| 1. |
- Bruinsma, Sophie M, et al.
(författare)
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The Movember Foundation's GAP3 cohort : a profile of the largest global prostate cancer active surveillance database to date
- 2018
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Ingår i: BJU International. - : Wiley. - 1464-4096. ; 121:5, s. 737-744
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: The Movember Foundation launched the Global Action Plan Prostate Cancer Active Surveillance (GAP3) initiative to create a global consensus on the selection and monitoring of men with low-risk prostate cancer (PCa) on active surveillance (AS). The aim of this study is to present data on inclusion and follow-up for AS in this unique global AS database.PATIENTS AND METHODS: Between 2014 and 2016, the database was created by combining patient data from 25 established AS cohorts worldwide (USA, Canada, Australasia, UK and Europe). Data on a total of 15 101 patients were included. Descriptive statistics were used to report patients' clinical and demographic characteristics at the time of PCa diagnosis, clinical follow-up, discontinuation of AS and subsequent treatment. Cumulative incidence curves were used to report discontinuation rates over time.RESULTS: At diagnosis, the median (interquartile range [IQR]) patient age was 65 (60-70) years and the median prostate-specific antigen level was 5.4 (4.0-7.3) ng/mL. Most patients had clinical stage T1 disease (71.8%), a biopsy Gleason score of 6 (88.8%) and one tumour-positive biopsy core (60.3%). Patients on AS had a median follow-up time of 2.2 (1.0-5.0) years. After 5, 10 and 15 years of follow-up, respectively, 58%, 39% and 23% of patients were still on AS. The current version of GAP3 has limited data on magnetic resonance imaging (MRI), quality of life and genomic testing.CONCLUSIONS: GAP3 is the largest worldwide collaboration integrating patient data from men with PCa on AS. The results will allow individual patients and clinicians to have greater confidence in the personalized decision to either delay or proceed with active treatment. Longer follow-up and the evaluation of MRI, new genomic markers and patient-related outcomes will result in even more valuable data and eventually in better patient outcomes.
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| 2. |
- Dijkland, Simone A., et al.
(författare)
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Outcome Prediction after Moderate and Severe Traumatic Brain Injury : External Validation of Two Established Prognostic Models in 1742 European Patients
- 2021
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 38:10, s. 1377-1388
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Tidskriftsartikel (refereegranskat)abstract
- The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticoid Randomisation After Significant Head injury (CRASH) prognostic models predict functional outcome after moderate and severe traumatic brain injury (TBI). We aimed to assess their performance in a contemporary cohort of patients across Europe. The Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) core study is a prospective, observational cohort study in patients presenting with TBI and an indication for brain computed tomography. The CENTER-TBI core cohort consists of 4509 TBI patients available for analyses from 59 centers in 18 countries across Europe and Israel. The IMPACT validation cohort included 1173 patients with GCS ≤12, age ≥14, and 6-month Glasgow Outcome Scale-Extended (GOSE) available. The CRASH validation cohort contained 1742 patients with GCS ≤14, age ≥16, and 14-day mortality or 6-month GOSE available. Performance of the three IMPACT and two CRASH model variants was assessed with discrimination (area under the receiver operating characteristic curve; AUC) and calibration (comparison of observed vs. predicted outcome rates). For IMPACT, model discrimination was good, with AUCs ranging between 0.77 and 0.85 in 1173 patients and between 0.80 and 0.88 in the broader CRASH selection (n = 1742). For CRASH, AUCs ranged between 0.82 and 0.88 in 1742 patients and between 0.66 and 0.80 in the stricter IMPACT selection (n = 1173). Calibration of the IMPACT and CRASH models was generally moderate, with calibration-in-the-large and calibration slopes ranging between -2.02 and 0.61 and between 0.48 and 1.39, respectively. The IMPACT and CRASH models adequately identify patients at high risk for mortality or unfavorable outcome, which supports their use in research settings and for benchmarking in the context of quality-of-care assessment.
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| 3. |
- Dyrskjot, Lars, et al.
