62 % vs. 3.58 %, P < 0.0001). The rates of VTE (6-month, 5.11 % vs. 3.28 %, P < 0.0001) and ATE (6-month, 0.53 % vs. 0.32 %, P = 0.0218) were also higher in patients receiving cetuximab plus chemotherapy. In multivariable analysis, cetuximab plus chemotherapy was independently associated with developing any thromboembolic events (hazard ratio [HR], 1.63; 95 % confidence interval [CI], 1.42-1.87), VTE (HR, 1.62; 95 % CI, 1.40-1.87), and ATE (HR, 1.77; 95 % CI, 1.16-2.71).

CONCLUSIONS: Cetuximab with irinotecan- or oxaliplatin-based doublet chemotherapy was associated with an increased risk of any thromboembolic events, VTE, and ATE; further studies are warranted to examine the underlying mechanisms.

PMID:37804738 | DOI:10.1016/j.thromres.2023.10.005

09:09

PubMed articles on: Cancer & VTE/PE

Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals

Postgrad Med J. 2023 Oct 4:qgad095. doi: 10.1093/postmj/qgad095. Online ahead of print.

ABSTRACT

Artificial intelligence tools, particularly convolutional neural networks (CNNs), are transforming healthcare by enhancing predictive, diagnostic, and decision-making capabilities. This review provides an accessible and practical explanation of CNNs for clinicians and highlights their relevance in medical image analysis. CNNs have shown themselves to be exceptionally useful in computer vision, a field that enables machines to 'see' and interpret visual data. Understanding how these models work can help clinicians leverage their full potential, especially as artificial intelligence continues to evolve and integrate into healthcare. CNNs have already demonstrated their efficacy in diverse medical fields, including radiology, histopathology, and medical photography. In radiology, CNNs have been used to automate the assessment of conditions such as pneumonia, pulmonary embolism, and rectal cancer. In histopathology, CNNs have been used to assess and classify colorectal polyps, gastric epithelial tumours, as well as assist in the assessment of multiple malignancies. In medical photography, CNNs have been used to assess retinal diseases and skin conditions, and to detect gastric and colorectal polyps during endoscopic procedures. In surgical laparoscopy, they may provide intraoperative assistance to surgeons, helping interpret surgical anatomy and demonstrate safe dissection zones. The integration of CNNs into medical image analysis promises to enhance diagnostic accuracy, streamline workflow efficiency, and expand access to expert-level image analysis, contributing to the ultimate goal of delivering further improvements in patient and healthcare outcomes.

PMID:37794609 | DOI:10.1093/postmj/qgad095

09:09

PubMed articles on: Cancer & VTE/PE

Development and validation of a new risk assessment model for immunomodulatory drug-associated venous thrombosis among Chinese patients with multiple myeloma

Thromb J. 2023 Oct 4;21(1):105. doi: 10.1186/s12959-023-00534-y.

ABSTRACT

BACKGROUND: Individuals with multiple myeloma (MM) receiving immunomodulatory drugs (IMiDs) are at risk of developing venous thromboembolism (VTE), a serious complication. There is no established clinical model for predicting VTE in the Chinese population. We develop a new risk assessment model (RAM) for IMiD-associated VTE in Chinese MM patients.

METHODS: We retrospectively selected 1334 consecutive MM patients receiving IMiDs from 16 medical centers in China and classified them randomly into the derivation and validation cohorts. A multivariate Cox regression model was used for analysis.

RESULTS: The overall incidence of IMiD-related VTE in Chinese MM patients was 6.1%. Independent predictive factors of VTE (diabetes, ECOG performance status, erythropoietin-stimulating agent use, dexamethasone use, and VTE history or family history of thrombosis) were identified and merged to develop the RAM. The model identified approximately 30% of the patients in each cohort at high risk for VTE. The hazard ratios (HRs) were 6.08 (P < 0.001) and 6.23 (P < 0.001) for the high-risk subcohort and the low-risk subcohort, respectively, within both the derivation and validation cohorts. The RAM achieved satisfactory discrimination with a C statistic of 0.64. The stratification approach of the IMWG guidelines yielded respective HRs of 1.77 (P = 0.053) and 1.81 (P = 0.063). The stratification approach of the SAVED score resulted in HRs of 3.23 (P = 0.248) and 1.65 (P = 0.622), respectively. The IMWG guideline and the SAVED score-based method yielded C statistics of 0.58 and 0.51, respectively.

