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  • 1
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    Online Resource
    A framework for building a clinically relevant risk model.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 6554-6554
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 6554-6554
    Abstract: 6554 Background: Acute care accounts for half of cancer expenditures and is a measure of poor quality care. Identifying patients at high risk for emergency department (ED) visits enables institutions to target resources to those most likely to benefit. Risk stratification models developed to date have not been meaningfully employed in oncology, and there is a need for clinically relevant models to improve patient care. Methods: We established and applied a predictive framework for clinical use with attention to modeling technique, clinician feedback, and application metrics. The model employs electronic health record data from initial visit to first antineoplastic administration for patients at our institution from January 2014 to June 2017. The binary dependent variable is occurrence of an ED visit within the first 6 months of treatment. The final regularized multivariable logistic regression model was chosen based on clinical and statistical significance. In order to accommodate for the needs to the program, parameter selection and model calibration were optimized to suit the positive predictive value of the top 25% of observations as ranked by model-determined risk. Results: There are 5,752 antineoplastic administration starts in our training set, and 1,457 in our test set. The positive predictive value of this model for the top 25% riskiest new start antineoplastic patients is 0.53. From over 1,400 data features, the model was refined to include 400 clinically relevant ones spanning demographics, pathology, clinician notes, labs, medications, and psychosocial information. At the patient level, specific features determining risk are surfaced in a web application, RiskExplorer, to enable clinician review of individual patient risk. This physician facing application provides the individual risk score for the patient as well as their quartile of risk when compared to the population of new start antineoplastic patients. For the top quartile of patients, the risk for an ED visit within the first 6 months of treatment is greater than or equal to 49%. Conclusions: We have constructed a framework to build a clinically relevant risk model. We are now piloting it to identify those likely to benefit from a home-based, digital symptom management intervention.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.6554
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 2
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    Online Resource
    Employing electronic health record data to predict risk of ED visits for new patients.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 34_suppl ( 2018-12-01), p. 144-144
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 34_suppl ( 2018-12-01), p. 144-144
    Abstract: 144 Background: Acute care accounts for half of cancer expenditures and is a measure of poor quality care. Identifying patients at high risk for ED visits enables institutions to target symptom management resources to those most likely to benefit. Risk stratification models developed to date have not been meaningfully employed in oncology, and there is a need for clinically relevant models to improve patient care. Methods: We established a predictive analytics framework for clinical use with attention to the modeling technique, clinician feedback, and application metrics. The model employs EHR data from initial visit to first antineoplastic administration for new patients at our institution from January 2014 to June 2017. The binary dependent variable is occurrence of an ED visit within the first 6 months of treatment. From over 1,400 data features, the model was refined to include 400 clinically relevant ones spanning demographics, pathology, clinician notes, labs, medications, and psychosocial information. Clinician review was performed to confirm EHR data input validity. The final regularized multivariate logistic regression model was chosen based on clinical and statistical significance. Parameter selection and model evaluation utilized the positive predictive value for the top 25% of observations ranked by model-determined risk. The final model was evaluated using a test set containing 20% of randomly held out data. The model was calibrated based on a 5-fold cross-validation scheme over the training set. Results: There are 5,752 antineoplastic starts in our training set, and 1,457 in our test set. The positive predictive value of this model for the top 25% riskiest new start antineoplastic patients is 0.53. The 400 clinically relevant features draw from multiple areas in the EHR. For example, those features found to increase risk include: combination chemotherapy, low albumin, social work needs, and opioid use, whereas those found to decrease risk include stage 1 disease, never smoker status, and oral antineoplastic therapy. Conclusions: We have constructed a framework to build a clinically relevant model. We are now piloting it to identify those likely to benefit from a home-based, digital symptom management intervention.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.34_suppl.144
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 3
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    Online Resource
    Treatment response and clinical outcomes of well-differentiated high-grade neuroendocrine tumors to 177Lu-DOTATATE.