(författare)
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Prognostic Impact of a 12-gene Progression Score in Non-muscle-invasive Bladder Cancer : A Prospective Multicentre Validation Study
- 2017
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Ingår i: European Urology. - : Elsevier BV. - 0302-2838 .- 1873-7560. ; 72:3, s. 461-469
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Tidskriftsartikel (refereegranskat)abstract
- Background: Progression of non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC) is life-threatening and cannot be accurately predicted using clinical and pathological risk factors. Biomarkers for stratifying patients to treatment and surveillance are greatly needed. Objective: To validate a previously developed 12-gene progression score to predict progression to MIBC in a large, multicentre, prospective study. Design, setting, and participants: We enrolled 1224 patients in ten European centres between 2008 and 2012. A total of 750 patients (851 tumours) fulfilled the inclusion and sample quality criteria for testing. Patients were followed for an average of 28 mo (range 0-76). A 12-gene real-time qualitative polymerase chain reaction assay was performed for all tumours and progression scores were calculated using a predefined formula and cut-off values. Outcome measurements and statistical analysis: We measured progression to MIBC using Cox regression analysis and log-rank tests for comparing survival distributions. Results and limitations: The progression score was significantly (p < 0.001) associated with age, stage, grade, carcinoma in situ, bacillus Calmette-Guerin treatment, European Organisation for Research and Treatment of Cancer risk score, and disease progression. Univariate Cox regression analysis showed that patients molecularly classified as high risk experienced more frequent disease progression (hazard ratio 5.08, 95% confidence interval 2.2-11.6; p < 0.001). Multivariable Cox regression models showed that the progression score added independent prognostic information beyond clinical and histopathological risk factors (p < 0.001), with an increase in concordance statistic from 0.82 to 0.86. The progression score showed high correlation (R-2 = 0.85) between paired fresh-frozen and formalin-fixed paraffin-embedded tumour specimens, supporting translation potential in the standard clinical setting. A limitation was the relatively low progression rate (5%, 37/ 750 patients). Conclusions: The 12-gene progression score had independent prognostic power beyond clinical and histopathological risk factors, and may help in stratifying NMIBC patients to optimise treatment and follow-up regimens. Patient summary: Clinical use of a 12-gene molecular test for disease aggressiveness may help in stratifying patients with non-muscle-invasive bladder cancer to optimal treatment regimens.
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| 4. |
- Gravesteijn, Benjamin Y., et al.
(författare)
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Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury
- 2020
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Ingår i: Journal of Clinical Epidemiology. - : Elsevier. - 0895-4356 .- 1878-5921. ; 122, s. 95-107
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury.STUDY DESIGN AND SETTING: We performed logistic (LR), lasso, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n=11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks, and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with GCS<13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (AUC) was quantified.RESULTS: In the IMPACT-II database, 3,332/11,022(30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale below 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies, and less so between the studied algorithms. The mean AUC was 0.82 for mortality and 0.77 for unfavorable outcome in CENTER-TBI.CONCLUSION: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe TBI. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations.
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| 5. |
- Gravesteijn, Benjamin Yaël, et al.
(författare)
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Missing Data in Prediction Research : A Five-Step Approach for Multiple Imputation, Illustrated in the CENTER-TBI Study
- 2021
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 38:13, s. 1842-1857
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Tidskriftsartikel (refereegranskat)abstract
- In medical research, missing data is common. In acute diseases, such as traumatic brain injury (TBI), even well-conducted prospective studies may suffer from missing data in baseline characteristics and outcomes. Statistical models may simply drop patients with any missing values, potentially leaving a selected subset of the original cohort. Imputation is widely accepted by methodologists as an appropriate way to deal with missing data. We aim to provide practical guidance on handling missing data for prediction modeling. We hereto propose a five-step approach, centered around single and multiple imputation: 1) explore the missing data patterns; 2) choose a method of imputation; 3) perform imputation; 4) assess diagnostics of the imputation; and 5) analyze the imputed data sets. We illustrate these five steps with the estimation and validation of the IMPACT (International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury) prognostic model in 1375 patients from the CENTER-TBI database, included in 53 centers across 17 countries, with moderate or severe TBI in the prospective European CENTER-TBI study. Future prediction modeling studies in acute diseases may benefit from following the suggested five steps for optimal statistical analysis and interpretation, after maximal effort has been made to minimize missing data.
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| 6. |
- Gravesteijn, Benjamin Yael, et al.
