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1.
BMJ Open ; 14(6): e081157, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38951008

ABSTRACT

PURPOSE: Compared with older women diagnosed with breast cancer, younger women are more likely to die of breast cancer and more likely to suffer psychosocially in both the short-term and long term. The Young Women's Breast Cancer Study (YWS) is a multisite prospective cohort study established to address gaps in our knowledge about this vulnerable and understudied population. PARTICIPANTS: The YWS enrolled 1302 women newly diagnosed with stages 0-IV breast cancer at age 40 years or younger at 13 academic and community sites in North America between 2006 and 2016. Longitudinal patient-reported outcome data are complemented by clinical data abstraction and biospecimen collection at multiple timepoints. FINDINGS TO DATE: Key findings related to fertility include that nearly 40% of participants were interested in pregnancy following diagnosis; of those who reported interest, 10% pursued fertility preservation. Overall, approximately 10% of YWS participants became pregnant in the first 5 years after diagnosis; follow-up is ongoing for pregnancies after 5 years. Studies focused on psychosocial outcomes have characterised quality of life, post-traumatic stress and fear of recurrence, with findings detailing the factors associated with the substantial psychosocial burden many young women face during and following active treatment. Multiple studies have leveraged YWS biospecimens, including whole-exome sequencing of tumour analyses that revealed that select somatic alterations occur at different frequencies in young (age≤35) versus older women with luminal A breast cancer, and a study that explored clonal hematopoiesis of indeterminate potential found it to be rare in young survivors. FUTURE PLANS: With a median follow-up of approximately 10 years, the cohort is just maturing for many relevant long-term outcomes and provides outstanding opportunities to further study and build collaborations to address gaps in our knowledge, with the ultimate objective to improve care and outcomes for young women with breast cancer. TRIAL REGISTRATION NUMBER: NCT01468246.


Subject(s)
Breast Neoplasms , Quality of Life , Humans , Female , Breast Neoplasms/psychology , Breast Neoplasms/diagnosis , Prospective Studies , Adult , Young Adult , Pregnancy , Fertility Preservation/psychology , North America , Patient Reported Outcome Measures , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/psychology
2.
BMJ Open ; 14(6): e075071, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38951010

ABSTRACT

OBJECTIVES: Mesothelioma is an aggressive cancer predominantly affecting the lung and abdominal linings. It can have a unique impact on mental health and well-being (MHWB) due to its incurability, poor prognosis and asbestos-exposure causation. This review's aims were to identify/synthesise international evidence on mesothelioma's MHWB impacts; explore MHWB interventions used by patients and carers; and identify evidence of their effectiveness. DESIGN: Systematic review. DATA SOURCES: Databases, searched March 2022 and March 2024, were MEDLINE; CINAHL; PsycINFO; Cochrane Library; ASSIA. ELIGIBILITY CRITERIA: We included study designs focusing on psychological impacts of living with mesothelioma and MHWB interventions used by patients and informal carers, published in English since January 2002. DATA EXTRACTION AND SYNTHESIS: A team of reviewers screened included studies using standardised methods. Quality was assessed using validated tools: Mixed-Methods Appraisal tool for primary research and Joanna Briggs Institute Critical Appraisal Checklist for Systematic Reviews. RESULTS: Forty-eight studies met the inclusion criteria: 20 qualitative, 16 quantitative, nine reviews, two mixed-methods, one combined systematic review/qualitative study. UK studies predominated. Many MHWB impacts were reported, including traumatic stress, depression, anxiety and guilt. These were influenced by mesothelioma's causation, communication issues and carer-patient relational interactions. Participants used wide-ranging MHWB interventions, including religious/spiritual practice; talking to mental-health professionals; meaning-making. Some strategies were presented as unhelpful, for example, denial. Participants reported lack of access to support. CONCLUSIONS: Most qualitative studies were rated high quality. The quality of the quantitative studies and reviews varied. The sparse literature regarding MHWB in mesothelioma means more research is needed into impacts on patients and carers, including trauma. To enable access to evidence-based support, research is recommended concerning MHWB interventions' effectiveness in mesothelioma. PROSPERO REGISTRATION NUMBER: CRD42022302187.


