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  • 1
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 2970-2970
    Abstract: Abstract 2970 Evaluating real life outcomes in Multiple Myeloma (MM) pts in order to understand treatment outcome in clinical practice is very important. The introduction of novel agents (Bortezomib, Thalidomide, Lenalidomide) has been shown to increase overall survival (OS). Can MM be regarded as a chronic disease, defined as a similar OS as a matched normal population at diagnosis, after the introduction of novel agents? All pts diagnosed with MM since earliest Jan 2000 until latest Jun 2011 from 6 university clinics, 3 regional centers and 4 local hospitals in Sweden were included. Near complete response (nCR) was defined as an immeasurable M-protein in the blood and urine by standard electrophoresis. Partial response (PR) was defined as a 50% reduction in M-protein, no response (NR) as less than 50% reduction and progress was considered when the increase was ≥ 25%. The Swedish population (n = 9 340 682 in 2009) was used to select a gender and 5-yrs age strata matched cohort based on 2008–2010 observed death rates. In the total MM population n=1 843, 201 (11%) pts were excluded due to non treatment demanding disease setting the study population to n=1 642. The median follow up of pts still alive was 30 months. The median age was 70 yrs and 45% women. The most common subtype was IgG (59%) followed by IgA (22%), BJ (15%) and Other (4%). High dose treatment (HDT) was given to 517 (32%) pts. The median number of given treatment lines in both the HDT and the non-HDT population was two but the number of pts receiving more treatment lines were declining rapidly. The response distribution for the HDT population nCR/PR/NR was 47/41/12% in 1st line (induction and high-dose melphalan) and 25/42/33% in 2nd line. In the non-HDT population the response distribution was 14/42/44% in 1st line and 11/31/58% in 2nd line. Non-HDT pts receiving novel agents in 1st line had significantly higher nCR rates compared to pts receiving older drugs, 22% vs. 12% as well as pts receiving novel agents in 2nd line with nCR rates of 16% vs. 6%. In the HDT population the median time to progression/time to next treatment (TTP/TTNT) was 21.0/29.7 months in 1st line and 8.1/12.7 in 2nd line. In the non-HDT population the median TTP/TTNT was 11.0/16.8 months in 1st line and 7.3/11.4 in 2nd line. There was a significantly increased TTP/TTNT in 1st and 2nd line depending on the increased depth of the response for both the HDT and non-HDT populations. The median OS for HDT pts was 6.7 yrs 95% CI[6.1;7.6] and correlated with 1st line response (nCR 7.6, PR 6.1 and NR 6.2 yrs). When comparing HDT pts to the matched normal population the 1-year survival was 97% vs. 99%, 3-year survival 86% vs. 98% and 5-year survival 66% vs. 95%. The median OS for non-HDT pts (n=1080) was 2.7 yrs 95% CI[2.5;3.0] and increased with better response in 1st line; nCR 3.4, PR 3.0 and NR 1.9 yrs. Kaplan-Mayer analysis showed that the use of novel agents in 1st line (n=316, median age 72.1 yrs) predicted a significantly longer OS compared to conventional treatment (n=764, median age 75.4), median 4.9 vs 2.3 yrs. When comparing pts that received at least two lines of treatment, pts treated with novel agents in 1st line followed by novel agents in 2nd had not reached the median survival but had a lower CI of 6.3 yrs, novel agents in 1st line followed by old agents in 2nd line had a median OS of 4.3 yrs old agents in 1st line followed by novel agents in 2nd line had a median of OS 3.3 yrs and old agents in 1st line followed by old agents in 2nd line had a median of OS 3.0 yrs. Compared to the matched normal population non-HDT pts receiving novel agents in both 1st and 2nd line the 1-year survival was 90 % vs. 96%, 3-year survival 71% vs. 86% and 5-year survival 67% vs. 77%. The number of pts receiving 2nd and 3rd line treatment declined rapidly. Non-HDT pts treated with novel agents in 1st line had a superior response and OS compared to the group treated with standard chemotherapy. Pts treated with novel agents in 2nd line as well seem to have a further improved survival