CONCLUSIONS: The new RAM outperformed the IMWG guidelines and the SAVED score and could potentially guide the VTE prophylaxis strategy for Chinese MM patients.

PMID:37794471 | PMC:PMC10552366 | DOI:10.1186/s12959-023-00534-y

09:09

PubMed articles on: Cancer & VTE/PE

Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis

Eur J Haematol. 2023 Oct 4. doi: 10.1111/ejh.14110. Online ahead of print.

ABSTRACT

BACKGROUND: Accurate diagnostic and prognostic predictions of venous thromboembolism (VTE) are crucial for VTE management. Artificial intelligence (AI) enables autonomous identification of the most predictive patterns from large complex data. Although evidence regarding its performance in VTE prediction is emerging, a comprehensive analysis of performance is lacking.

AIMS: To systematically review the performance of AI in the diagnosis and prediction of VTE and compare it to clinical risk assessment models (RAMs) or logistic regression models.

METHODS: A systematic literature search was performed using PubMed, MEDLINE, EMBASE, and Web of Science from inception to April 20, 2021. Search terms included "artificial intelligence" and "venous thromboembolism." Eligible criteria were original studies evaluating AI in the prediction of VTE in adults and reporting one of the following outcomes: sensitivity, specificity, positive predictive value, negative predictive value, or area under receiver operating curve (AUC). Risks of bias were assessed using the PROBAST tool. Unpaired t-test was performed to compare the mean AUC from AI versus conventional methods (RAMs or logistic regression models).

RESULTS: A total of 20 studies were included. Number of participants ranged from 31 to 111 888. The AI-based models included artificial neural network (six studies), support vector machines (four studies), Bayesian methods (one study), super learner ensemble (one study), genetic programming (one study), unspecified machine learning models (two studies), and multiple machine learning models (five studies). Twelve studies (60%) had both training and testing cohorts. Among 14 studies (70%) where AUCs were reported, the mean AUC for AI versus conventional methods were 0.79 (95% CI: 0.74-0.85) versus 0.61 (95% CI: 0.54-0.68), respectively (p < .001). However, the good to excellent discriminative performance of AI methods is unlikely to be replicated when used in clinical practice, because most studies had high risk of bias due to missing data handling and outcome determination.

CONCLUSION: The use of AI appears to improve the accuracy of diagnostic and prognostic prediction of VTE over conventional risk models; however, there was a high risk of bias observed across studies. Future studies should focus on transparent reporting, external validation, and clinical application of these models.

PMID:37794526 | DOI:10.1111/ejh.14110

09:09

PubMed articles on: Cancer & VTE/PE

Measurement of adherence and health-related quality of life during anticoagulation therapy in cancer-associated venous thromboembolism (VTE): a multicenter quantitative study

Support Care Cancer. 2023 Oct 6;31(10):615. doi: 10.1007/s00520-023-08073-y.

ABSTRACT

PURPOSE: Therapy for cancer-associated venous thromboembolism (VTE) includes long-term anticoagulation, which may have substantial impact on the health-related quality of life (HRQL) of patients. We assessed patient-reported outcomes to characterize the HRQL associated with VTE treatment and to begin to examine those HRQL elements impacting anticoagulation adherence (AA).

METHODS: Participants were adult cancer patients with confirmed symptomatic acute lower extremity deep venous thrombosis. Patients were excluded if there was an indication for anticoagulation other than VTE, ECOG performance status >3, or life expectancy < 3 months. Participants were assessed with a self-reported adherence tool. HRQL was measured with a 6-domain questionnaire using a seven-point Likert scale. Evaluations were performed at 30 days and 3 months after enrollment. For the primary objective, an overall adherence rate was calculated at each time point of evaluation. For the HRQL domains, non-parametric testing was used to compare results between subgroups.