(författare)
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Tracheal intubation in traumatic brain injury : a multicentreprospective observational study
- 2020
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Ingår i: British Journal of Anaesthesia. - : Elsevier. - 0007-0912 .- 1471-6771. ; 125:4, s. 505-517
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Tidskriftsartikel (refereegranskat)abstract
- Background: We aimed to study the associations between pre- and in-hospital tracheal intubation and outcomes intraumatic brain injury (TBI), and whether the association varied according to injury severity.Methods: Data from the international prospective pan-European cohort study, Collaborative European NeuroTraumaEffectiveness Research for TBI (CENTER-TBI), were used (n¼4509). For prehospital intubation, we excluded selfpresenters. For in-hospital intubation, patients whose tracheas were intubated on-scene were excluded. The associationbetween intubation and outcome was analysed with ordinal regression with adjustment for the International Mission forPrognosis and Analysis of Clinical Trials in TBI variables and extracranial injury. We assessed whether the effect ofintubation varied by injury severity by testing the added value of an interaction term with likelihood ratio tests.Results: In the prehospital analysis, 890/3736 (24%) patients had their tracheas intubated at scene. In the in-hospitalanalysis, 460/2930 (16%) patients had their tracheas intubated in the emergency department. There was no adjustedoverall effect on functional outcome of prehospital intubation (odds ratio¼1.01; 95% confidence interval, 0.79e1.28;P¼0.96), and the adjusted overall effect of in-hospital intubation was not significant (odds ratio¼0.86; 95% confidenceinterval, 0.65e1.13; P¼0.28). However, prehospital intubation was associated with better functional outcome in patientswith higher thorax and abdominal Abbreviated Injury Scale scores (P¼0.009 and P¼0.02, respectively), whereas inhospital intubation was associated with better outcome in patients with lower Glasgow Coma Scale scores (P¼0.01): inhospital intubation was associated with better functional outcome in patients with Glasgow Coma Scale scores of 10 orlower.Conclusion: The benefits and harms of tracheal intubation should be carefully evaluated in patients with TBI to optimisebenefit. This study suggests that extracranial injury should influence the decision in the prehospital setting, and level ofconsciousness in the in-hospital setting.Clinical trial registration: NCT02210221.
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| 7. |
- Huijben, Jilske A, et al.
(författare)
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Quality indicators for patients with traumatic brain injury in European intensive care units : a CENTER-TBI study.
- 2020
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Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535 .- 1466-609X. ; 24:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: The aim of this study is to validate a previously published consensus-based quality indicator set for the management of patients with traumatic brain injury (TBI) at intensive care units (ICUs) in Europe and to study its potential for quality measurement and improvement.METHODS: Our analysis was based on 2006 adult patients admitted to 54 ICUs between 2014 and 2018, enrolled in the CENTER-TBI study. Indicator scores were calculated as percentage adherence for structure and process indicators and as event rates or median scores for outcome indicators. Feasibility was quantified by the completeness of the variables. Discriminability was determined by the between-centre variation, estimated with a random effect regression model adjusted for case-mix severity and quantified by the median odds ratio (MOR). Statistical uncertainty of outcome indicators was determined by the median number of events per centre, using a cut-off of 10.RESULTS: A total of 26/42 indicators could be calculated from the CENTER-TBI database. Most quality indicators proved feasible to obtain with more than 70% completeness. Sub-optimal adherence was found for most quality indicators, ranging from 26 to 93% and 20 to 99% for structure and process indicators. Significant (p < 0.001) between-centre variation was found in seven process and five outcome indicators with MORs ranging from 1.51 to 4.14. Statistical uncertainty of outcome indicators was generally high; five out of seven had less than 10 events per centre.CONCLUSIONS: Overall, nine structures, five processes, but none of the outcome indicators showed potential for quality improvement purposes for TBI patients in the ICU. Future research should focus on implementation efforts and continuous reevaluation of quality indicators.TRIAL REGISTRATION: The core study was registered with ClinicalTrials.gov, number NCT02210221, registered on August 06, 2014, with Resource Identification Portal (RRID: SCR_015582).
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| 8. |
- MacLennan, Steven, et al.