Subject(s)
Caregivers , Mental Health , Mesothelioma , Humans , Mesothelioma/psychology , Mesothelioma/therapy , Caregivers/psychology , Quality of Life , Anxiety/etiology , Depression/etiology
3.
Sci Rep ; 14(1): 15004, 2024 07 01.
Article in English | MEDLINE | ID: mdl-38951567

ABSTRACT

The tumor microenvironment (TME) plays a fundamental role in tumorigenesis, tumor progression, and anti-cancer immunity potential of emerging cancer therapeutics. Understanding inter-patient TME heterogeneity, however, remains a challenge to efficient drug development. This article applies recent advances in machine learning (ML) for survival analysis to a retrospective study of NSCLC patients who received definitive surgical resection and immune pathology following surgery. ML methods are compared for their effectiveness in identifying prognostic subtypes. Six survival models, including Cox regression and five survival machine learning methods, were calibrated and applied to predict survival for NSCLC patients based on PD-L1 expression, CD3 expression, and ten baseline patient characteristics. Prognostic subregions of the biomarker space are delineated for each method using synthetic patient data augmentation and compared between models for overall survival concordance. A total of 423 NSCLC patients (46% female; median age [inter quantile range]: 67 [60-73]) treated with definite surgical resection were included in the study. And 219 (52%) patients experienced events during the observation period consisting of a maximum follow-up of 10 years and median follow up 78 months. The random survival forest (RSF) achieved the highest predictive accuracy, with a C-index of 0.84. The resultant biomarker subtypes demonstrate that patients with high PD-L1 expression combined with low CD3 counts experience higher risk of death within five-years of surgical resection.


Subject(s)
Biomarkers, Tumor , Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Machine Learning , Tumor Microenvironment , Humans , Carcinoma, Non-Small-Cell Lung/pathology , Carcinoma, Non-Small-Cell Lung/mortality , Carcinoma, Non-Small-Cell Lung/surgery , Female , Male , Aged , Middle Aged , Lung Neoplasms/pathology , Lung Neoplasms/mortality , Lung Neoplasms/surgery , Prognosis , Retrospective Studies , Biomarkers, Tumor/metabolism , B7-H1 Antigen/metabolism , Survival Analysis
4.
Neurooncol Adv ; 6(1): vdae080, 2024.
Article in English | MEDLINE | ID: mdl-38957161

ABSTRACT

Background: Meningiomas are the most common primary brain tumors. While most are benign (WHO grade 1) and have a favorable prognosis, up to one-fourth are classified as higher-grade, falling into WHO grade 2 or 3 categories. Recently, an integrated risk score (IRS) pertaining to tumor biology was developed and its prognostic relevance was validated in a large, multicenter study. We hypothesized imaging data to be reflective of the IRS. Thus, we assessed the potential of a machine learning classifier for its noninvasive prediction using preoperative magnetic resonance imaging (MRI). Methods: In total, 160 WHO grade 2 and 3 meningioma patients from 2 university centers were included in this study. All patients underwent surgery with histopathological workup including methylation analysis. Preoperative MRI scans were automatically segmented, and radiomic parameters were extracted. Using a random forest classifier, 3 machine learning classifiers (1 multiclass classifier for IRS and 2 binary classifiers for low-risk and high-risk prediction, respectively) were developed in a training set (120 patients) and independently tested in a hold-out test set (40 patients). Results: Multiclass IRS classification had a test set area under the curve (AUC) of 0.7, mostly driven by the difficulties in clearly separating medium-risk from high-risk patients. Consequently, a classifier predicting low-risk IRS versus medium-/high-risk showed a very high test accuracy of 90% (AUC 0.88). In particular, "sphericity" was associated with low-risk IRS classification. Conclusion: The IRS, in particular molecular low-risk, can be predicted from imaging data with high accuracy, making this important prognostic classification accessible by imaging.