RESULTS: Seventy-four patients were enrolled. AA and HRQL at 30 days and 3 months were assessed in 50 and 36 participants, respectively. At 30 days the AA rate was 90%, and at 3 months it was 83%. In regard to HRQL, patients suffered frequent and moderate-severe distress in the domains of emotional and physical symptoms, sleep disturbance, and limitations to physical activity. An association between emotional or physical distress and AA was observed.

CONCLUSION: Patients with VTE suffer a substantial impairment of their HRQL. Increased emotional distress correlated with better long-term AA. These results can be used to inform additional research aimed at developing novel strategies to improve AA.

PMID:37801086 | DOI:10.1007/s00520-023-08073-y

09:09

PubMed articles on: Cancer & VTE/PE

Two Cases of Catheter-Related Venous Thrombosis Treated with Direct Oral Anticoagulants(DOAC)

Gan To Kagaku Ryoho. 2023 Sep;50(9):993-996.

ABSTRACT

The implantation of a totally implantable central venous(CV)access port is considered a risk factor for venous thromboembolism( VTE). In the treatment of catheter-related thrombosis(CRT), both European and American guidelines recommend anticoagulation therapy with catheters in place. We experienced 2 cases of upper extremity deep vein thrombosis (UEDVT)after the implantation of CV access ports through the left subclavian vein for adjuvant chemotherapy in patients with resected breast cancer. Both patients were successfully treated with direct oral anticoagulants(DOAC) while the port remained in place with a careful follow-up that included monitoring of serum D-dimer levels. The administration of DOAC to CRT that develops in patients undergoing postoperative adjuvant chemotherapy for breast cancer may be relatively safe, with a low potential for adverse events such as bleeding.

PMID:37800295

09:09

PubMed articles on: Cardio-Oncology

Outcomes of patients with active cancers and pre-existing cardiovascular diseases infected with SARS-CoV-2

Cardiooncology. 2023 Oct 6;9(1):36. doi: 10.1186/s40959-023-00187-w.

ABSTRACT

OBJECTIVE: To determine the impact of acute SARS-CoV-2 infection on patient with concomitant active cancer and CVD.

METHODS: The researchers extracted and analyzed data from the National COVID Cohort Collaborative (N3C) database between January 1, 2020, and July 22, 2022. They included only patients with acute SARS-CoV-2 infection, defined as a positive test by PCR 21 days before and 5 days after the day of index hospitalization. Active cancers were defined as last cancer drug administered within 30 days of index admission. The "Cardioonc" group consisted of patients with CVD and active cancers. The cohort was divided into four groups: (1) CVD (-), (2) CVD ( +), (3) Cardioonc (-), and (4) Cardioonc ( +), where (-) or ( +) denotes acute SARS-CoV-2 infection status. The primary outcome of the study was major adverse cardiovascular events (MACE), including acute stroke, acute heart failure, myocardial infarction, or all-cause mortality. The researchers analyzed the outcomes by different phases of the pandemic and performed competing-risk analysis for other MACE components and death as a competing event.

RESULTS: The study analyzed 418,306 patients, of which 74%, 10%, 15.7%, and 0.3% had CVD (-), CVD ( +), Cardioonc (-), and Cardioonc ( +), respectively. The Cardioonc ( +) group had the highest MACE events in all four phases of the pandemic. Compared to CVD (-), the Cardioonc ( +) group had an odds ratio of 1.66 for MACE. However, during the Omicron era, there was a statistically significant increased risk for MACE in the Cardioonc ( +) group compared to CVD (-). Competing risk analysis showed that all-cause mortality was significantly higher in the Cardioonc ( +) group and limited other MACE events from occurring. When the researchers identified specific cancer types, patients with colon cancer had higher MACE.

CONCLUSION: In conclusion, the study found that patients with both CVD and active cancer suffered relatively worse outcomes when they had acute SARS-CoV-2 infection during early and alpha surges in the United States. These findings highlight the need for improved management strategies and further research to better understand the impact of the virus on vulnerable populations during the COVID-19 pandemic.

PMID:37803479 | PMC:PMC10557272 | DOI:10.1186/s40959-023-00187-w

09:09

PubMed articles on: Cancer & VTE/PE

Real-world data emulating randomized controlled trials of non-vitamin K antagonist oral anticoagulants in patients with venous thromboembolism

BMC Med. 2023 Sep 29;21(1):375. doi: 10.1186/s12916-023-03069-1.

