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  • 1
    Online Resource
    Online Resource
    Comparison of an oncology clinical decision-support system’s recommendations with actual treatment decisions
    Oxford University Press (OUP) ; 2021
    In:  Journal of the American Medical Informatics Association Vol. 28, No. 4 ( 2021-03-18), p. 832-838
    Details
    In: Journal of the American Medical Informatics Association, Oxford University Press (OUP), Vol. 28, No. 4 ( 2021-03-18), p. 832-838
    Abstract: IBM(R) Watson for Oncology (WfO) is a clinical decision-support system (CDSS) that provides evidence-informed therapeutic options to cancer-treating clinicians. A panel of experienced oncologists compared CDSS treatment options to treatment decisions made by clinicians to characterize the quality of CDSS therapeutic options and decisions made in practice. Methods This study included patients treated between 1/2017 and 7/2018 for breast, colon, lung, and rectal cancers at Bumrungrad International Hospital (BIH), Thailand. Treatments selected by clinicians were paired with therapeutic options presented by the CDSS and coded to mask the origin of options presented. The panel rated the acceptability of each treatment in the pair by consensus, with acceptability defined as compliant with BIH’s institutional practices. Descriptive statistics characterized the study population and treatment-decision evaluations by cancer type and stage. Results Nearly 60% (187) of 313 treatment pairs for breast, lung, colon, and rectal cancers were identical or equally acceptable, with 70% (219) of WfO therapeutic options identical to, or acceptable alternatives to, BIH therapy. In 30% of cases (94), 1 or both treatment options were rated as unacceptable. Of 32 cases where both WfO and BIH options were acceptable, WfO was preferred in 18 cases and BIH in 14 cases. Colorectal cancers exhibited the highest proportion of identical or equally acceptable treatments; stage IV cancers demonstrated the lowest. Conclusion This study demonstrates that a system designed in the US to support, rather than replace, cancer-treating clinicians provides therapeutic options which are generally consistent with recommendations from oncologists outside the US.
    Type of Medium: Online Resource
    ISSN: 1527-974X
    URL: Article
    DOI: 10.1093/jamia/ocaa334
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2018371-9
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  • 2
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    Early-onset colorectal cancer in younger patients: A population-based study.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 29_suppl ( 2020-10-10), p. 124-124
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 29_suppl ( 2020-10-10), p. 124-124
    Abstract: 124 Background: In the US, the incidence of colorectal cancer (CRC) is increasing in patients younger than 50 years who may present with advanced stage, high grade, left-sided colon or rectal cancers with signet ring cell histopathology, aggressive clinical course, and reduced overall survival. Understanding the characteristics of this population could inform screening, early detection, and optimal treatment. In this study, we describe the attributes of adults who are 50 years and younger with a first diagnosis of CRC and ascertain molecular testing rates and time to surgery by using data from a commercially insured cohort in the U.S. Methods: This retrospective study of patients ages 50 and younger with a first diagnosis of CRC utilizes the IBM MarketScan database, and focuses on claims from January 2013 to December 2018. Included patients had continuous insurance enrollment of 12 months before and 6 months after diagnosis. We determined rates of tumor testing for microsatellite instability (MSI) or immunohistochemistry (IHC) for mismatch repair (MMR) proteins and referral to genetic services in all patients, as well as mutational analysis of KRAS, NRAS, and BRAF in metastatic CRC patients. Time to surgical resection of primary tumor (TTS) in non-metastatic colon cancer patients was measured. Results: During the 5-year period, 10,577 patients ages 18 to 50 years had a first diagnosis of CRC, which was 15.6% of the 67,921 adults of all ages with CRC. Claims for MSI or IHC for MMR proteins within 120 days of initial diagnosis were done in 4,429 (41.9%) patients and referral to genetics services/counseling within 1 year of initial diagnosis were done in 443 (4.1%) patients. Among metastatic CRC patients, KRAS, NRAS, or BRAF tumor mutational analyses within 120 days of initial diagnosis were documented in 323 (31.5%). The median TTS ranged from 7 to 15 days with no statistically significant differences based on geographic region or health insurance plan type. Conclusions: Younger patients with early onset CRC had low rates of referral to genetics services, tumor MSI or IHC for MMR proteins testing, and KRAS, NRAS, and BRAF mutational analysis. There were no geographic or insurance type trends in TTS in non-metastatic colon cancer patients. Although underreporting is possible in our study, the findings of low utilization of genetic services and tumor genomic testing in these younger patients with early onset CRC should alert the oncology community to critical management gaps in the care of this population.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.29_suppl.124