5.
Cureus ; 16(4): e58537, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38957817

ABSTRACT

Metastatic cervical carcinoma from an unknown primary source poses a diagnostic and therapeutic challenge, as it involves the spread of cancer to the neck lymph nodes without a discernible primary tumor despite thorough investigation. While the diagnosis and treatment of this uncommon condition lack definitive evidence, a review of existing literature offers some clinical guidance. A comprehensive diagnostic evaluation, which includes multiple imaging and endoscopic studies, is essential. Surgery is preferred whenever feasible due to its ability to offer more precise staging. This treatment entails an excisional biopsy, neck dissection, and tonsillectomy, but advanced cases necessitate a combination of treatments. This case report underscores this complexity, where, despite radical neck dissection on the affected side, recurrence manifested after two months with no discernible primary site. We emphasize the urgency for continued research and innovative approaches to enhance the diagnosis and management of metastatic cervical carcinoma from an unknown primary source.

7.
Article in English | MEDLINE | ID: mdl-38959174

ABSTRACT

Purpose: Improvements in outcomes for adolescent and young adult (AYA) oncology patients have lagged behind those of other age-specific cancer populations. Research has indicated that low availability of clinical trials, biological differences of this age-group, and several psychosocial factors including higher emotional distress impact outcomes. To improve care and survival rates for these patients, hospitals have implemented AYA oncology programs. The current study evaluated documentation of care in an AYA program housed in an academic medical center based on three areas emphasized in the National Comprehensive Cancer Network's Clinical Practice Guidelines in Oncology for AYAs: clinical trial enrollment, fertility, and psychosocial care. Methods: Retrospective chart reviews were conducted for 45 patients treated before the start of the AYA oncology program and 45 patients treated after program initiation. Patients aged 15-39 years with a diagnosis of a malignant tumor were included. Variables evaluated included documentation of clinical trial enrollment, fertility preservation and sexual health considerations, and behavioral health referrals. Results: Documentation of most clinical trial and fertility variables did not significantly improve from pre- to post-program, although a higher number of patients had these variables documented post-program. Behavioral health referrals increased significantly from 52.8% pre-program to 95.4% post-program. Conclusion: Access to behavioral health care improved the most following implementation of our AYA program, which is likely because of the integration of a dedicated psychologist for AYAs when the program began. The practice of guideline-based care for this population can be better assessed and improved with designated behavioral health providers and more systematic documentation processes.

8.
Article in English | MEDLINE | ID: mdl-38959175

ABSTRACT

Purpose: The AYA Psycho-Oncology Screening Tool was developed to assess adolescent and young adult (AYA) patients' distress during cancer treatment. The on-treatment distress screening tool has been validated with AYAs and includes a 10-point distress thermometer (DT) and a 53-item problem checklist (PCL). However, previous studies have not solely examined AYA cancer distress within a children's hospital. Therefore, our project aimed to explore AYA distress in a pediatric cancer setting. Methods: AYA-aged participants (aged ≥15) were given the distress screener initially within 1 month of diagnosis and every 2, 4, or 6 months, depending on their previous distress score. Chi-square, independent t-tests, and binary logistic regressions were conducted for data analysis. Results: Between January 2021 and July 2022, we completed 123 screenings in 68 AYAs (age 15-30) on treatment. Average DT score was 2.96 with 30% of participants endorsing distress levels of 5 and above. There were statistically significant differences by sex as females endorsed higher levels of distress compared with males. Adolescents (<18) endorsed statistically significant higher frequency of emotional PCL items in comparison with young adults (≥18). There were no differences by race or diagnosis. Conclusions: Our team gained awareness of specific areas of concerns for AYAs, allowing for more targeted interventions for distressed participants. Certain demographic variables may put participants at risk for increased distress. As a result of the project, a protocol has been developed to follow up with participants if they report a certain distress score (5 or above) and/or endorse critical items.

