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Golimumab

Golimumab is a human monoclonal antibody used to treat rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis.
It works by binding to and neutralizing the inflammatory cytokine tumor necrosis factor alpha (TNF-alpha), thereby reducing inflammation.
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Most cited protocols related to «Golimumab»

Literature searches for both DMARDs and biologics relied predominantly on PubMed searches) with medical subject headings (MeSH) and relevant keywords similar to those used for the 2008 ACR RA recommendations (see Appendices 1 and 2). We included randomized clinical trials (RCTs), controlled clinical trials (CCTs), quasi-experimental designs, cohort studies (prospective or retrospective), and case-control studies, with no restrictions on sample size. More details about inclusion criteria are listed below and in Appendix 3.
The 2008 recommendations were based on a literature search that ended on February 14, 2007. The literature search end date for the 2012 Update was February 26, 2010 for the efficacy and safety studies and September 22, 2010 for additional qualitative reviews related to TB screening, immunization and hepatitis (similar to the 2008 methodology). Studies published subsequent to that date were not included.
For biologics, we also reviewed the Cochrane systematic reviews and overviews (published and in press) in the Cochrane Database of Systematic Reviews to identify additional studies (5 (link)–8 ) and further supplemented by hand-checking the bibliographies of all included articles. Finally, the CEP and TFP confirmed that relevant literature was included for evidence synthesis. Unless they were identified by the literature search and met the article inclusion criteria (see Appendix 3), we did not review any unpublished data from product manufacturers, investigators, or the Food and Drug Administration (FDA) Adverse Event Reporting System.
We searched the literature for the eight DMARDs and nine biologics most commonly used for the treatment of RA. Literature was searched for eight DMARDS including azathioprine, cyclosporine, hydroxychloroquine, leflunomide, methotrexate, minocycline, organic gold compounds and sulfasalazine. As in 2008, azathioprine, cyclosporine and gold were not included in the recommendations based on infrequent use and lack of new data (Table 1). Literature was searched for nine biologics including abatacept, adalimumab, anakinra, certolizumab pegol, etanercept, golimumab, infliximab, rituximab and tocilizumab; anakinra was not included in the recommendations due to infrequent use and lack of new data. Details of the bibliographic search strategy are listed in Appendix 1.
Publication 2012
Abatacept Adalimumab Anabolism Anakinra Antirheumatic Drugs, Disease-Modifying Azathioprine Biological Factors Certolizumab Pegol Cyclosporine Etanercept Gold Gold Compounds golimumab Hepatitis A Hydroxychloroquine Immunization Infliximab Leflunomide Methotrexate Minocycline Organic Chemicals Rituximab Safety Sulfasalazine tocilizumab
Patients were eligible for enrolment if they were ≥18 years of age and were diagnosed with active PsA. The institutional review boards at each participating medical centre approved the protocol and all patients provided written informed consent before study entry. Patients were required to meet the Classification Criteria for Psoriatic Arthritis (CASPAR)8 (link) at screening and have a minimum of both three swollen and three tender joints, despite prior treatment with traditional DMARDs and/or biologic treatment or concurrent treatment with traditional DMARDs. Prior tumour necrosis factor blocker efficacy failures were limited to ≤10% of enrolled patients. Patients taking methotrexate, leflunomide or sulfasalazine must have been treated for at least 16 weeks and on a stable dose (oral or parenteral methotrexate ≤25 mg/week; leflunomide ≤20 mg/day; sulfasalazine ≤2 g/day; or a combination) for at least 4 weeks before the screening visit. Stable doses of oral corticosteroids (prednisone ≤10 mg/day or equivalent for at least 1 month) and non-steroidal anti-inflammatory drugs (≥2 weeks) were permitted.