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 3
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    A review of gynecological cancers studies of concordance with individual clinicians or multidisciplinary tumor boards for an artificial intelligence-based clinical decision-support system.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e14070-e14070
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e14070-e14070
    Abstract: e14070 Background: Watson for Oncology (WfO) is an artificial intelligence-based clinical decision-support system that offers potential therapeutic options to cancer-treating physicians. We reviewed studies of concordance between therapeutic options offered by WfO and treatment decisions made by individual clinicians (IC) and multidisciplinary tumor boards (MTB) in practice in gynecological cancers. Methods: We searched PubMed and an internal database to identify peer-reviewed WfO concordance studies of gynecological cancers published between 01/01/2015 and 06/30/2019. Concordance was defined as agreement between therapeutic options recommended or offered for consideration by WfO and treatment decisions made by IC or MTB. Mean concordance was calculated as a weighted average based on the number of patients per study. Statistical significance was evaluated by z-test of two proportions. Results: Our search identified 5 retrospective studies with 635 patients with cervical and ovarian cancers in China and Thailand; 4 compared WfO to MTB and 1 to IC. Overall WfO concordance with MTB and IC for both cancers was 77.2% (SD 11.6%). The concordance between MTB and WfO in cervical and ovarian cancers was 80.5% and 86.2%, respectively ( P = .21); IC concordance with WfO in cervical and ovarian cancers was 65.2% and 73.2%, respectively ( P = .18). MTB concordance with WfO for both cancers combined was 81.5%, significantly higher than the 67.9% IC concordance with WfO for both cancers ( P = .01). Conclusions: Studies of cervical and ovarian cancers demonstrated a statistically significantly higher concordance of MTB and WfO than IC and WFO, suggesting a role for WfO in supporting treatment-decision making in gynecological cancers that aligns with decisions made by MTB. Larger prospective studies are needed to evaluate the technical performance, usability, workflow integration, and clinical impact of WfO in gynecological cancers.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.e14070
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 4
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    Online Resource
    Associations between concordance with oncology clinical decision support and clinical outcomes in lung cancer patients.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e14114-e14114
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e14114-e14114
    Abstract: e14114 Background: Watson for Oncology (WfO) is an artificial intelligence-based clinical decision-support system which provides therapeutic options and associated scientific evidence to cancer-treating physicians. Oncologists at Bumrungrad International Hospital (BIH) have used WfO since 2015. We examined the association between concordance of WfO therapeutic options and BIH treatment decisions with short-term clinical outcomes for lung cancer patients. Methods: This study included lung cancer patients seen at BIH for treatment and follow-up care and for whom WfO was used from 2015 to 2018. Charts were reviewed for concordance with WfO, documentation of disease progression, response to treatment, and survival. We evaluated concordance between oncologists’ treatments and therapeutic options listed as “recommended” by WfO. We evaluated association between WfO concordance and partial or complete response rates over a 24-month period by comparison of proportions with odds ratio. Progression-free survival (PFS, time from diagnosis until progression or death) was evaluated by Kaplan-Meier log-rank test. Results: Seventy-nine lung cancer patients were included. We identified a trend towards higher response rates in concordant cases (59.2%, N = 32), as compared to discordant (48.0%, N = 12), with an odds ratio of 1.56 (see table). There was not a significant difference in PFS between concordant and discordant cohorts. Conclusions: In this small-cohort, retrospective study, lung cancer patients receiving treatments that are concordant with WfO recommended therapeutic options trended towards higher response rates than patients with discordant treatments. Use of a clinical decision-support system may help support cancer-treating physicians in delivering best practice and evidence-based care that may improve short-term outcomes. Prospective studies with larger samples and other cancer types are underway. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.e14114
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 5
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    Online Resource
    Concordance between a clinical decision-support system and treatments selected by clinicians as a function of cancer type or stage.