9.
Article in English | MEDLINE | ID: mdl-38960395

ABSTRACT

BACKGROUND: Obesity is known as a risk factor for endometrial cancer (EC). Only a few studies investigate the relationship between sarcopenia and sarcopenic obesity and EC. In this study, our aim was to investigate the relationship between the cross-sectional imaging-based body composition parameters and the disease prognosis in low-grade (LG) and high-grade (HG) EC. MATERIALS AND METHODS: We conducted a retrospective study in women diagnosed with low and high-grade EC between January 2014 and May 2022 who had abdominal MRI and thorax CT as a part of routine staging workup. We used the skeletal muscle index (SMI) at the level of the third lumbar vertebra to assess sarcopenia on CT. The T2-weighted sequence at the level of the L2-L3 intervertebral disc is used for visceral fat area (VFA), subcutaneous fat area (SFA), and total fat area (TFA). Two radiologists in consensus, calculated the parameters. RESULTS: A total of 250 EC patients (144 low-grade EC, 106 high-grade EC).Sarcopenia was observed in 122 (48.8%) patients, and sarcopenic obesity was found in 82 (32.8%) patients. Although there was an increase in VFA in cases with high-grade EC, there was no significant difference in terms of SFA. Additionally, the frequency of sarcopenia and sarcopenic obesity was higher in cases with high-grade EC. There was no association between sarcopenia and age, histological type, FIGO staging, or comorbidity in the univariate analysis. However, BMI was found to be associated with sarcopenia. CONCLUSIONS: Quantitative radiological measurement of sarcopenia, sarcopenic obesity, and body fat composition can be used as novel parameters in the prediction of disease prognosis in endometrial cancer.

10.
Psychooncology ; 33(7): e6369, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38960607

ABSTRACT

OBJECTIVE: Prostate cancer can significantly impact mental wellbeing, creating uncertainty and morbidity. This study described patterns of psychotropic medication and mental health service use, as a proxy measure for mental health problems, 5 years before and 5 years after prostate cancer diagnosis. METHODS: Population-based registry data were linked with Pharmaceutical Benefits Scheme and Medicare Benefits Schedule data for all prostate cancer patients diagnosed in South Australia between 2012 and 2020 (n = 13,693). We estimated the proportion and rates of psychotropic medication and mental health service use before and after diagnosis. Multivariable adjusted interrupted time series analyses (ITSA) were conducted to uncover temporal patterns. RESULTS: Fifteen percent of men commenced psychotropic medications and 6.4% sought out mental health services for the first time after diagnosis. Psychotropic medication use rose from 34.5% 5 years before to 40.3% 5 years after diagnosis, including an increase in use of antidepressants (from 20.7% to 26.0%) and anxiolytics (from 11.3% to 12.8%). Mental health service use increased from 10.2% to 12.1%, with the increase mostly being general practice mental health visits (from 7.8% to 10.6%). Multivariable ITSA indicated a significant rise in medication and service utilisation immediately before and in the first 2 years following prostate cancer diagnosis. CONCLUSION: There is a clear increase in psychotropic medication use and mental health service use around the time of prostate cancer diagnosis. Mental health outcomes of men with prostate cancer may be improved with early mental health screening, particularly during the diagnosis process, to enable early intervention.