Key exclusion criteria were failure of more than three agents for PsA (DMARDs or biologics) or more than one tumour necrosis factor blocker. Patients were also excluded if they had a history of or current (1) inflammatory, rheumatic or autoimmune joint disease other than PsA; (2) erythrodermic, guttate or generalised pustular psoriasis; (3) were functional class IV, defined by the American College of Rheumatology (ACR) Classification of Functional Status in Rheumatoid Arthritis; (4) had used phototherapy or DMARDs other than methotrexate, leflunomide or sulfasalazine within 4 weeks of randomisation; (5) had used adalimumab, etanercept, golimumab, infliximab, certolizumab pegol or tocilizumab within 12 weeks of randomisation or alefacept or ustekinumab within 24 weeks of randomisation; or (6) had prior treatment with apremilast. Topical therapy for psoriasis within 2 weeks of randomisation was not permitted. Patients with active tuberculosis or a history of incompletely treated tuberculosis could not participate.
Publication 2014
Adalimumab Adrenal Cortex Hormones Alefacept Anti-Inflammatory Agents, Non-Steroidal Antirheumatic Drugs, Disease-Modifying apremilast Arthritis, Psoriatic Autoimmune Diseases Biological Factors Biopharmaceuticals Certolizumab Pegol Etanercept Ethics Committees, Research Exfoliative Dermatitis golimumab Infliximab Joints Leflunomide Methotrexate Parenteral Nutrition Patients Phototherapy Prednisone Psoriasis Rheumatic Fever Rheumatoid Arthritis Sulfasalazine Therapeutics tocilizumab Tuberculosis Tumor Necrosis Factor Inhibitors Ustekinumab

Patients. Patients age ≥18 years were eligible for inclusion in the GO‐VIBRANT study if they were diagnosed as having PsA for ≥6 months and met Classification Criteria for Psoriatic Arthritis 9 at screening. Patients had to have active PsA (defined as ≥5 of 66 swollen joints and ≥5 of 68 tender joints at screening and baseline and a high‐sensitivity C‐reactive protein [CRP] level of ≥0.6 mg/dl at screening) despite current or previous DMARD therapy (≥3 months) and/or NSAID therapy (≥4 weeks) or demonstrate intolerance to these agents.
Previous biologic therapy for PsA was not permitted. Concomitant use of methotrexate (MTX) (≤25 mg/week) was permitted for patients who had been receiving MTX for ≥3 months before the first golimumab administration; MTX doses had to have remained stable for ≥4 weeks. Patients could receive concomitant oral corticosteroids if they had been receiving a stable dose (≤10 mg prednisone/day) for ≥2 weeks prior to the first golimumab administration. Patients were also permitted to receive concomitant NSAIDs at the usual approved marketed doses if they had received stable doses for ≥2 weeks prior to the first golimumab administration.
Patients were randomly assigned to treatment groups by stratified block randomization using an interactive web response system. Randomization was stratified by geographic region and baseline MTX use (yes or no). Patients and investigators were blinded with regard to treatment group assignment for the duration of the study.
Study design. GO‐VIBRANT is a phase III, multicenter, randomized, placebo‐controlled trial. Eligible patients were randomized to receive IV infusions of placebo or golimumab at 2 mg/kg at weeks 0 and 4 and every 8 weeks. Infusions were administered during a period of 30 ± 10 minutes. At week 16, patients in both treatment groups with <5% improvement in swollen and tender joint counts entered early escape and were allowed one of the following changes in treatment at the investigator's discretion: an increase in corticosteroid dose (total dose ≤10 mg/day prednisone or equivalent), MTX dose (total dose ≤25 mg/week), or NSAID dose; or initiation of NSAIDs, corticosteroids (≤10 mg/day prednisone or equivalent), MTX (≤25 mg/week), sulfasalazine (≤3 gm/day), hydroxychloroquine (≤400 mg/day), or leflunomide (≤20 mg/day).