    American Society of Clinical Oncology (ASCO) ; 2021
    In:  Journal of Clinical Oncology Vol. 39, No. 3_suppl ( 2021-01-20), p. 368-368
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 39, No. 3_suppl ( 2021-01-20), p. 368-368
    Abstract: 368 Background: 177 Lu-DOTATATE is an approved therapy for somatostatin receptor (sstr) positive gastroenteropancreatic neuroendocrine tumors (NETs). There are little data available on response and outcomes for well differentiated (WD) high grade (HG) NETs treated with 177 Lu-DOTATATE. Methods: Pts with WD HGNETs treated with 177 Lu-DOTATATE at MSK from 2018-2020 were identified. Demographics, response to treatment, and progression-free survival (PFS) were determined. In pts with archival tumor tissue, next-generation sequencing (NGS) was performed through an institutional platform (MSK-IMPACT). Results: 19 pts were identified (mean age 54, 63% female). Site of tumor origin included: pancreas (14/19, 74%), small bowel (2/19, 10.5%), rectal (2/19, 10.5%), lung (1/19, 5%). Average tumor Ki-67 was 34.8 (range 22-56). All tumors were sstr avid on pre-treatment Ga68-DOTATATE PET/CT; none of the patients had sstr negative lesions detected. Median number of prior treatments (systemic and/or liver-directed) was 4 (range 2-7). All pts had progressive disease prior to initiation of 177 Lu-DOTATATE. 13 pts (68%) completed all four treatment cycles; treatment was incomplete in 6 pts due to treatment-related toxicities (n = 3) and clinical progression (n = 3). Best response by radiographic report was available in 16 patients (84%):10/16 (63%) with partial response, 1/16 (6%) with stable disease, 5/16 (31%) with disease progression. One pt with stable disease as best response received two additional cycles of 177 Lu-DOTATATE at progression. Median PFS (from date of first treatment with 177 Lu-DOTATATE until progression/death) was 11.1 months (95% CI 10.6 to NA). Five pts (26%) experienced dose modifying toxicity with 177 Lu-DOTATATE. The most common treatment-related toxicities were thrombocytopenia (9 pts, 47%; G3/4 in 1 pt, 5%), anemia (7 pts, 37%; G3/4 in 2 pts, 10.5%), leukopenia (6 pts, 32%; G3/4 in 0 pts), and AST/ALT elevation (4 pts, 21%; G3/4 in 0 pts). NGS results were available in the tumor tissue of 13 pts (68%). The most commonly observed alterations were in MEN1 (6/13, 46%) and DAXX (4/13, 31%). No RB1 alterations were identified. Conclusions: We observed a meaningful disease control rate of 69% during treatment of WD HGNETs with 177 Lu-DOTATATE. In this heavily pre-treated population, more than half of pts received all four treatment cycles with treatment-related toxicities largely bone-marrow related, as expected, based on historical data. As would be expected in sstr avid tumors, the vast majority had alterations in chromatin remodeling genes (MEN1, DAXX) consistent with WD NETs, with no RB1 alterations identified.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2021.39.3_suppl.368
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2021
    detail.hit.zdb_id: 2005181-5
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  • 4
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    Online Resource
    Emergency department (ED) presenting symptom clusters for chemotherapy patients.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 15_suppl ( 2018-05-20), p. e18509-e18509
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. e18509-e18509
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.15_suppl.e18509
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 5
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    Online Resource
    Risk stratification and daily symptom monitoring for oncology patients.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. 6535-6535
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. 6535-6535