Subject(s)
Mental Health Services , Prostatic Neoplasms , Psychotropic Drugs , Humans , Male , Prostatic Neoplasms/drug therapy , Prostatic Neoplasms/psychology , Prostatic Neoplasms/therapy , Aged , Mental Health Services/statistics & numerical data , Middle Aged , Psychotropic Drugs/therapeutic use , South Australia , Aged, 80 and over , Mental Health , Mental Disorders/epidemiology , Mental Disorders/drug therapy , Registries , Interrupted Time Series Analysis , Anti-Anxiety Agents/therapeutic use , Antidepressive Agents/therapeutic use , Patient Acceptance of Health Care/statistics & numerical data
11.
Colorectal Dis ; 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38949106

ABSTRACT

AIM: Follow-up for colorectal cancer (CRC) necessitates regular monitoring of carcinoembryonic antigen (CEA) at the hospital. Capillary home-based blood collection, including minimally invasive techniques such as lancet sampling or an automated upper arm device (TAP-II), has the potential to replace a significant portion of hospital-based blood sampling, thereby enhancing self-reliance and quality of life. The objectives of this study were to assess the feasibility, reliability and preference for CEA blood collection. METHODS: Baseline venous and capillary (by lancet and TAP-II) blood samples were collected from 102 participants, including 20 CRC patients with elevated CEA levels, 60 CRC patients undergoing postoperative outpatient monitoring and 20 healthy volunteers. The second group performed capillary blood collections at home on two consecutive follow-up appointments and subsequently sent them to the hospital. Satisfaction was assessed via patient reported outcome measures on pain, burden, ease of use and preference. RESULTS: The Pearson's correlation test of all usable samples resulted in a linear coefficient of 0.998 (95% CI 0.997-0.998) for the TAP-II method and 0.997 (95% CI 0.996-0.998) for the lancet method, both compared to venipuncture. Following the initial blood collection, 86% of the participants (n = 102) favoured the TAP-II, rating it as the least painful and burdensome option. After two home-based blood samples, the preference for the TAP-II method persisted, with 64% of the patients endorsing its use. CONCLUSION: This study demonstrated the feasibility of home-based capillary sampling of CEA. The TAP-II blood collection is the most reliable method and is preferred by patients over venipuncture and lancet sampling.

12.
Front Psychol ; 15: 1338193, 2024.
Article in English | MEDLINE | ID: mdl-38966736

ABSTRACT

Objectives: Disclosing information on diagnosis, prognosis and treatment is a delicate process in oncology, although awareness levels have over time increased in people with cancer. However, individual characteristics should be considered when communicating difficult information. We conducted a multicentric study to explore the moderating role of coping styles on the relationship between information about cancer, quality of life and psychological distress. Methods: In the period between October 2015 and February 2016, 288 patients with a diagnosis of a solid tumor were recruited from seven Italian oncology units. All participants were administered the Distress Thermometer (DT), the Mini-Mental Adjustment to Cancer (Mini-MAC), the European Organization for Research and Treatment of Cancer (EORTC) Core Quality of Life Questionnaire (QLQ-C30), and the EORTC QLQ 25-item information module (INFO25). We explored the moderating effect of coping style with quality of life (QoL) and distress (DT) as dependent variables and information on cancer treatment as independent variable. Results: Low levels of anxious preoccupation significantly moderated the relationship between information on treatment and QoL (R2 6%, p < 0.001), while low and medium levels of hopelessness significantly moderated the relationship between information on treatment and DT (R2 = 14%, p = 0.033). Adaptive coping strategies, such as fighting spirit and fatalism, and borderline strategies such as avoidance, did not play a role in this relationship. Conclusion: Taking into account and evaluating coping mechanisms in cancer care is a priority when disclosing information on treatments, in order to tailor communication style to individual features.

13.
Acta Med Philipp ; 58(3): 70-75, 2024.
Article in English | MEDLINE | ID: mdl-38966846

ABSTRACT

This is a case report of a 76-year-old Filipino male who presented with a six-year history of a steadily growing left breast mass. The mass was eventually diagnosed to be Invasive Ductal Carcinoma, Anatomic and Prognostic Stage IIIB (T4b cN0 M0), Grade 3, Luminal A. Subsequently, the patient underwent neoadjuvant chemotherapy of doxorubicin/cyclophosphamide and paclitaxel, followed by modified radical mastectomy with axillary lymph node dissection, concluded by post-mastectomy radiation therapy. The patient had complete clinical response to this trimodality therapy. The rarity of this case is juxtaposed and integrated with the present literature on male breast cancer.