Assessments. The activity of peripheral arthritis was primarily evaluated using the American College of Rheumatology (ACR) criteria for improvement in RA 10. Physical function was evaluated using the Health Assessment Questionnaire disability index (HAQ DI) 11. Enthesitis was assessed with the Leeds Enthesitis Index 12, which was developed for patients with PsA and evaluates the presence or absence of tenderness in the following entheses (left and right): lateral elbow epicondyle, medial femoral condyle, and Achilles tendon insertion. The presence and severity of dactylitis was assessed in both hands and feet using a scoring system from 0 to 3 (0 = no dactylitis, 1 = mild dactylitis, 2 = moderate dactylitis, and 3 = severe dactylitis). For patients with investigator‐assessed spondylitis with peripheral arthritis of PsA (n = 118), spondylitis was also assessed using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) 13. Skin response was evaluated using the Psoriasis Area and Severity Index (PASI), which ranges from 0 to 72 with higher scores indicating more severe disease, among patients with ≥3% body surface area involvement at baseline 14.
Health‐related quality of life (HRQoL) was evaluated using the Short Form 36 health survey (SF‐36) physical component summary (PCS) and mental component summary (MCS) scores 15. Minimal disease activity (MDA) was also evaluated as a composite measure with patients classified as achieving MDA if they met 5 of the following 7 criteria: tender joint count ≤1; swollen joint count ≤1; PASI ≤1 or body surface area involvement ≤3%; visual analog scale (VAS) score of ≤15 on patient's assessment of pain; VAS score of ≤20 on patient's global assessment of disease activity; HAQ DI score of ≤0.5; and ≤1 tender entheseal point 16.
Radiographs were obtained at weeks 0 and 24 and were read by 2 independent assessors who were blinded with regard to treatment group and time point. Patients who entered early escape also had radiographs at week 16. Changes in radiographic damage were measured using the modified Sharp/van der Heijde score (SHS) with modifications for patients with PsA (i.e., inclusion of distal interphalangeal joints in the hands and pencil‐in‐cup/gross osteolysis deformities) 17.
Patients were monitored throughout the study, including routine laboratory assessments, for adverse events (AEs). Serum golimumab concentrations were recorded at prespecified time points through week 20. The presence of antibodies to golimumab was assessed through week 20 using a recently developed, highly sensitive, drug‐tolerant enzyme immunoassay method in patients who received at least 1 administration of golimumab and had at least 1 postadministration sample available.
Statistical analysis. The primary end point was the proportion of patients meeting the ACR 20% improvement criteria (achieving an ACR20 response) 10 at week 14. Major secondary end points were the change from baseline in HAQ DI score at week 14, the proportion of patients with an ACR50 response at week 14, the proportion of patients with a ≥75% reduction in PASI scores (a PASI75 response) at week 14, and the change from baseline in total PsA‐modified SHS at week 24. To control for multiplicity, the major secondary end points were tested sequentially (according to the order listed above) only if the primary end point achieved statistical significance. Other controlled end points were change from baseline in enthesitis score at week 14, change from baseline in dactylitis score at week 14, change from baseline in SF‐36 PCS score at week 14, proportion of patients with an ACR50 response at week 24, proportion of patients with an ACR70 response at week 14, and change from baseline in SF‐36 MCS score at week 14. Changes in enthesitis and dactylitis were evaluated among patients with these findings at baseline. These end points were tested sequentially in the order listed only if the primary and major secondary end points achieved statistical significance. For other efficacy analyses, nominal P values were provided for selected end points.
Efficacy data were analyzed by randomized treatment group (intent‐to‐treat analysis). For the primary end point analysis (proportion of patients achieving an ACR20 response) and all other composite end points, missing data for components were imputed using last observation carried forward methodology, and patients with missing data for all components at week 14 were classified as nonresponders. For signs and symptoms end points, patients were classified as nonresponders (treatment failure) if they discontinued study treatment due to lack of efficacy, initiated prohibited therapies or had an increase in dose of MTX or oral corticosteroids (other than early escape treatment), or met the early escape criteria and initiated or increased concomitant medications.