(författare)
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Mapping European Association of Urology Guideline Practice Across Europe : An Audit of Androgen Deprivation Therapy Use Before Prostate Cancer Surgery in 6598 Cases in 187 Hospitals Across 31 European Countries
- 2023
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Ingår i: European Urology. - : Elsevier BV. - 0302-2838. ; 83:5, s. 393-401
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Evidence-practice gaps exist in urology. We previously surveyed European Association of Urology (EAU) guidelines for strong recommendations underpinned by high-certainty evidence that impact patient experience for which practice variations were suspected. The recommendation "Do not offer neoadjuvant androgen deprivation therapy (ADT) before surgery for patients with prostate cancer" was prioritised for further investigation. ADT before surgery is neither clinically effective nor cost effective and has serious side effects. The first step in improving implementation problems is to understand their extent. A clear picture of practice regarding ADT before surgery across Europe is not available.OBJECTIVE: To assess current ADT use before prostate cancer surgery in Europe.DESIGN, SETTING, AND PARTICIPANTS: This was an observational cross-sectional study. We retrospectively audited recent ADT practices in a multicentre international setting. We used nonprobability purposive sampling, aiming for breadth in terms of low- versus high-volume, academic, versus community and public versus private centres.OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Our primary outcome was adherence to the ADT recommendation. Descriptive statistics and a multilevel model were used to investigate differences between countries across different factors (volume, centre type, and funding type). Subgroup analyses were performed for patients with low, intermediate, and high risk, and for those with locally advanced prostate cancer. We also collected reasons for nonadherence.RESULTS AND LIMITATIONS: We included 6598 patients with prostate cancer from 187 hospitals in 31 countries from January 1, 2017 to May 1, 2020. Overall, nonadherence was 2%, (range 0-32%). Most of the variability was found in the high-risk subgroup, for which nonadherence was 4% (range 0-43%). Reasons for nonadherence included attempts to improve oncological outcomes or preoperative tumour parameters; attempts to control the cancer because of long waiting lists; and patient preference (changing one's mind from radiotherapy to surgery after neoadjuvant ADT had commenced or feeling that the side effects were intolerable). Although we purposively sampled for variety within countries (public/private, academic/community, high/low-volume), a selection bias toward centres with awareness of guidelines is possible, so adherence rates may be overestimated.CONCLUSIONS: EAU guidelines recommend against ADT use before prostate cancer surgery, yet some guideline-discordant ADT use remains at the cost of patient experience and an additional payer and provider burden. Strategies towards discontinuation of inappropriate preoperative ADT use should be pursued.PATIENT SUMMARY: Androgen deprivation therapy (ADT) is sometimes used in men with prostate cancer who will not benefit from it. ADT causes side effects such as weight gain and emotional changes and increases the risk of cardiovascular disease, diabetes, and osteoporosis. Guidelines strongly recommend that men opting for surgery should not receive ADT, but it is unclear how well the guidance is followed. We asked urologists across Europe how patients in their institutions were treated over the past few years. Most do not use ADT before surgery, but this still happens in some places. More research is needed to help doctors to stop using ADT in patients who will not benefit from it.
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| 9. |
- Rajwa, Pawel, et al.
(författare)
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Research protocol for an observational health data analysis on the adverse events of systemic treatment in patients with metastatic hormone-sensitive prostate cancer : big data analytics using the PIONEER platform
- 2024
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Ingår i: European Urology Open Science. - : Elsevier. - 2666-1691 .- 2666-1683. ; 63, s. 81-88
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Tidskriftsartikel (refereegranskat)abstract
- Combination therapies in metastatic hormone-sensitive prostate cancer (mHSPC), which include the addition of an androgen receptor signaling inhibitor and/or docetaxel to androgen deprivation therapy, have been a game changer in the management of this disease stage. However, these therapies come with their fair share of toxicities and side effects. The goal of this observational study is to report drug-related adverse events (AEs), which are correlated with systemic combination therapies for mHSPC. Determining the optimal treatment option requires large cohorts to estimate the tolerability and AEs of these combination therapies in “real-life” patients with mHSPC, as provided in this study. We use a network of databases that includes population-based registries, electronic health records, and insurance claims, containing the overall target population and subgroups of patients defined by unique certain characteristics, demographics, and comorbidities, to compute the incidence of common AEs associated with systemic therapies in the setting of mHSPC. These data sources are standardised using the Observational Medical Outcomes Partnership Common Data Model. We perform the descriptive statistics as well as calculate the AE incidence rate separately for each treatment group, stratified by age groups and index year. The time until the first event is estimated using the Kaplan-Meier method within each age group. In the case of episodic events, the anticipated mean cumulative counts of events are calculated. Our study will allow clinicians to tailor optimal therapies for mHSPC patients, and they will serve as a basis for comparative method studies.