14.
J Neurosurg ; : 1-9, 2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38968626

ABSTRACT

OBJECTIVE: Malignant gliomas constitute the most common type of primary malignant brain tumors. Most previous studies have evaluated the epidemiology of malignant gliomas in developed countries. Hence, there is a lack of evidence in this regard from developing countries. This study is the first epidemiological report on the status of malignant glioma in Iran between 2009 and 2017. METHODS: Data from the Iranian National Population-based Cancer Registry (covering 98% of the Iranian population) on CNS tumors recorded from 2009 to 2017 were used for analysis. Age-adjusted incidence rates were calculated by sex, tumor histology, tumor site, and year of diagnosis. Trend analysis of incidence rates was also performed. Survival data were recorded and the Cox proportional hazards model was used to evaluate underlying risk factors. RESULTS: A total of 8484 patients were diagnosed with malignant glioma between 2009 and 2017 in Iran. The overall age-adjusted incidence rate of malignant gliomas over the 9-year period was 1.71 per 100,000 persons. The most common histology of malignant gliomas was glioblastoma (81.4%). A significant increase in the incidence of malignant gliomas was found between 2009 and 2012. The median overall survival was 13.0 (95% CI 12.6-13.5) months over the study period. Older age groups, higher tumor grade, male sex, the first half of the study period, and receiving no treatment were significantly associated with worse prognoses. CONCLUSIONS: This study is the latest epidemiological report on the status of malignant gliomas in Iran. Although the overall incidence rate was lower than the rates in developed countries, several findings were consistent with those in prior reports.

15.
Comput Methods Programs Biomed ; 254: 108308, 2024 Jun 28.
Article in English | MEDLINE | ID: mdl-38968829

ABSTRACT

BACKGROUND AND OBJECTIVE: In the field of lung cancer research, particularly in the analysis of overall survival (OS), artificial intelligence (AI) serves crucial roles with specific aims. Given the prevalent issue of missing data in the medical domain, our primary objective is to develop an AI model capable of dynamically handling this missing data. Additionally, we aim to leverage all accessible data, effectively analyzing both uncensored patients who have experienced the event of interest and censored patients who have not, by embedding a specialized technique within our AI model, not commonly utilized in other AI tasks. Through the realization of these objectives, our model aims to provide precise OS predictions for non-small cell lung cancer (NSCLC) patients, thus overcoming these significant challenges. METHODS: We present a novel approach to survival analysis with missing values in the context of NSCLC, which exploits the strengths of the transformer architecture to account only for available features without requiring any imputation strategy. More specifically, this model tailors the transformer architecture to tabular data by adapting its feature embedding and masked self-attention to mask missing data and fully exploit the available ones. By making use of ad-hoc designed losses for OS, it is able to account for both censored and uncensored patients, as well as changes in risks over time. RESULTS: We compared our method with state-of-the-art models for survival analysis coupled with different imputation strategies. We evaluated the results obtained over a period of 6 years using different time granularities obtaining a Ct-index, a time-dependent variant of the C-index, of 71.97, 77.58 and 80.72 for time units of 1 month, 1 year and 2 years, respectively, outperforming all state-of-the-art methods regardless of the imputation method used. CONCLUSIONS: The results show that our model not only outperforms the state-of-the-art's performance but also simplifies the analysis in the presence of missing data, by effectively eliminating the need to identify the most appropriate imputation strategy for predicting OS in NSCLC patients.