ABSTRACT

BACKGROUND: Emulating randomized controlled trials (RCTs) by real-world evidence (RWE) studies would benefit future clinical and regulatory decision-making by balancing the limitations of RCT. We aimed to evaluate whether the findings from RWE studies can support regulatory decisions derived from RCTs of non-vitamin K antagonist oral anticoagulants (NOACs) in patients with venous thromboembolism (VTE).

METHODS: Five landmark trials (AMPLIFY, RE-COVER II, Hokusai-VTE, EINSTEIN-DVT, and EINSTEIN-PE) of NOACs were emulated using the South Korean nationwide claims database (January 2012 to August 2020). We applied an active comparator and new-user design to include patients who initiated oral anticoagulants within 28 days from their VTE diagnoses. The prespecified eligibility criteria, exposure (each NOAC, such as apixaban, rivaroxaban, dabigatran, and edoxaban), comparator (conventional therapy, defined as subcutaneous heparin followed by warfarin), and the definition of outcomes from RCTs were emulated as closely as possible in each separate emulation cohort. The primary outcome was identical to each trial, which was defined as recurrent VTE or VTE-related death. The safety outcome was major bleeding. Propensity score matching was conducted to balance 69 covariates between the exposure groups. Effect estimates for outcomes were estimated using the Mantel-Haenszel method and Cox proportional hazards model and subsequently compared with the corresponding RCT estimates.

RESULTS: Compared to trial populations, real-world study populations were older (range: 63-69 years [RWE] vs. 54-59 years [RCT]), with more females (55-60.5% vs. 39-48.3%) and had a higher prevalence of active cancer (4.2-15.4% vs. 2.5-9.5%). The emulated estimates for effectiveness outcomes showed superior effectiveness of NOAC (AMPLIFY: relative risk 0.81, 95% confidence interval 0.70-0.94; RE-COVER II: hazard ratio [HR] 0.60, 0.37-0.96; Hokusai-VTE: 0.49, 0.31-0.78; EINSTEIN-DVT: 0.54, 0.33-0.89; EINSTEIN-PE: 0.50, 0.34-0.74), when contrasted with trials that showed non-inferiority. For safety outcomes, all emulations except for AMPLIFY and EINSTEIN-DVT yielded results consistent with their corresponding RCTs.

CONCLUSIONS: This study revealed the feasibility of complementing RCTs with RWE studies by using claims data in patients with VTE. Future studies to consider the different demographic characteristics between RCT and RWE populations are needed.

PMID:37775786 | PMC:PMC10542685 | DOI:10.1186/s12916-023-03069-1

09:09

PubMed articles on: Cancer & VTE/PE

Implementation of routine venous thromboembolism prophylaxis during neoadjuvant chemotherapy for patients with ovarian cancer

Gynecol Oncol. 2023 Oct 11;178:89-95. doi: 10.1016/j.ygyno.2023.10.001. Online ahead of print.

ABSTRACT

OBJECTIVE: To compare the venous thromboembolism (VTE) rate in patients with ovarian cancer undergoing neoadjuvant chemotherapy before and after implementing routine thromboprophylaxis.

METHODS: This is a quasi-experimental pre-post study evaluating the VTE rate in patients with ovarian cancer who received neoadjuvant chemotherapy following a quality improvement initiative of routine thromboprophylaxis within a single healthcare system that started in January 2017. Patients were excluded if VTE was diagnosed before initiating chemotherapy. Patient factors and perioperative variables of interest were investigated for their association with VTE through univariate and multivariate models.

RESULTS: Of the 136 patients in the pre-implementation group, 3.7% (n = 5) received thromboprophylaxis. Of the 154 patients in the post-implementation group, 65.6% (n = 101) received thromboprophylaxis. Provider compliance varied from 51% in 2019 to 79.3% in 2021. The overall rate of VTE, from the start of chemotherapy to the end of treatment, was 21.3% (n = 29) pre- and 8.4% (n = 13) in the post-implementation group (p < 0.01). There was no difference in major bleeding events between groups (0% vs. 0.68%, p = 0.63). On univariate analysis, thromboprophylaxis (OR 0.19; 95% CI 0.07-0.52) and post-implementation period (OR 0.34; 95% CI 0.17-0.69) were associated with a decreased risk of any VTE during primary treatment. On multivariate analysis, only thromboprophylaxis remained significantly associated with reduced VTE rates (aOR 0.19; 95% CI 0.07-0.53).