compared to other alternatives. In comparison to a normal population, matched for gender and age at diagnosis, the survival is still shorter. However, if novel agents were used in an optimal treatment sequence the survival could potentially be higher. There is still a need for further development in MM treatment before one can call it a chronic disease. Figure 1: HDT treated pts compared to a matched normal population Figure 1:. HDT treated pts compared to a matched normal population Figure 2: Non-HDT pts receiving old or novel agents in 1st line compared to a matched normal population. Figure 2:. Non-HDT pts receiving old or novel agents in 1st line compared to a matched normal population. Disclosures: Liwing: Janssen-Cilag: Employment, Equity Ownership. Mellqvist:Janssen, Celgene: Honoraria. Näsman:Janssen-Cilag: Consultancy. Aschan:Janssen-Cilag: Employment, Equity Ownership.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 2
    In: British Journal of Haematology, Wiley, Vol. 164, No. 5 ( 2014-03), p. 684-693
    Abstract: The outcome for multiple myeloma patients has improved since the introduction of bortezomib, thalidomide and lenalidomide. However, studies comparing new and conventional treatment include selected patient groups. We investigated consecutive patients ( n  = 1638) diagnosed in a defined period and compared survival with a gender‐ and age‐matched cohort Swedish population ( n  = 9 340 682). Median overall survival for non‐high‐dose treated patients was 2·8 years. The use of bortezomib, thalidomide or lenalidomide in first line therapy predicted a significantly longer overall survival (median 4·9 years) compared to conventional treatment (2·3 years). Among non‐high‐dose treated patients receiving at least 2 lines with bortezomib, thalidomide or lenalidomide, 69% and 63% have survived at 3 and 5 years as compared to 48% and 22% with conventional drugs and 88% and 79% in the matched cohort populations, respectively. The median overall survival in high‐dose treated patients was 6·9 years. Of these patients, 84% survived at 3 years and 70% at 5 years as compared to 98% and 95% in the matched cohort population. Overall survival in the best non‐high‐dose treated outcome group is closing the gap with the matched cohort. Upfront use of new drugs is clearly better than waiting until later lines of treatment.
    Type of Medium: Online Resource
    ISSN: 0007-1048 , 1365-2141
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2014
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  • 3
    In: Acta Haematologica, S. Karger AG, Vol. 130, No. 1 ( 2013), p. 7-15
    Abstract: 〈 b 〉 〈 i 〉 Background: 〈 /i 〉 〈 /b 〉 Induction therapy for multiple myeloma (MM) and remission status before high-dose treatment (HDT) have been shown to be prognostic factors for survival outcome, although the optimal induction therapy is yet to be defined. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 We conducted a retrospective analysis of the impact of induction therapy on survival outcome before and after HDT in MM patients. The study included 236 consecutive patients who underwent HDT. 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 One hundred and forty-two patients (62%) were treated with vincristine, doxorubicin and dexamethasone (VAD) or cyclophosphamide and betamethasone (CyBet) and 94 (38%) were treated with bortezomib, cyclophosphamide and betamethasone (VCB) as induction. Time to first and time to best response was faster in the VCB group than in the VAD/CyBet group, with 42 versus 75 (p 〈 0.001) and 54 versus 88 days (p 〈 0.001), respectively. After induction therapy, 49% of the patients in the VCB group and 38% in the VAD/CyBet group achieved a very good partial response or better. Multivariate analysis revealed younger age, lower International Staging System stage and induction treatment with VCB as variables associated with favourable time to progression. 〈 b 〉 〈 i 〉 Conclusions: 〈 /i 〉 〈 /b 〉 Outcome measured as response and time to progression before and after HDT in MM differs depending on type of induction treatment and suggests that VCB is a highly effective induction regimen that confers a post-HDT advantage.
