The largest database of trusted experimental protocols
> Disorders > Pathologic Function > Concomitant disease

Concomitant disease

Concomitant disease refers to the simultaneous presence of two or more medical conditions in an individual.
This can have significant implications for diagnosis, treatment, and patient outcomes.
Concomitant diseases may interact, exacerbate one another, or complicate the management of the primary condition.
Understanding the prevalence and impact of concomitent diseases is crucial for developing effective, personalized healthcare strategies.
Researchers leveraging PubCompare.ai's AI-driven platform can identify comncomitant diseases and streamline their studies, leading to greater research impact and improved patient care.

Most cited protocols related to «Concomitant disease»

The GAD-7 questionnaire is a one-dimensional self-administered scale designed to assess the presence of the symptoms of Generalized Anxiety Disorder (GAD), as listed in the DSM-IV. The contents of the questionnaire were selected by the original authors from a larger list of symptoms. Since the Spanish version has inherited these contents, its content validity is justified by the original version. Since the objective was to obtain an instrument as similar to the original as possible, extraction of additional contents was considered inappropriate. The methodology currently recommended for adaptation of psychometric instruments was used [23 (link),24 ]; assumptions of the Classical Test Theory were also used [25 ]. The total GAD-7 score is calculated by simple addition of the answers to each item. Scores for all 7 items range from 0 (Not at all) and 3 (Nearly every day). Therefore, the total score ranges from 0 and 21. According to the original authors [22 (link)], the total score may be categorized into four severity groups: minimal (0-4), mild (5-9), moderate (10-14) and serious (14-20)[22 (link)].
The process of cultural adaptation of the questionnaire started with duplicate translations of the English original into Spanish by two separate English-speaking native translators. Both translations were reviewed by an Expert Panel consisting of 4 clinicians (including a psychiatrist), 1 expert in clinical research, and 2 methodologists specialized in measurement tasks. Both translations were then merged into a single reconciled version, which was subject to a content validity process by interrater agreement estimation. A panel of 8 specialists in psychiatric disorders was selected for this purpose. These specialists independently assessed whether each item did or did not properly measure GAD (objective concept) and whether it could or could not measure depression (distractor concept). The index of item-objective congruence was computed from the specialists' ratings [26 ]. This index has a value of 1 in the event of perfect congruence in assigning the item to one domain, and a valued of -1 when such congruence is lacking.
After content validity assessment, a pilot test was conducted on a reduced sample of patients and control subjects to assess understandability and feasibility of the translation in real subjects. Completion time was also estimated. As the questionnaire will be used in the future to identify possible GAD cases, a subsample of healthy subjects was included to further assess understandability. The reconciled version was administered to the pilot sample together with a brief additional questionnaire to ascertain the help needed to complete the questionnaire, the difficulties encountered, and sociodemographic variables. In view of the results obtained in the pilot test, the questionnaire header was modified to emphasize the frequency of symptom onset; the anchors of the response categories were also modified. The final version was translated back into English by two separate translators and sent to the original authors for conceptual equivalence assessment.
Once piloted, the final version was included in a Case Report Form (CRF) for administration to the scaling and validation sample subjects in order to determine the psychometric properties of the final version. The CRF included information on disease diagnosis, sociodemographic variables, disease treatment variables and concomitant diseases, several concurrent questionnaires of patient-reported measures, and information on the number of visits to primary care and specialist physicians.
Full text: Click here
Publication 2010