    Abstract: 6535 Background: Monitoring and managing patient reported outcomes (PROs) has been recommended for oncology patients on active treatment but can be time and resource intensive. Identifying patients likely to benefit and the optimal frequency of PRO capture is still under investigation. We tested the feasibility of monitoring patients who are high-risk risk for acute care with daily PROs. Methods: Using data from our institution, we developed a model that employs over 400 clinical variables to calculate a patient’s risk of an emergency room visit within 6 months following the onset of treatment. From October 15, 2018 to January 23, 2019, we enrolled patients identified as high risk through a technology-enabled program to monitor and manage those patients’ symptoms. Enrolled patients entered PRO assessments daily via an online portal. Symptoms were monitored and managed by a centralized clinical team. Tiered notifications informed the team of concerning or escalating symptoms. We assessed how frequently patients completed symptom assessments and the frequency of symptom notifications. Results: During the pilot, 28 patients were identified as high risk and enrolled in the program (median age 65; 64% percent female). Disease types were: 15 (54%) thoracic, 7 (25%) gynecologic, 6 (21%) gastrointestinal. Median time in the program was 50 (6-98) days. Patients completed 840 of 1,350 assessments (62%). There were 328 assessments that triggered moderate alerts (39%) and 220 that triggered severe alerts (26%). The table describes the prevalence of symptoms at the patient-level. Conclusions: A model can be employed to identify high-risk patients in collaboration with clinicians. Our adherence rate with a daily symptom assessment was similar to those found in studies of less frequent PRO capture. Future work will expand to a larger patient population with other cancer types, evaluate impact on outcomes, and assess optimal frequency for PRO collection and alert thresholds. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.6535
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    Employing electronic health record data to predict risk of emergency department visits for new patients.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 30_suppl ( 2018-10-20), p. 314-314
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 30_suppl ( 2018-10-20), p. 314-314
    Abstract: 314 Background: Acute care accounts for half of cancer expenditures and is a measure of poor quality care. Identifying patients at high risk for ED visits enables institutions to target symptom management resources to those most likely to benefit. Risk stratification models developed to date have not been meaningfully employed in oncology, and there is a need for clinically relevant models to improve patient care. Methods: We established a predictive analytics framework for clinical use with attention to the modeling technique, clinician feedback, and application metrics. The model employs EHR data from initial visit to first antineoplastic administration for new patients at our institution from January 2014 to June 2017. The binary dependent variable is occurrence of an ED visit within the first 6 months of treatment. From over 1,400 data features, the model was refined to include 400 clinically relevant ones spanning demographics, pathology, clinician notes, labs, medications, and psychosocial information. Clinician review was performed to confirm EHR data input validity. The final regularized multivariate logistic regression model was chosen based on clinical and statistical significance. Parameter selection and model evaluation utilized the positive predictive value for the top 25% of observations ranked by model-determined risk. The final model was evaluated using a test set containing 20% of randomly held out data. The model was calibrated based on a 5-fold cross-validation scheme over the training set. Results: There are 5,752 antineoplastic starts in our training set, and 1,457 in our test set. The positive predictive value of this model for the top 25% riskiest new start antineoplastic patients is 0.53. The 400 clinically relevant features draw from multiple areas in the EHR. For example, those features found to increase risk include: combination chemotherapy, low albumin, social work needs, and opioid use, whereas those found to decrease risk include stage 1 disease, never smoker status, and oral antineoplastic therapy. Conclusions: We have constructed a framework to build a clinically relevant model. We are now piloting it to identify those likely to benefit from a home-based, digital symptom management intervention.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.30_suppl.314
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 7
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    Online Resource
    High frequency mismatch repair (MMR) pathway mutations in adrenocortical carcinoma: Indication for routine MMR-deficiency (MMR-D) testing.