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| 10. |
- Robroek, Suzan J.W., et al.
(författare)
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Educational differences in duration of working life and loss of paid employment : working life expectancy in The Netherlands
- 2020
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Ingår i: Scandinavian Journal of Work, Environment and Health. - : Nordic Association of Occupational Safety and Health (NOROSH). - 0355-3140 .- 1795-990X. ; 46:1, s. 77-84
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: This study aims to provide insight into educational differences in duration of working life by working life expectancy (WLE) and working years lost (WYL) through disability benefits and other non-employment states in the Netherlands.Methods: Monthly information on employment status of the Dutch population (N=4 999 947) between 16 and 66 years from 2001‒2015 was used to estimate working life courses and loss of working years for specific non-employment states. Across educational groups, bi-directional transitions between paid employment and non-employment states were calculated. Using a multistate model, the WLE and WYL at age 16, 30, 50 and up to 66 years as statutory retirement age were estimated for each educational group, stratified by gender.Results: Low-educated men and women had a 7.3 (men) and 9.9 (women) years lower WLE at age 30 than high-educated men and women. Among low-educated men, 3.4 working years were lost due to disability benefit compared to 0.8 among high-educated men. Low-educated women lost 3.0 working years due to disability benefit compared to 1.4 among high-educated women.Conclusions: There are large educational inequalities over the course of working life. Among low-educated workers, more working years are lost due to unemployment, no income, and especially disability benefits. The latter reflects large educational inequalities in health and working conditions. The metrics of WLE and WYL provide useful insights into the life-course perspective on working careers.
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| 11. |
- Spronk, Inge, et al.
(författare)
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Recovery of health-related quality of life after burn injuries: An individual participant data meta-analysis
- 2020
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Ingår i: PLOS ONE. - : PUBLIC LIBRARY SCIENCE. - 1932-6203. ; 15:1
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Tidskriftsartikel (refereegranskat)abstract
- Background A prominent outcome measure within burn care is health related quality of life (HRQL). Until now, no model for long-term recovery of HRQL exists for adult burn patients which requires large samples with repeated measurements. Re-use and the combination of existing data is a way to achieve larger data samples that enable the estimation of long-term recovery models. The aim of this secondary data analysis was to assess the recovery of HRQL after a burn injury over time. Methods and findings Data from ten European studies on generic HRQL assessed in adult burn patients (either with the EQ-5D or SF-36) from five different countries were merged into one dataset. SF-36 outcomes were transformed into EQ-5D outcomes. A 24-month recovery of HRQL (EQ-5D utility) was modeled using a linear mixed-effects model and adjusted for important patient and burn characteristics. Subgroups of patients with mild and intermediate burns (<= 20% total body surface area (TBSA) burned) and with major burns (>20% TBSA burned) were compared. The combined database included 1687 patients with a mean age of 43 (SD 15) years and a median %TBSA burned of 9% (IQR 4-18). There was large improvement in HRQL up to six months after burns, and HRQL remained relatively stable afterwards (studied up to 24 months post burn). However, the estimated EQ-5D utility scores remained below the norm scores of the general population. In this large sample, females, patients with a long hospital stay and patients with major burns had a delayed and worse recovery. The proportion of patients that reported problems for the EQ-5D dimensions ranged from 100% (pain/discomfort at baseline in patients with major burns) to 10% (self-care >= 3 months after injury in patients with mild and intermediate burns). After 24 months, both subgroups of burn patients did not reach the level of the general population in the dimensions pain/discomfort and anxiety/depression, and patients with major burns in the dimension usual activities. A main limitation of the study includes that the variables in the model were limited to age, gender, %TBSA, LOS and time since burn as these were the only variables available in all datasets. Conclusions The 24-month recovery model can be used in clinical practice to inform patients on expected HRQL outcomes and provide clinicians insights into the expected recovery of HRQL. In this way, a delayed recovery can be recognized in an early stage and timely interventions can be started in order to improve patient outcomes. However, external validation of the developed model is needed before implementation into clinical practice. Furthermore, our study showed the benefit of secondary data usage within the field of burns.