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2008
The following cases from the Center for Neuropathology and Prion Research (Munich, Germany), Center for Neurodegenerative Disease Research (Philadelphia, USA) and Department of Neuropathology (Aalborg, Denmark) were included in the study: i) familial FTLD-U with linkage to chrom 9p (n=4), GRN (n=5), and VCP (n= 4) mutations; ii) FTLD-U either sporadic or familial with unknown genetic defect (subtype 1 (n=14); subtype 2 (n=19); subtype 3 (n=18) according to [33 (link)]); iii) ALS (n=18); iv) Tauopathies with concomitant TDP-43 pathology (AD+TDP-43 (n=3); CBD+TDP-43 (n=2). Cases of FTLD-U had a clinical diagnosis of the FTD spectrum (behavioural variant of FTD, progressive non-fluent aphasia, semantic dementia) with or without concomitant MND. Cases of ALS had clinical signs of MND with some of them developing cognitive changes only late in disease process. In addition, healthy controls (n=5), AD without TDP-43 pathology (n=5), CBD without TDP-43 (n=4) and TDP-43 negative FTLD-U cases (n=9) [31 (link)] were included. Demographic, clinical and neuropathological data are summarized in Table 1.
Publication 2009
Broca Aphasia Chromium Cognition Disorders Congenital Abnormality Diagnosis Frontotemporal Lobar Degeneration Mutation Neurodegenerative Disorders Prions protein TDP-43, human Semantic Dementia Tauopathies

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2009
Adult Alcohol Use Disorder Antibodies, Antinuclear Autoimmune Chronic Hepatitis Child Ethanol Fibrosis Hemochromatosis Hepatitis B Hepatolenticular Degeneration Hypergammaglobulinemia Liver Diseases Metformin Necrosis Non-alcoholic Fatty Liver Disease Nonalcoholic Steatohepatitis Pioglitazone Placebos Primary Biliary Cholangitis SERPINA5 protein, human TimeLine Vitamin E Woman
Sequential steps in causality assessment are outlined in Fig. 1. Complete clinical data, including serial laboratory test results together with the local ULN values, were extracted from the clinical records and entered into a 65-page case report form (CRF). To exclude conditions that can mimic drug-induced liver disease, the patients and their medical records were screened for previous liver disease, alcohol use, serological and virological evidence of hepatitis A, B, or C infection, autoantibodies, ceruloplasmin, alpha-1-antitrypsin, ferritin, and iron; additionally, results of imaging studies were reviewed. Patients who had not been fully evaluated when they were first identified underwent testing for any missing laboratory data at enrollment. Liver biopsy was not required for adjudication purposes, but if it was performed as part of routine clinical care, the results were collected and made available to reviewers. To facilitate adjudication, the extensive database was summarized in an abbreviated CRF that included such key elements as the date of onset of liver injury, complete information about all medications taken within 6 months of onset of the event, the presence of symptoms and signs of liver disease, pertinent past medical history, complete laboratory tests, imaging and liver biopsy results, and serial results for ALT, AST, AP, serum bilirubin, and the prothrombin time or INR.
In addition to the short CRF summary, a succinct case summary called the clinical narrative was completed by the study investigator who enrolled the subject. The narrative provided detailed information on the history and chronology of the illness with dates of drug initiation and liver disease onset, pertinent features of the liver disease, and the time to improvement or recovery. The narrative also included information on past use of the implicated agent and significant concomitant drugs, the past medical history, the extent of alcohol use, whether there had been an episode of hypotension, and information on the course of the illness, including hospitalization, a history of hepatic decompensation or organ failure, and death or liver transplantation. Finally, the investigator provided a rationale for ascribing the event to a specific medication or medications without offering a personal view on the estimated strength of the association.
Publication 2010
Autoantibodies Bilirubin Biopsy Ceruloplasmin Disease Progression Drug-Induced Liver Disease Ferritin Hepatitis A Hepatobiliary Disorder Hospitalization Infection Injuries Iron Liver Liver Diseases Liver Transplantations Patients Pharmaceutical Preparations SERPINA1 protein, human Serum Times, Prothrombin

Most recents protocols related to «Concomitant disease»