16.
Eur J Surg Oncol ; 50(9): 108513, 2024 Jun 27.
Article in English | MEDLINE | ID: mdl-38968854

ABSTRACT

INTRODUCTION: Comparative studies on surgical treatments with time-to-event endpoints have provided substantial evidence for clinical practice, but the accurate use of survival data analysis and the control of confounding bias remain big challenges. METHODS: This was a survey of surgical studies with survival outcomes published in four general medical journals and five general surgical journals in 2021. The two most concerned statistical issues were evaluated, including confounding control by propensity score analysis (PSA) or multivariable analysis and testing of proportional hazards (PH) assumption in Cox model. RESULTS: A total of 74 studies were included, comprising 63 observational studies and 11 randomized controlled trials. Among the observational studies, the proportion of studies utilizing PSA in surgical oncology and non-oncology studies was similar (40.9 % versus 36.8 %, P = 0.762). However, the former reported a significantly lower proportion of PH assumption assessments compared to the latter (13.6 % versus 42.1 %, P = 0.020). Twenty-five observational studies (25/63) used PSA methods, but two-thirds of them (17/25) showed unclear balance of baseline data after PSA. And the proportion of PH assumption testing after PSA was slightly lower than that before PSA, but the difference was not statistically significant (24.0 % versus 28.0 %, P = 0.317). Comprehensive suggestions were given on confounding control in survival analysis and alternative resolutions for non-compliance with PH assumption. CONCLUSION: This study highlights suboptimal reporting of PH assumption evaluation in observational surgical studies both before and after PSA. Efforts and consensus are needed with respect to the underlying assumptions of statistical methods.

17.
BMJ Case Rep ; 17(7)2024 Jul 05.
Article in English | MEDLINE | ID: mdl-38969395

ABSTRACT

Solid pseudopapillary neoplasm of the pancreas (SPNP) is a rare entity. In this study, we present a woman in her 20's who presented for evaluation of two separate pancreatic masses. On imaging and biopsy, the tail lesion was thought to be a neuroendocrine tumour and the body lesion was thought to be a metastatic lymph node. The patient was brought to the operating room and underwent a distal pancreatectomy and splenectomy. The patient had an uneventful postoperative course and was discharged home on postoperative day 4. Pathology confirmed both masses were consistent with the diagnosis of well-differentiated SPNP with no signs of malignancy including lymphovascular or perineural invasion, or lymph node involvement.


Subject(s)
Pancreatectomy , Pancreatic Neoplasms , Splenectomy , Humans , Pancreatic Neoplasms/surgery , Pancreatic Neoplasms/pathology , Pancreatic Neoplasms/diagnostic imaging , Pancreatic Neoplasms/diagnosis , Female , Pancreatectomy/methods , Carcinoma, Papillary/surgery , Carcinoma, Papillary/pathology , Carcinoma, Papillary/diagnostic imaging , Carcinoma, Papillary/diagnosis , Young Adult , Diagnosis, Differential , Pancreas/pathology , Pancreas/diagnostic imaging , Tomography, X-Ray Computed
18.
BMC Med Educ ; 24(1): 715, 2024 Jul 02.
Article in English | MEDLINE | ID: mdl-38956512

ABSTRACT

BACKGROUND: Sickle cell disease (SCD) exemplifies many of the social, racial, and healthcare equity issues in the United States. Despite its high morbidity, mortality, and cost of care, SCD has not been prioritized in research and clinical teaching, resulting in under-trained clinicians and a poor evidence base for managing complications of the disease. This study aimed to perform a needs assessment, examining the perspectives of medical trainees pursuing hematology/oncology subspecialty training regarding SCD-focused education and clinical care. METHOD: Inductive, iterative thematic analysis was used to explore qualitative interviews of subspecialty hematology-oncology trainees' attitudes and preferences for education on the management of patients with SCD. Fifteen trainees from six programs in the United States participated in 4 focus groups between April and May 2023. RESULTS: Thematic analysis resulted in 3 themes: 1. Discomfort caring for patients with SCD. 2. Challenges managing complications of SCD, and 3. Desire for SCD specific education. Patient care challenges included the complexity of managing SCD complications, limited evidence to guide practice, and healthcare bias. Skill-building challenges included lack of longitudinal exposure, access to expert clinicians, and didactics. CONCLUSIONS: Variations in exposure, limited formal didactics, and a lack of national standardization for SCD education during training contributes to trainees' discomfort and challenges in managing SCD, which in turn, contribute to decreased interest in entering the SCD workforce. The findings underscore the need for ACGME competency amendments, dedicated SCD rotations, and standardized didactics to address the gaps in SCD education.