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Global Oncology Vol. 5, No. suppl ( 2019-10-07), p. 95-95
    Details
    In: Journal of Global Oncology, American Society of Clinical Oncology (ASCO), Vol. 5, No. suppl ( 2019-10-07), p. 95-95
    Abstract: 95 Background: Watson for Oncology (WFO) is an artificial intelligence (AI) based clinical decision-support tool trained by Memorial Sloan Kettering. This retrospective observational study of breast, lung, colon and rectal cancer examined the concordance of treatment options provided by WFO to treatments selected by clinicians at Bumrungrad International Hospital (BIH) as a function of stage or cancer type. Methods: Concordance between WFO treatment options and treatments selected by BIH clinicians (WFO-BIH concordance) was defined as identical or equally acceptable treatments, as determined by a panel of experts blinded to the source of treatment. Relationships between stage or type of cancer and WFO-BIH concordant treatments were evaluated by Chi-squared analysis. Results: Analysis revealed a statistically significant association ( P = 0.02) between cancer stage and concordance. For all 4 cancer types combined, stages I-III demonstrated higher concordance than stage IV. A highly significant association ( P 〈 0.001) between concordance and cancer type was identified. Colon cancer demonstrated the highest concordance, followed by rectal, lung and breast cancer. Reasons for discordance, when given, related to oncologist or patient preferences, and treatment availability. Conclusions: BIH clinicians tended to agree more with WFO therapeutic options for stage I-III cancers and colon cancer in general, as compared to relatively less agreement for stage IV cancers and breast cancer in general, suggesting the need to understand reasons for discordance among all cancer types and stages. An AI tool, trained by experts in the U.S., provides treatment options consistent with some therapies selected in international settings, but preferences and treatment availability may affect choices made in practice. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 2378-9506
    URL: Article
    DOI: 10.1200/JGO.2019.5.suppl.95
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 3018917-2
    detail.hit.zdb_id: 2840981-4
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  • 6
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    Abstract PS8-22: Augmentation of a minimal multidisciplinary tumor board with clinical decision support to triage breast cancer patients in the UK
    American Association for Cancer Research (AACR) ; 2021
    In:  Cancer Research Vol. 81, No. 4_Supplement ( 2021-02-15), p. PS8-22-PS8-22
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 4_Supplement ( 2021-02-15), p. PS8-22-PS8-22
    Abstract: BackgroundAll UK cancer patients undergo required assessments by a full Multidisciplinary Tumor Board (fMTB) at key treatment decision points, placing a resource burden on the healthcare system. Watson for Oncology (WfO) is a decision-support system that presents therapeutic options to cancer-treating clinicians. This study is an initial phase of an evaluation at Guys and St. Thomas’ NHS Hospital (GSTT), designed to explore the extent to which WfO can be used by the fMTB to triage less complex patient cases and ultimately reduce workload and time pressures currently experienced by fMTBs. We conducted a concordance study with two minimal MTB teams (mMTB) for Stage I-III breast cancer patients. MethodsBreast cancer cases (N=63) treated from 2017-2018 at GSTT were evaluated by 2 independent mMTBs, blinded to each other and previous fMTB decisions rendered prior to this study. Each mMTB consisted of a senior medical oncologist and surgeon; GSTT’s 12+ member fMTB is comprised of oncologists, surgeons, radiologists, pathologists and others. mMTBs were shown options that were either listed as ‘recommended’ or ‘for consideration’ by WfO and given the opportunity to revise prior decisions. The combined 4-person minimal MTB (cmMTB) consisting of both 2-person mMTBs provided a current consensus best-practice plan and systemic therapy recommendations for discordant