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| 12. |
- Van Hemelrijck, Mieke, et al.
(författare)
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Reasons for Discontinuing Active Surveillance : Assessment of 21 Centres in 12 Countries in the Movember GAP3 Consortium
- 2019
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Ingår i: European Urology. - : Elsevier BV. - 0302-2838. ; 75:3, s. 523-531
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Tidskriftsartikel (refereegranskat)abstract
- Background: Careful assessment of the reasons for discontinuation of active surveillance (AS) is required for men with prostate cancer (PCa). Objective: Using Movember's Global Action Plan Prostate Cancer Active Surveillance initiative (GAP3) database, we report on reasons for AS discontinuation. Design, setting, and participants: We compared data from 10 296 men on AS from 21 centres across 12 countries. Outcome measurements and statistical analysis: Cumulative incidence methods were used to estimate the cumulative incidence rates of AS discontinuation. Results and limitations: During 5-yr follow-up, 27.5% (95% confidence interval [CI]: 26.4–28.6%) men showed signs of disease progression, 12.8% (95% CI: 12.0–13.6%) converted to active treatment without evidence of progression, 1.7% (95% CI: 1.5–2.0%) continued to watchful waiting, and 1.7% (95% CI: 1.4–2.1%) died from other causes. Of the 7049 men who remained on AS, 2339 had follow-up for >5 yr, 4561 had follow-up for <5 yr, and 149 were lost to follow-up. Cumulative incidence of progression was 27.5% (95% CI: 26.4–28.6%) at 5 yr and 38.2% (95% CI: 36.7–39.9%) at 10 yr. A limitation is that not all centres were included due to limited information on the reason for discontinuation and limited follow-up. Conclusions: Our descriptive analyses of current AS practices worldwide showed that 43.6% of men drop out of AS during 5-yr follow-up, mainly due to signs of disease progression. Improvements in selection tools for AS are thus needed to correctly allocate men with PCa to AS, which will also reduce discontinuation due to conversion to active treatment without evidence of disease progression. Patient summary: Our assessment of a worldwide database of men with prostate cancer (PCa) on active surveillance (AS) shows that 43.6% drop out of AS within 5 yr, mainly due to signs of disease progression. Better tools are needed to select and monitor men with PCa as part of AS.
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| 13. |
- Vande Vyvere, Thijs, et al.
(författare)
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Central versus Local Radiological Reading of Acute Computed Tomography Characteristics in Multi-Center Traumatic Brain Injury Research
- 2019
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert Inc. - 0897-7151 .- 1557-9042. ; 36:7, s. 1080-1092
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Tidskriftsartikel (refereegranskat)abstract
- Observer variability in local radiological reading is a major concern in large-scale multi-center traumatic brain injury (TBI) studies. A central review process has been advocated to minimize this variability. The aim of this study is to compare central with local reading of TBI imaging datasets and to investigate the added value of central review. A total of 2050 admission computed tomography (CT) scans from subjects enrolled in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study were analyzed for seven main CT characteristics. Kappa statistics were used to calculate agreement between central and local evaluations and a center-specific analysis was performed. The McNemar test was used to detect whether discordances were significant. Central interobserver and intra-observer agreement was calculated in a subset of patients. Good agreement was found between central and local assessment for the presence or absence of structural pathology (CT+, CT-, κ = 0.73) and most CT characteristics (κ = 0.62 to 0.71), except for traumatic axonal injury lesions (κ = 0.37). Despite good kappa values, discordances were significant in four of seven CT characteristics (i.e., midline shift, contusion, traumatic subarachnoid hemorrhage, and cisternal compression; p = 0.0005). Central reviewers showed substantial to excellent interobserver and intra-observer agreement (κ = 0.73 to κ = 0.96), contrasted by considerable variability in local radiological reading. Compared with local evaluation, a central review process offers a more consistent radiological reading of acute CT characteristics in TBI. It generates reliable, reproducible data and should be recommended for use in multi-center TBI studies.