The change in total PsA‐modified SHS was evaluated for randomized patients who had a baseline total PsA‐modified SHS. Multiple imputations 18, using data from patients who had data at both week 0 and week 24, were used to impute week 24 radiograph scores for missing data and/or early escape. A linear regression model with baseline score, ln(CRP + 1), and MTX usage as covariates was used to generate missing data. Comparisons were made using a t‐test from the aggregated data.
All statistical tests were performed at an alpha level of 0.05 (2‐sided). Differences between treatment groups were tested using the Cochran‐Mantel‐Haenszel test for dichotomous end points and mixed‐effects model repeated‐measures methodology using observed data for continuous variables. For the primary end point, it was estimated that 220 patients in each treatment group would ensure 99% power to detect a significant difference between the groups, assuming a 20% ACR20 response rate in the placebo group and a 40% ACR20 response rate in the golimumab group at a 2‐sided significance level of 0.05 (using a chi‐square test). In addition, for the radiographic end point, it was estimated that 220 patients in each group would provide 90.7% power to detect a significant difference in the mean change in total PsA‐modified SHS between treatment groups.
Publication 2017
We collected data on patient demographics (age, sex, place of residence, and income level) and on the medications used for IBD treatment, including 5-aminosalicylic acid (ASA), corticosteroids, immunomodulators (azathioprine/6-mercaptopurine and methotrexate), and anti-tumor necrosis factor (TNF)-α agents (infliximab, adalimumab and golimumab). Medication use was defined as all relevant medications prescribed within 1 year of the diagnosis of IBD. We also collected information on comorbidities identified with ICD-10 codes, including hypertension (ICD-10 codes: I10-13 and I15, and medications for treating hypertension), DM (E11-14, and medications for treating DM), dyslipidemia (E78, and medications for treating dyslipidemia), congestive heart failure (I50), ischemic heart disease (I20-I25), hyperuricemia, and gout (E79 and M10). The definitions of these comorbidities were validated previously[19 (link)]. The metabolically healthy condition was defined as the absence of DM, hypertension, and dyslipidemia. An underlying disease was defined as the presence of at least one of the following: DM, hypertension, dyslipidemia, congestive heart failure, ischemic heart disease, hyperuricemia, and gout.
The primary endpoint was newly diagnosed ESRD during follow-up. ESRD was detected with the combination of an ICD-10 code (N18-19, Z49, Z94.0, and Z99.2) and a V code assigned to patients with CKD that required hemodialysis (V001), peritoneal dialysis (V003), or a kidney transplantation (V005), as defined previously[19 (link)]. All patients that underwent dialysis or a kidney transplantation were enrolled in the RID program; therefore, we could identify and analyze data for all patients with ESRD in the study population. Both the IBD cohort and the matched control cohort were followed-up for the development of ESRD until December 2015. During follow-up, patients without newly developed ESRD were censored on the last day of follow-up or the date of death.
Publication 2018
Adalimumab Adrenal Cortex Hormones Anti-Anxiety Agents Azathioprine Congestive Heart Failure Dialysis Dyslipidemias golimumab Gout Hemodialysis High Blood Pressures Hyperuricemia Immunologic Adjuvants Infliximab Kidney Failure, Chronic Kidney Transplantation Mercaptopurine Mesalamine Methotrexate Myocardial Ischemia Patients Peritoneal Dialysis Pharmaceutical Preparations TNF protein, human
Patients (≥18 years of age) with RA (≥6 months, revised 1987 American College of Rheumatology (ACR) criteria) who met the following major criteria were included: swollen joint count of 4 or greater (66-joint count) and tender joint count of 4 or greater (68-joint count) at screening and baseline, C-reactive protein (CRP) 10 mg/L or greater and/or erythrocyte sedimentation rate (ESR) 28 mm/h or greater at screening. Patients must have received one or more traditional DMARD at a stable dose for 8 weeks or longer before baseline. Patients were required to have had an inadequate response to DMARD (up to 20% of patients may have failed one or more anti-TNF). Before random assignment, patients discontinued all biological DMARD, including etanercept for 2 weeks or longer and infliximab, certolizumab, golimumab or adalimumab for 8 weeks or longer. Concomitant oral glucocorticoids (≤10 mg/day prednisone or equivalent) and non-steroidal anti-inflammatory drugs (up to the maximum recommended dose) were permitted if patients were on a stable dose for 4 weeks or longer before baseline.