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 15_suppl ( 2018-05-20), p. e16195-e16195
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 15_suppl ( 2018-05-20), p. e16195-e16195
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2018.36.15_suppl.e16195
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 8
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    Online Resource
    Benefit of early-phase targeted, basket, and immune-based trials for patients with chemorefractory gastrointestinal (GI) cancers.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 15_suppl ( 2019-05-20), p. e15700-e15700
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 15_suppl ( 2019-05-20), p. e15700-e15700
    Abstract: e15700 Background: Historically, phase I trials were designed to establish phase II tolerable doses of new drugs. Efficacy concerns were secondary. In the modern era of targeted and immune-based therapies, investigator and patient expectations of efficacy in such trials have increased. Patients (pts) who have exhausted standard treatment options often seek participation in phase I drug development or phase II basket studies, with hope for therapeutic benefit. We assessed the benefit to pts with chemorefractory GI cancers from investigational early drug development trials at our institution. Methods: We reviewed the referral records of our Early Drug Development and Immunotherapy Services to identify pts referred from our GI Oncology Service in 2018. As pts are typically not referred unless with performance status 0-1, and normal liver, renal, and marrow function, those requesting early phase studies but not meeting these criteria were excluded from this analysis. End points were enrollment on a trial, 3 and 6-month PFS, and tumor shrinkage. Results: Of 245 GI Oncology pts referred in 2018, 26 (11%) were accrued to a trial: 14 to immune-based (1 withdrew before treatment) and 12 to targeted (3 to phase II basket): median age 53 (range 23-76); 15 female. GI cancer types included: colon (7), pancreas (7), cholangiocarcinoma (4), rectal (3), and appendiceal, peritoneal mesothelioma, small bowel, unknown primary, and gastric (1). Most common reasons for non-accrual were lack of available treatment spots and failure to meet eligibility criteria for specific trials. Of 22 pts with adequate follow up at time of analysis, none achieved 6-month PFS; one (5%) met 3-month PFS with tumor growth below RECIST criteria at 3 months and came off study for progression at 4 months. No pts achieved any degree of tumor shrinkage while receiving trial drugs. Conclusions: Phase I and phase II basket options for chemorefractory GI cancers were limited relative to demand. Benefit from investigational treatment in this patient population was limited; expectations may be overstated. Further research is underway to evaluate pts’ expectations for therapeutic benefit from early phase targeted and immune-based trials.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2019.37.15_suppl.e15700
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 9
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    Online Resource
    Oxaliplatin can be safely infused at a rate of 1mg/m 2 /min.
    American Society of Clinical Oncology (ASCO) ; 2015
    In:  Journal of Clinical Oncology Vol. 33, No. 15_suppl ( 2015-05-20), p. e14665-e14665
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 33, No. 15_suppl ( 2015-05-20), p. e14665-e14665
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2015.33.15_suppl.e14665
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2015
    detail.hit.zdb_id: 2005181-5
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  • 10
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    Online Resource
    The management of small asymptomatic pancreatic neuroendocrine tumors: A matched case-control study.
    American Society of Clinical Oncology (ASCO) ; 2015
    In:  Journal of Clinical Oncology Vol. 33, No. 3_suppl ( 2015-01-20), p. 239-239
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 33, No. 3_suppl ( 2015-01-20), p. 239-239
    Abstract: 239 Background: Overdiagnosis and overtreatment has become an evolving challenge for several cancer sub-types. We hypothesized that a substantial portion of incidentally diagnosed small pancreatic neuroendocrine tumors(PanNET) are overtreated as a result of overdiagnosis and that non-operative management may be reasonable for selected patients. Methods: Consecutive patients evaluated for incidentally discovered, sporadic, stage I-II PanNET were analyzed retrospectively. Diagnosis was determined either by pathology or unequivocal imaging characteristics. Patients selected for radiographic surveillance (RS) were matched with patients who underwent resection based on tumor size at initial imaging. Clinicopathological characteristics were compared between the groups. Results: During the study period (2000-2013), RS was recommended for 80 patients, and 79 matched patients underwent resection (resection group). Pathologic diagnosis was obtained in 42 (53%) of the 80 RS patients. Median initial tumor size was similar between the RS vs resection groups (1.2cm (0.8-1.7) vs 1.3 cm (1-1.9), respectively, p=0.4). The resection group was younger and had a longer median follow-up compared to the RS group (58 vs 65 years, p 〈 0.001; 50 vs 29 months, p=0.006; respectively). At the time of last follow-up of the RS group, median tumor size had not changed (1.2cm, p=0.4), no patient had developed metastases, and no patient had experienced radiographic changes in the primary tumor that prompted resection. Within the resection group, low-grade (G1) pathology was recorded in 74 (95%) tumors, one patient had node positive disease, and five developed recurrence (6%). The postoperative complication rate was 36%. No patient in either group died from disease. Death from other causes occurred in 7 out of 159(4%) patients. Conclusions: In this study, no patient who was selected for observation developed metastases or died from disease after a median follow-up of almost 2.5 years.Radiographic surveillance for stable, small, incidentally discovered PanNETs is reasonable in selected patients.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/jco.2015.33.3_suppl.239
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2015
    detail.hit.zdb_id: 2005181-5
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