    Type of Medium: Online Resource
    ISSN: 0001-5792 , 1421-9662
    Language: English
    Publisher: S. Karger AG
    Publication Date: 2013
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  • 4
    In: National Science Review, Oxford University Press (OUP), Vol. 3, No. 4 ( 2016-12-01), p. 401-403
    Type of Medium: Online Resource
    ISSN: 2095-5138 , 2053-714X
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2016
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  • 5
    In: European Journal of Epidemiology, Springer Science and Business Media LLC, Vol. 34, No. 2 ( 2019-2), p. 191-209
    Type of Medium: Online Resource
    ISSN: 0393-2990 , 1573-7284
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
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  • 6
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 3046-3046
    Abstract: Abstract 3046 Background: The introduction of the novel agents thalidomide, lenalidomide and bortezomib has created a perspective of chronic, intermittent treatment of patients with multiple myeloma (MM). The important question today is how and in which sequence these treatments should be administered in order to achieve the best outcome. This question cannot be addressed by means of a randomized clinical trial (RCT), due to the number of trial arms, patients and years needed. There is therefore a need for an evidence-based methodology to address this question. Finding a robust conclusion is also relevant to balance costs and efficacy of treatments by taking a longer perspective. Objective: The goal of this study was to establish an analytic framework aimed at comparing the outcomes of treatment sequences for MM by incorporating the results of published studies into a single coherent unifying Markov model. We focused on treatment strategies for patients not eligible for transplantation. The ultimate aim was to predict the overall survival (OS) of each treatment sequence, by expressing the additive effect on OS from single treatments at presentation or at relapse. Methods: The basic structure of the model contains three lines of treatment and one phase for “later lines of treatment”. Within each of the three treatment lines, patients could either enter, stay in or move to complete response, partial response or no response states. In order to populate the model, this meta-modeling study consisted of the following steps. Firstly, we performed a systematic literature review (SLR), extracting outcome measures that could serve as inputs for the model (cut-off date November 2009) and analyzing them by traditional meta-analysis (fixed effect modeling (FEM)). We then performed a first meta-regression identifying the response for each treatment in each treatment line. The next meta-regression established a model framework based on the following mechanism: response to treatment from meta-regression 1 is predictive for time to progression (TTP). TTP in its turn could be translated into time to next treatment (TTNT). A relationship was established between complete response (CR), partial response (PR) and no response (NR) and OS. Finally, the synthesized data were incorporated in the Markov sequencing model that estimates overall survival for the considered treatment sequences. In total the model can predict results for 245 different treatment sequences. Outcomes are expressed as mean OS, the mean response rates of the individual treatment combinations per line of treatment and corresponding TTNT estimates. Uncertainty in outcomes was addressed in sensitivity analyses. Results: The SLR provided 57 relevant clinical studies with 84 treatment arms. The meta-analysis on response showed that in first line MPV (melphalan/prednisone + bortezomib) showed the highest CR (33%), followed by MP + lenalidomide (17%), MP + thalidomide (10%) and MP (3%). Internal validation showed consistency with the results from the meta-analysis. External validation showed consistency with results presented after the SLR cut-off date, like the MM-015 trial, e.g. 16% complete response (CR) predicted compared to 18% observed CR for MP/lenalidomide and 3% CR predicted vs. 5% CR observed for the MP arm. In the second meta-analysis, a linear pattern established for the relationship between overall response and TTP. Following extrapolation from TTP to TTNT, external validation versus data from the VISTA trial showed predicted TTNT for MPV to 29.29 month compared to the observed 28.1 month and predicted 19.14 month for MP compared to the observed 19.2. Finally, the exploratory model showed that mean survival results for the sequences starting with MP, MPT, MPR and MPV ranged from 3.86–4.50, 4.72–5.09, 5.07 to 5.05–5.65 years respectively. The survival of sequences starting with one of the novel agents in combination with MP was consistently and significant better than sequences starting with MP alone as the confidence intervals did not overlap. Discussion: The numerical result of this exploratory analysis