Major exclusion criteria included ongoing rheumatic or inflammatory joint diseases other than RA, any active infections, history of malignancy, positive hepatitis B surface antigen or hepatitis C antibody, serious allergies to biological agents, previous treatment with tocilizumab, alkylating agents or cell-depleting therapies or treatment with any investigational agent at less than 4 weeks of screening, and intra-articular or parenteral glucocorticoids or immunisation with a live/attenuated vaccine less than 4 weeks before baseline. Tuberculosis screening was managed according to local practice.
Publication 2013
Adalimumab Alkylating Agents Anti-Inflammatory Agents, Non-Steroidal Antirheumatic Drugs, Disease-Modifying Arthritis Biological Factors Biopharmaceuticals Cell Therapy Certolizumab Pegol C Reactive Protein Etanercept Glucocorticoids golimumab Hepatitis B Surface Antigens Hepatitis C Antibodies Hypersensitivity Immunization Infection Infliximab Joints Malignant Neoplasms Parenteral Nutrition Patients Prednisone Sedimentation Rates, Erythrocyte Therapies, Investigational tocilizumab Tuberculosis Vaccines, Attenuated

Most recents protocols related to «Golimumab»

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Publication 2024
This retrospective, non-interventional analysis of golimumab retention was carried out using the BIOBADASER database, the Spanish registry of biological drugs. The main characteristics of the registry have been described elsewhere previously (17 (link)). For this analysis, all adults enrolled in BIOBADASER who had started a first cycle of golimumab for RA or SpA (including ax-SpA and PsA) treatment, more than 6 months before the date of data extraction (November 2021) were included. Covariates included sex, age, disease duration at golimumab initiation, diagnosis, line of biological therapy, co-treatment with methotrexate and/or glucocorticoids, and disease activity as assessed by DAS28 erythrocyte sedimentation rate (RA, PsA) (18 (link)) or BASDAI (ax-SpA) (19 ).
All procedures and materials complied with the principles of the Declaration of Helsinki and with Spanish regulations on data protection and research. Patients provide informed consent prior to enrolling in BIOBADASER, which includes consent for subsequent analysis of anonymised aggregated data, as approved by the Clinical Research Committee of the Hospital Universitario Clinic Barcelona (code FER-ADA-2015-01). Consequently, specific informed consent for the current analysis was not needed.
Publication 2024
Descriptive statistics are displayed as means with standard deviations (SD), medians with interquartile ranges (IQR), or percentages (%). Golimumab retention was defined as the probability of long-term drug retention of up to 8 years’ treatment and was assessed using Kaplan–Meier survival analysis as described elsewhere (10 (link)). The observed retention curve of golimumab was fitted to a two-phase exponential decay curve using GraphPad Prism version 10.0.0 for Windows, GraphPad Software, Boston, Massachusetts USA, www.graphpad.com.
The double exponential fitting model combines two exponential functions, one fast and one slow. The model is defined by the following formula:
Retention (t) is the retention assessed at t (time) and “t” represents the independent variable, SpanFast and SpanSlow stand for the amplitude of the fast and slow exponential components, respectively, and KFast and KSlow represent the inverse of the time constant of the fast and slow exponential components, respectively. Fitting the data to this model enables estimation of the optimal values for SpanFast, SpanSlow, KFast, and KSlow, using a nonlinear fit to maximise the coefficient of determination (R2).
The retention rate value at the point of transition of the curve from fast to slow decay (i.e., from high to slow golimumab discontinuation rate) was calculated according to the following formula:
where Retention0 is the retention value when X(time) is zero, Plateau is the retention value at infinite times and PercentFast is the fraction of the span (from Retention0 to Plateau) where the decay is fastest (defined as (SpanFast/[SpanFast + SpanSlow])*100). No predefined constants were included in the model.