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| 14. |
- Vande Vyvere, Thijs, et al.
(författare)
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Prognostic Validation of the NINDS Common Data Elements for the Radiologic Reporting of Acute Traumatic Brain Injuries : A CENTER-TBI Study.
- 2020
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 37:11, s. 1269-1282
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this study is to investigate the prognostic value of using the National Institute of Neurological Disorders and Stroke (NINDS) standardized imaging-based pathoanatomic descriptors for the evaluation and reporting of acute traumatic brain injury (TBI) lesions. For a total of 3392 patients (2244 males and 1148 females, median age = 51 years) enrolled in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we extracted 96 Common Data Elements (CDEs) from the structured reports, spanning all three levels of pathoanatomic information (i.e., 20 "basic," 60 "descriptive," and 16 "advanced" CDE variables per patient). Six-month clinical outcome scores were dichotomized into favorable (Glasgow Outcome Scale Extended [GOS-E] = 5-8) versus unfavorable (GOS-E = 1-4). Regularized logistic regression models were constructed and compared using the optimism-corrected area under the curve (AUC). An abnormality was reported for the majority of patients (64.51%). In 79.11% of those patients, there was at least one coexisting pathoanatomic lesion or associated finding. An increase in lesion severity, laterality, and volume was associated with more unfavorable outcomes. Compared with the full set of pathoanatomic descriptors (i.e., all three categories of information), reporting "basic" CDE information provides at least equal discrimination between patients with favorable versus unfavorable outcome (AUC = 0.8121 vs. 0.8155, respectively). Addition of a selected subset of "descriptive" detail to the basic CDEs could improve outcome prediction (AUC = 0.8248). Addition of "advanced" or "emerging/exploratory" information had minimal prognostic value. Our results show that the NINDS standardized-imaging based pathoanatomic descriptors can be used in large-scale studies and provide important insights into acute TBI lesion patterns. When used in clinical predictive models, they can provide excellent discrimination between patients with favorable and unfavorable 6-month outcomes. If further validated, our findings could support the development of structured and itemized templates in routine clinical radiology.
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| 15. |
- Vande Vyvere, Thijs, et al.
(författare)
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Prognostic Validation of the NINDS Standardized Pathoanatomic Terms and Definitions for the Reporting of Acute Traumatic Brain Injuries : A CENTER-TBI study
- 2020
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Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 37:11, s. 1269-1282
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE: To aim of this study is to investigate the prognostic value of using the NINDS standardized imaging-based pathoanatomic descriptors for the evaluation and reporting of acute TBI lesions.METHODS: For a total of 3,392 patients (2,244 males and 1,148 females, Median = 51 years) enrolled in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we extracted 96 CDEs from the structured reports, spanning all three levels of pathoanatomic information (i.e. 20 "basic", 60 "descriptive" and 16 "advanced" CDE variables per patient). 6-month clinical outcome scores were dichotomized into favorable (GOS-E = 5-8) versus unfavorable (GOS-E = 1-4). Regularized logistic regression models were constructed and compared using the optimism-corrected AUC.RESULTS: An abnormality was reported for the majority of patients (64.51%). In 79.11% of those patients, there was at least one coexisting pathoanatomic lesion or associated finding. An increase in lesion severity, laterality and volume was associated with more unfavorable outcomes. Compared to the full set of pathoanatomic descriptors (i.e. all three categories of information), reporting "basic" CDE information provides at least equal discrimination between patients with favorable versus unfavorable outcome (AUC = 0.8121 vs. 0.8155, respectively). Addition of a selected subset of "descriptive" detail (i.e. location and volume) to specific basic CDEs could improve outcome prediction (AUC = 0.8248). Addition of "advanced" or "emerging" information had minimal prognostic value.CONCLUSION: Our results show that the NINDS standardized-imaging based pathoanatomic descriptors can be used in large-scale studies and provide important insights into acute TBI lesion patterns. When used in clinical predictive models, they can provide excellent discrimination between patients with favorable and unfavorable 6-month outcomes. If further validated, our findings could support the development of structured and itemized templates in routine clinical radiology. Key words: Traumatic Brain Injury, Computed Tomography, Common Data Elements, Structured Reporting.
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