CONCLUSION: Routine thromboprophylaxis during neoadjuvant chemotherapy is associated with reduced risk of VTE throughout primary treatment and is not associated with increased bleeding events.

PMID:37832182 | DOI:10.1016/j.ygyno.2023.10.001

09:09

PubMed articles on: Cardio-Oncology

Cancer survivorship at heart: a multidisciplinary cardio-oncology roadmap for healthcare professionals

Front Cardiovasc Med. 2023 Sep 15;10:1223660. doi: 10.3389/fcvm.2023.1223660. eCollection 2023.

ABSTRACT

In cancer, a patient is considered a survivor from the time of initial diagnosis until the end of life. With improvements in early diagnosis and treatment, the number of cancer survivors (CS) has grown considerably and includes: (1) Patients cured and free from cancer who may be at risk of late-onset cancer therapy-related cardiovascular toxicity (CTR-CVT); (2) Patients with long-term control of not-curable cancers in whom CTR-CVT may need to be addressed. This paper highlights the importance of the cancer care continuum, of a patient-centered approach and of a prevention-oriented policy. The ultimate goal is a personalized care of CS, achievable only through a multidisciplinary-guided survivorship care plan, one that replaces the fragmented management of current healthcare systems. Collaboration between oncologists and cardiologists is the pillar of a framework in which primary care providers and other specialists must be engaged and in which familial, social and environmental factors are also taken into account.

PMID:37786510 | PMC:PMC10541962 | DOI:10.3389/fcvm.2023.1223660

09:09

PubMed articles on: Cancer & VTE/PE

Risk factors for bleeding in cancer patients treated with conventional dose followed by low dose apixaban for venous thromboembolism

Thromb Haemost. 2023 Oct 10. doi: 10.1055/a-2188-8773. Online ahead of print.

ABSTRACT

BACKGROUND: Incidence of and risk factors for bleeding in cancer patients with venous thromboembolism (VTE) treated with apixaban are poorly described.

METHODS: We analyzed data from the prospective CAP study where 298 cancer patients with any type of VTE received 5 mg apixaban twice daily for 6 months, and then 2.5 mg apixaban twice daily for 30 months. For most analyses major bleedings and clinically relevant non-major bleedings were merged to "clinically relevant bleedings". Risk factors were estimated by odds ratios (OR) and 95% confidence intervals (CI).

RESULTS: The incidence of clinically relevant bleedings was 38% per person year during the first 6 months of treatment, 21% per person year from 7 to 12 months, and between 4% and 8% per person year from 13 to 36 months. Clinically relevant bleedings were associated with age above 74 years (OR 2.0, 95% CI 1.0-4.1), BMI below 21.7 (OR 2.3, 95% CI 1.1-4.8), and hemoglobin at baseline below 10.5 for females (OR 2.8, 95% CI 1.1-7.3) and 11.1 for males (OR 3.3, 95% CI 1.3-8.4) during the first 6 months. Gastrointestinal (GI) or urogenital cancer were not associated with clinically relevant bleedings compared with other cancers. Among patients with luminal GI-cancer, non-resected cancer had increased risk of bleeding (OR 3.4, 95% CI 1.0-11.6) compared with resected GI-cancer.

CONCLUSION: It was very few bleedings while patients were on low-dose apixaban. Factors associated with bleeding in patients treated with full-dose apixaban were high age, low BMI, and low hemoglobin, and probably non-resected luminal GI-cancer.

PMID:37816388 | DOI:10.1055/a-2188-8773

09:09

PubMed articles on: Cancer & VTE/PE

Accuracy of the ACS NSQIP Surgical Risk Calculator for Predicting Postoperative Complications in Gastric Cancer Following Open Gastrectomy

Am Surg. 2023 Oct 12:31348231206581. doi: 10.1177/00031348231206581. Online ahead of print.