indicates that starting with one of the novel agents in combination with MP increases survival compared to starting with MP alone. We were able to develop a methodological framework in which we can evaluate the additive effect of single treatments on the overall OS as a result of the treatment sequence as well as the TTNT per treatment line. Disclosures: Heeg: Pharmerit: Consultancy. van Agthoven:Janssen-Cilag BV: Employment, Equity Ownership. Liwing:Janssen-Cilag AB: Employment, Equity Ownership. Off Label Use: All drugs are approved for the treatment of multiple myeloma. However, non-approved combinations of drugs or use of drugs in non-approved lines of therapy are included in the sequencing model. The data used for the model regarding such combinations and lines of therapy have been taken from published clinical trials. Mellqvist:Jansen-Cilag: Honoraria; Celgene: Honoraria. Logman:Pharmerit: Employment. Donatz:Janssen-Cilag GmbH: Employment. Aschan:Janssen-Cilag AB: Employment. Kropff:ORTHO BIOTECH: Honoraria; Celgene: Honoraria. Treur:Pharmerit: Consultancy. Barendse:Janssen-Cilag AB: Employment. Harousseau:Janssen-Cilag: Advisory Board, Honoraria; Cellgene: Advisory Board, Honoraria. Palumbo:CELGENE: Honoraria, Membership on an entity's Board of Directors or advisory committees; JANSSEN-CILAG: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sonneveld:Ortho-Biotech: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2010
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  • 7
    In: Frontiers in Epidemiology, Frontiers Media SA, Vol. 3 ( 2023-5-9)
    Abstract: Longitudinal studies are essential to understand the ageing process, and risk factors and consequences for disorders, but attrition may cause selection bias and impact generalizability. We describe the 1930 cohort of the Gothenburg H70 Birth Cohort Studies, followed from age 70 to 88, and compare baseline characteristics for those who continue participation with those who die, refuse, and drop out for any reason during follow-up. Methods A population-based sample born 1930 was examined with comprehensive assessments at age 70 ( N  = 524). The sample was followed up and extended to increase sample size at age 75 ( N  = 767). Subsequent follow-ups were conducted at ages 79, 85, and 88. Logistic regression was used to analyze baseline characteristics in relation to participation status at follow-up. Results Refusal to participate in subsequent examinations was related to lower educational level, higher blood pressure, and lower scores on cognitive tests. Both attrition due to death and total attrition were associated with male sex, lower educational level, smoking, ADL dependency, several diseases, poorer lung function, slower gait speed, lower scores on cognitive tests, depressive symptoms, and a larger number of medications. Attrition due to death was also associated with not having a partner. Conclusions It is important to consider different types of attrition when interpreting results from longitudinal studies, as representativeness and results may be differently affected by different types of attrition. Besides reducing barriers to participation, methods such as imputation and weighted analyses can be used to handle selection bias.
    Type of Medium: Online Resource
    ISSN: 2674-1199
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 3106325-1
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  • 8
    In: Atmosphere, MDPI AG, Vol. 14, No. 7 ( 2023-07-20), p. 1175-
    Abstract: Shipping emissions are a major source of particulate matter in the atmosphere. The volatility of gaseous and particulate phase ship emissions are poorly known despite their potentially significant effect on the evolution of the emissions and their secondary organic aerosol (SOA) formation potential. An approach combining a genetic optimisation algorithm with volatility modelling was used on volatility measurement data to study the volatility distribution of a ship engine’s emissions in real-world conditions. The fuels used were marine gas oil (MGO) and methanol. The engine was operated with 50% and 70% loads with and without active NOx after-treatment with selective catalytic reduction (SCR). The volatility distributions were extended to higher volatilities by combining the speciation information of the gas phase volatile organic compounds with particle phase volatility distributions and organic carbon measurements. These measurements also provided the emission factors of the gas and particle phase emissions. The results for the particle phase volatility matched well with the existing results placing most of the volatile organic mass in the intermediate volatile organic compounds (IVOC). The IVOCs also dominated the speciated gas phase. Partitioning of the emissions in the gas and particle phases was affected significantly by the total organic mass concentration, underlining the importance of the effect of the dilution on the phase of the emissions.