cases. We evaluated the concordance of WfO’s systemic therapeutic recommendations and mMTBs, as well as concordance with the cmMTB. Previous decisions by the fMDTB were also compared to decisions by the cmMTB. Univariate logistic regression explored characteristics predictive of concordance with the cmMTB. ResultsFor treatment plans, WFO’s therapeutic options had higher concordance with cmMTB decisions than either mMTB alone (concordance 93.7% vs. 92.1%) or the previous decisions by the fMTB (87.3). For systemic therapy decisions, the WfO-cmMDTB concordance was 70.2%; however, adjusting for non-NICE approved drugs and the common practice of Carboplatin use in the UK, concordance increased to 91.5%. Previous decisions by the fMTB had the lowest concordance with the cmMTB (87.3%). Adjusting for the UK-practice related use of Carboplatin, WfO had slightly higher concordance with cmMTB systemic therapy decisions than either mMTB alone (89.4% and 87.2%). Univariate analysis with this limited sample revealed non-significant trends in association between mMTB’s concordance with WfO and stage of cN at diagnosis, HER2 status, tumor location and grade. For example, mMTBs concordance with WfO tended to improve when tumor grade was high. Non-significant trends were also identified in the association between WfO-treatment concordance and tumor location, where treatment concordance increased with medial tumor location. ConclusionIn this small cohort study, a clinical decision-support tool demonstrated better agreement with UK best practice treatment than a 2-person mMTB and may have a role in triaging breast cancer cases in the UK. Citation Format: Hartmut Kristeleit, Martha Martin, Christina Karampera, Rezzan Hekmat, Bertha IntHout, Ashutosh Kothari, Majid Kazmi, Amanda Clery, Yanzhong Wang, Bolaji Coker, Winnie Felix, Anita Preininger, Suwei Wang, Roy Vergis, Tom Eggebraaten, Christopher Gloe, Irene Dankwa-Mullan, Gretchen Jackson, Anna Rigg, Danny Ruta. Augmentation of a minimal multidisciplinary tumor board with clinical decision support to triage breast cancer patients in the UK [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS8-22.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.SABCS20-PS8-22
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 7
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    Factors associated with time to targeted therapy for patients with metastatic lung cancer with driver mutations.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 29_suppl ( 2020-10-10), p. 120-120
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 29_suppl ( 2020-10-10), p. 120-120
    Abstract: 120 Background: Targeted therapies are superior to chemotherapy in metastatic lung cancer with driver gene mutations. Delays in initiation of targeted therapies may result in faster symptom progression, decline in quality of life, and shortened survival. We examined factors associated with time to initiation of targeted therapy (TTT) in patients with metastatic lung cancer with selected driver mutations. Methods: In this retrospective cohort study, IBM MarketScan claims data was used to identify patients who had an initial diagnosis of metastatic lung cancer, defined as continuous insurance enrollment 12 months pre- to 6 months post-diagnosis, with tumor biomarker (i.e., EGFR, ALK, ROS1, BRAF V600E, NTRK)-directed targeted therapy performed within 6 months of the initial diagnosis, during the timeframe of 1/1/2013 to 12/31/2018. Trends in TTT were evaluated with Wilcoxon–Mann–Whitney. Quantile regression, a robust model that analyzed factors on different outcome-related quantiles, was used to identify associations among TTT and covariates including age, sex, comorbidity, insurance type, and US region. Results: Among 8977 patients identified with an initial diagnosis of metastatic lung cancer, 710 (7.9%) received targeted therapies within the 6-month timeframe, and 1040 (12%) had tumor biomarker testing performed. The overall median TTT was 21 days (IQR = 36 days). Median TTT decreased from 25 days in 2013 to 18 days in 2018 (p = 0.03). Factors associated with longer TTT (median, 50% quantile) were increasing age (p = 