Subject(s)
Anemia, Sickle Cell , Focus Groups , Needs Assessment , Qualitative Research , Humans , Anemia, Sickle Cell/therapy , Male , Female , United States , Attitude of Health Personnel , Hematology/education , Medical Oncology/education , Adult , Clinical Competence , Education, Medical, Graduate
19.
Ann Hematol ; 2024 Jul 04.
Article in English | MEDLINE | ID: mdl-38963447

ABSTRACT

Advances in treatment have improved the survival of multiple myeloma (MM) patients, but the disease remains incurable. Here, in this nationwide retrospective real-world evidence (RWE) study, we report the patient characteristics, incidence, overall survival outcomes, comorbidities, and healthcare resource utilization (HCRU) of all adult MM patients diagnosed between 2000 and 2021 in Finland. A total of 7070 MM patients and their 21,210 age-, sex- and region-matched controls were included in the analysis. The average MM incidence doubled from 4.11 to 8.33 per 100,000 people during the follow-up. The average age-standardized incidence also showed a significant increase over time (2.51 in 2000 to 3.53 in 2021). An increase in incidence was particularly seen in older population, indicative of improved diagnosis praxis. The median overall survival (mOS) of the MM patients and their matched controls was 3.6 and 15.6 years, respectively. The mOS of all MM patients increased significantly from 2.8 years (2000-2004) to 4.4 years (2017-2021) during the follow-up period. Distinctively, in patients who received autologous stem cell transplantation (ASCT), the mOS was 9.2 years, while in patients who did not receive ASCT, the mOS was only 2.7 years. MM patients showed more comorbidities at index and increased HCRU than their matched controls. The longer median survival and decreased risk of death indicate improved treatment outcomes in MM patients in Finland.

20.
Geroscience ; 2024 Jul 04.
Article in English | MEDLINE | ID: mdl-38963649

ABSTRACT

Prognostic information is needed to balance benefits and risks of cancer treatment in older patients. Metabolomics-based scores were previously developed to predict 5- and 10-year mortality (MetaboHealth) and biological age (MetaboAge). This study aims to investigate the association of MetaboHealth and MetaboAge with 1-year mortality in older patients with solid tumors, and to study their predictive value for mortality in addition to established clinical predictors. This prospective cohort study included patients aged ≥ 70 years with a solid malignant tumor, who underwent blood sampling and a geriatric assessment before treatment initiation. The outcome was all-cause 1-year mortality. Of the 192 patients, the median age was 77 years. With each SD increase of MetaboHealth, patients had a 2.32 times increased risk of mortality (HR 2.32, 95% CI 1.59-3.39). With each year increase in MetaboAge, there was a 4% increased risk of mortality (HR 1.04, 1.01-1.07). MetaboHealth and MetaboAge showed an AUC of 0.66 (0.56-0.75) and 0.60 (0.51-0.68) for mortality prediction accuracy, respectively. The AUC of a predictive model containing age, primary tumor site, distant metastasis, comorbidity, and malnutrition was 0.76 (0.68-0.83). Addition of MetaboHealth increased AUC to 0.80 (0.74-0.87) (p = 0.09) and AUC did not change with MetaboAge (0.76 (0.69-0.83) (p = 0.89)). Higher MetaboHealth and MetaboAge scores were associated with 1-year mortality. The addition of MetaboHealth to established clinical predictors only marginally improved mortality prediction in this cohort with various types of tumors. MetaboHealth may potentially improve identification of older patients vulnerable for adverse events, but numbers were too small for definitive conclusions. The TENT study is retrospectively registered at the Netherlands Trial Register (NTR), trial number NL8107. Date of registration: 22-10-2019.

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