    Type of Medium: Online Resource
    ISSN: 2073-4433
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
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  • 9
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 1839-1839
    Abstract: Background: Patients with multiple myeloma (MM) who have relapsed after conventional treatment have limited therapeutic options for long-term disease control. Melflufen is a lipophilic peptide-conjugated alkylator that rapidly delivers a highly cytotoxic payload into myeloma cells through peptidase activity. In the first report of efficacy and safety for the phase 1/2 study O-12-M1 (median follow-up, 28 months), melflufen and dexamethasone demonstrated an overall response rate of 31%, a median PFS of 5.7 months, and a median OS of 20.7 months, with acceptable safety for patients with RRMM (Richardson PG, et al. Blood. 2017; Abstract 3150). Here, updated OS and PFS results from the O-12-M1 study are reported, with 18 months of additional follow-up of the patients who were still participating in long-term follow-up at the time of the final database lock in November 2017. Methods: Eligible patients had RRMM, measurable disease, and ≥2 prior lines of therapy, including bortezomib and lenalidomide. Patients must have had progressive disease (PD) on or within 60 days of completion of last therapy. Patients received melflufen 40 mg intravenously on day 1 of each 28-day cycle and oral dexamethasone 40 mg weekly for up to 8 cycles or longer at the discretion of the investigator and sponsor. Treatment continued until PD or unacceptable toxicity. Patients were followed up for 2 years after PD or start of subsequent therapy. PFS and OS were secondary end points in this study. Time to next treatment (TTNT), an exploratory end point defined as the time from start of melflufen and dexamethasone to first subsequent therapy or death, was retrospectively reviewed. Results: As of 15 May 2019, 45 patients were treated. Median age was 66 years (range, 47-78); 60% of patients had International Staging System stage II/III at study entry, and 44% had high-risk cytogenetics [del(17p), t(14;16), t(4;14), t(14;20), or gain(1q)]. The median time since initial diagnosis was 5.0 years (range, 1-21). Patients received a median of 4 prior lines of therapy (range, 2-14). All patients were exposed to IMiDs, 98% to proteasome inhibitors (PIs), 93% to alkylators (any dose of melphalan, cyclophosphamide, or bendamustine), and 80% to melphalan; 87% were refractory to last line of therapy, and 91%, 67%, and 7% were single (IMiD or PI), double (IMiD and PI), and triple (IMiD, PI, and daratumumab) refractory, respectively. After a median follow-up of 30.1 months, median PFS was 5.7 months (95% CI, 3.7-9.3; 98% events). Median OS was 20.7 months (95% CI, 13.6-not reached; 58% events; Figure). Updated PFS, OS, and TTNT data will be presented. No new adverse events (AEs) were reported. Conclusion: Melflufen and dexamethasone resulted in sustained long-term benefits (median OS, 20.7 months) and no new AEs with 1.5 years of additional follow-up of patients with late-stage, heavily pretreated RRMM who have relapsed on conventional therapy including bortezomib and lenalidomide. Further trials are ongoing to evaluate efficacy and safety of melflufen, including the phase 3 study OCEAN (OP-103; NCT03151811) of melflufen plus dexamethasone versus pomalidomide plus dexamethasone in patients with RRMM refractory to lenalidomide. Figure Disclosures Bringhen: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Voorhees:Novartis: Consultancy; Oncopeptides: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; TeneoBio: Consultancy, Research Funding; Amgen: Research Funding; GSK: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees. Plesner:AbbVie: Consultancy; Genmab: Consultancy; Takeda: Consultancy; Oncopeptides: Consultancy; Celgene: Consultancy; Janssen: Consultancy, Research Funding. Mellqvist:Amgen, Janssen, Oncopeptides, Sanofi, Sandoz, Takeda: Honoraria. Reeves:Celgene: Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria. Sonneveld:Amgen: Honoraria, Research Funding; SkylineDx: Research Funding; Takeda: Honoraria, Research Funding; Karyopharm: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; BMS: Honoraria. Byrne:Oncopeptides: Consultancy; Takeda: Consultancy. Nordström:Oncopeptides: Employment, Equity Ownership. Harmenberg:Oncopeptides: Consultancy, Equity Ownership. Obermüller:Oncopeptides: Employment. Richardson:Sanofi: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: This is a Phase 1/2 investigational study of melflufen in RRMM
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 10
    In: Journal of Geophysical Research, American Geophysical Union (AGU), Vol. 115, No. D8 ( 2010-04-23)
    Type of Medium: Online Resource
    ISSN: 0148-0227
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2010
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