0.04), cardiovascular disease (“CVD”, p = 0.03), HIV (p = 0.04), and mild liver disease (p = 0.05). For the lower quantile ( 〈 = 1 day, 5% quantile), female sex (p = 0.01), HIV (p = 0.04), and mild liver disease (p = 0.002) were associated with longer TTT. Having a PPO health plan extended TTT (p = 0.05) at the upper quantile (79 days, 90% quantile). Conclusions: Our study showed an encouraging 5-year trend of the median TTT decreasing by 28%. Numerous factors associated with longer TTT included increasing age, CVD, HIV, mild liver disease, female sex, and PPO plan. This study provides insights into patient-related factors associated with longer time to initiation of targeted therapies for patients with metastatic lung cancer with driver mutations. Additional research is needed to identify the reasons for longer TTT and to develop strategies to expedite delivery of optimal therapies.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.29_suppl.120
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 8
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    Biomarker testing patterns and trends among patients with metastatic lung cancer.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e13667-e13667
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e13667-e13667
    Abstract: e13667 Background: Guidelines for biomarker testing of metastatic lung cancer patients aid oncologists in making targeted treatment decisions. Despite evidence demonstrating the benefits of genomic and immune biomarker identification in these patients, variations in testing exist. This population-based, retrospective, observational study examined trends in testing rates and timing, assessing associations between testing and patient characteristics, sociodemographic factors, and regional patterns using insurance claims data. Methods: We evaluated patterns of biomarker testing in the IBM MarketScan database between 1/1/2013-12/31/2018. Inclusion criteria consisted of lung cancer patients with an initial diagnosis of metastasis within the study period, continuous insurance coverage from 12 months before to 4 months post-diagnosis, and biomarker testing (EGFR, ALK, ROS1, BRAF V600E, NTRK, PD-L1) within 4 months of diagnosis. Temporal trends were evaluated by the Cochran-Armitage method. Multivariate logistic regression evaluated associations between testing rates and patient-specific factors (i.e., age, gender, comorbid conditions), insurance type, and region (i.e., Northeastern, North central, Southern, and Western) in the United States (US). Results: Of the 8977 patients with metastatic lung cancer, 1040 (12%) had claims for biomarker testing. During the study period, testing rates increased significantly, from 8.4% in 2013 to 20.6% in 2018 (P 〈 .0001); the likelihood of testing increased by year (2014, OR 1.20, 95% CI 0.97 - 1.48 vs. 2018, OR 2.83, 95% CI 2.26 - 3.54). Of patients tested, 25.8% (N = 268) were tested on the day of diagnosis, 70.7 % (N = 735) within 30 days, and 85.6% (N = 890) within 60 days. A lower likelihood of testing was associated with increasing age (OR = 0.97, 95% CI 0.96 - 0.98), enrollment in preferred provider health plans (OR 0.69, 95% CI 0.53 – 0.93), or pre-existing comorbidities of congestive heart failure (OR 0.76, 95% CI 0.59 – 0.98) or diabetes (OR 0.82, 95% CI 0.68 – 0.99). Testing was more likely to occur in females (OR 1.24, 95% CI 1.09 – 1.42), age 〈 55 years (OR 1.67, 95% CI 1.32 – 2.12) or residence in Northeastern US (OR 1.26, 95% CI 1.05 -1.51). Conclusions: Biomarker testing rates for an insured cohort of metastatic lung cancer patients increased significantly over time, but the likelihood of testing varied based on age, sex, insurance type, comorbidities, and region. Results of this study may inform policy or outreach strategies by highlighting population-based factors influencing biomarker testing rates.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.e13667
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 9
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    Systematic review of gastrointestinal cancer studies of concordance with expert opinion for a clinical decision support system (CDSS).