After identifying the time point when the retention curve showed a change in trend (i.e., when golimumab discontinuation changed from high to low discontinuation rate), the variables associated with the retention rate at that moment were analysed using Cox regression analysis. The Cox-regression model was built with the forward Wald variable selection method on those variables that showed p<0.2 in the univariate analyses. The median of activity indexes (DAS 28 and BASDAI) was used to include this variable in the model as binary (above or below the median). The 2-factors interactions were also analysed using a multivariable Cox proportional hazards regression model during the fast decay period for the total population. Hazard ratios (HR) for golimumab discontinuation and 95% confidence intervals (95% CI) were calculated. Analyses were performed for the overall population, and separately for the RA and the SpA (including ax-SpA and PsA) cohorts. Pooling of patients with ax-SpA and PsA was performed since the Kaplan–Meier curves overlapped and showed similar shape and retention rates.
Finally, with these variables identified, the retention rates for subgroups defined by combinations of the different variables at the timepoint the retention curve changed from fast to slow decay were calculated. All statistical analyses were performed using SPSS (version 25, IBM SPSS, Armonk, NY). Results were considered statistically significant if p< 0.05.
Publication 2024
The CONSUL study (figure 1) was a randomised, controlled, multicentre, open-label clinical phase IV trial. The study consisted of a 6-week screening period, a 12-week period (phase I: ‘run-in phase’) of treatment with golimumab 50 mg subcutaneously (s.c.) every 4 weeks for all subjects followed by a 96-week controlled treatment period (phase II: ‘core phase’) with golimumab plus celecoxib versus golimumab alone for patients with a sufficient treatment response to golimumab, and a safety follow-up period of 4 weeks (https://bmjopen.bmj.com/content/bmjopen/7/6/e014591.full.pdf).27 (link) Only those patients with a good clinical response to golimumab in phase I (improvement of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) Score by ≥2 absolute points on a 0–10 numerical rating scale (NRS) at week 1228 (link) were eligible for phase II and were randomised based on a 1:1 ratio to receive golimumab 50 mg s.c. every 4 weeks plus celecoxib (in a daily dose of 400 mg/day) (=combination therapy) or golimumab 50 mg s.c. every 4 weeks alone (=monotherapy) for another 96 weeks followed by a 4-week safety follow-up.27 (link) The details of the study protoco and of the randomisation procedure can be found as online supplemental file 2.
Publication 2024
The treatment patterns described above were also assessed in a subgroup of biologic-experienced patients receiving ixekizumab. Biologic-experienced patients were defined as patients who had claims for IL-17i (secukinumab), subcutaneous TNFi (adalimumab, etanercept, golimumab, and certolizumab), and intravenous TNFi (infliximab, golimumab) in the pre-index period.
Publication 2024

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More about "Golimumab"

Golimumab is a human monoclonal antibody medication used to treat various inflammatory conditions, such as rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis.
It works by binding to and neutralizing the inflammatory cytokine tumor necrosis factor alpha (TNF-alpha), effectively reducing inflammation in the body.
PubCompare.ai's AI-driven analysis can help optimize Golimumab research by identifying the most effective protocols and products from literature, preprints, and patents, enhancing reproducibility and accuracy.
This powerful tool can assist researchers in locating the best product protocols, improving the overall quality and success of Golimumab-related studies.
In addition to Golimumab, related terms and products that may be of interest include Simponi (the brand name for Golimumab), Iodoacetamide (a chemical commonly used in protein research), Prism 9 (a data analysis software), LC-MS grade formic acid (a solvent used in mass spectrometry), Protein Deglycosylation Mix II (an enzyme cocktail for deglycosylation), and Ab119535 (a monoclonal antibody product).
SAS version 9.4 and SAS 9.4 are also relevant software platforms that may be utilized in Golimumab research and data analysis.
Experince the power of PubCompare.ai for your Golimumab research today and unlock the full potential of this valuable therapeutic agent!