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 4_suppl ( 2020-02-01), p. 250-250
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 4_suppl ( 2020-02-01), p. 250-250
    Abstract: 250 Background: Watson for Oncology (WfO), a cognitive CDSS, provides therapeutic options to cancer-treating physicians. We reviewed the concordance of WfO therapeutic options in gastrointestinal cancers with experts’ treatment decisions. Methods: Systematic review to identify WfO concordance studies in gastrointestinal cancers, published from June 2015 to June 2019. Concordance was defined as agreement between WfO “Recommended” and “For Consideration” treatment options and decisions made by experts. Mean concordance rates were calculated as an average, weighted by the number of patients in each study. Results: 2,407 patients were identified (Table). Overall treatment decision concordance was 67.2% (SD 25.7%). Concordance for rectal, colon, hepatocellular, and gastric cancers were 90.5% (SD 9.4%), 80.9% (SD 24.3%), 58.5%, and 47.5% (SD 33.9%), respectively. Concordance with WfO were significantly higher for rectal versus colon cancer ( p = .001), rectal versus gastric cancer ( p 〈 .0001) and for colon versus gastric cancer ( p 〈 .0001). Conclusions: Concordance between WfO and treatment decisions by experts for rectal and colon cancers were high. Concordance for HCC and gastric cancer were the lowest. A higher discordance in gastric cancer is likely related to disease-specific and management differences compared to United States practice. Variable concordance between expert clinical decisions and CDSS suggestions and can be minimized by localization efforts. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.4_suppl.250
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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  • 10
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    A retrospective evaluation of treatment decision making for thyroid cancer using clinical decision support in Brazil.
    American Society of Clinical Oncology (ASCO) ; 2020
    In:  Journal of Clinical Oncology Vol. 38, No. 15_suppl ( 2020-05-20), p. e19193-e19193
    Details
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. e19193-e19193
    Abstract: e19193 Background: Artificial intelligence-driven clinical decision-support systems such as Watson for Oncology (WfO) may aid cancer care in economically challenged health systems. Evidence of the applicability of such tools in resource-constrained settings is limited. The study objective was to evaluate treatment agreement between physician-prescribed therapy and WfO recommended treatment options in thyroid cancer in Brazil. An in-depth evaluation of discordant cases by a blinded expert panel of medical oncologists and cancer surgeons was performed to identify preferred therapies and predictors of discordance. Methods: Thyroid cancer patients treated at the Instituto do Câncer do Ceará, Brazil from July 2018 to June 2019, but not processed in WfO, were selected for entry into WfO in January 2020. Blinded to treatment-plan source (i.e., WfO or historical), the expert panel reviewed all WfO therapeutic options and historical physician-prescribed treatment plans for discordant cases and selected their preferred treatment options. Clinical and demographic characteristics were analyzed using logistic regression. Results: Thyroid cancer patients (n = 83) evaluated for concordance between WfO therapeutic options and historical treatments were mostly female (91%) and between the ages of 18 - 78 years (mean 47.7). Concordance between historical physician-prescribed treatment decisions and WfO was 73.5% (61/83). Demographics and clinical characteristics associated with discordance are shown in Table. For all discordant cases (n = 22), preferred treatment decisions, as determined by the expert panel, were in agreement with WfO. Conclusions: High concordance between WfO recommended treatment options and historical treatment decisions for thyroid cancer was observed at Instituto do Câncer do Ceará. For discordant cases, a blinded expert panel agreed with WfO recommended treatment options in all cases, demonstrating there may be a role for decision support in aiding individual oncologists to make best-practice and evidence-informed treatment decisions. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    URL: Article
    DOI: 10.1200/JCO.2020.38.15_suppl.e19193
    RVK:
    XA 52760
    RVK:
    XA 10000
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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