Information from patients’ electronic health records regarding co-morbidities, medical history, and intercurrent disease is registered at baseline and throughout the course of the trial.
Full text: Click here
Publication 2024
Height and weight were assessed in all patients the day prior to surgery to mitigate potential measurement and temporal biases. BMI was calculated by dividing the weight in kilograms by the square of their height in meters (kg/m2). The duration of GD was defined as the number of years between the date of initial diagnosis and the date of surgery. Disease status was assessed using the serum thyroid function test (TFT), including thyroid stimulating hormone (TSH), triiodothyronine (T3), free thyroxine (T4), and TR-Ab levels before surgery, either as outpatients or after hospital admission. Pathology reports were used to review the final results after surgery.
Patients with GD received treatment based on the 2016 American Thyroid Association (ATA) guidelines for hyperthyroidism (1 (link)). Patients with concomitant thyroid cancer were managed according to the 2015 ATA management guidelines for differentiated thyroid cancer (37 (link)). After the thyroidectomy, all patients discontinued antithyroid drugs and started taking L-T4 at a daily dosage suitable for their body weight (1.6 μg/kg). Patients with concomitant thyroid cancer were closely monitored every 3–6 months during the first year and then annually thereafter. Thyroid ultrasonography was conducted annually for patients with cancer.
Full text: Click here
Publication 2024

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2024
Patients were excluded from study if they had any of the following: concomitant prescription of steatosis-inducing drugs, excessive alcohol consumption (>210 g/week in men or >140 g/week in women), infection with viral hepatitis B or C, or histological features of other concomitant chronic liver disease. Patients were also excluded if they had a diagnosis of other metabolic liver disease (hemochromatosis, α1-antitrypsin deficiency, or Wilson’s disease), autoimmune liver disease, drug-induced liver disease, liver cirrhosis-related complications (ascites, variceal bleeding, and systemic infection), HCC, and history of chronic inflammatory bowel disease, or had been prescribed antibiotics in the 2 months preceding study commencement.
Full text: Click here
Publication 2024
The records of DTC patients treated with RAI at our institution between January 2016 and December 2019 were screened. These included patients with the following criteria: adult, underwent total thyroidectomy, and RAI for the first time within six months after surgery. The exclusion criteria were the following: (1) age < 18 years; (2) concomitant therapy with corticosteroids or drugs with a known effect on hypothalamic pituitary thyrotropic activity (e.g., benzodiazepines, antidepressants, and antipsychotics) or anticoagulation drugs; (3) TSH below the target (i.e., ≥30 µU/mL) just before RAI; and (4) concomitant diagnosis potentially interfering with BIIX values (i.e., chronic inflammatory disease, autoimmune disease, acute or chronic infection, hematologic disease, heart failure, atrial fibrillation, myeloproliferative disorders, hepatic or renal disorders, and other endocrine or metabolic disorders including diabetes mellitus).
Full text: Click here
Publication 2024

Top products related to «Concomitant disease»

Sourced in United States, Austria, Japan, Cameroon, Germany, United Kingdom, Canada, Belgium, Israel, Denmark, Australia, New Caledonia, France, Argentina, Sweden, Ireland, India
SAS version 9.4 is a statistical software package. It provides tools for data management, analysis, and reporting. The software is designed to help users extract insights from data and make informed decisions.
Sourced in United States, Austria, Japan, Belgium, United Kingdom, Cameroon, China, Denmark, Canada, Israel, New Caledonia, Germany, Poland, India, France, Ireland, Australia
SAS 9.4 is an integrated software suite for advanced analytics, data management, and business intelligence. It provides a comprehensive platform for data analysis, modeling, and reporting. SAS 9.4 offers a wide range of capabilities, including data manipulation, statistical analysis, predictive modeling, and visual data exploration.
Sourced in United States, Japan, United Kingdom, Austria, Germany, Czechia, Belgium, Denmark, Canada
SPSS version 22.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data for research and business purposes. The software provides a range of statistical analysis tools and techniques, including regression analysis, hypothesis testing, and data visualization.
Sourced in United States, Austria, Australia
Stata V.15 is a comprehensive statistical software package that provides a wide range of data analysis and management tools. It offers features for data manipulation, statistical modeling, graphics, and programming. Stata V.15 is designed to handle complex data structures and provide advanced analytical capabilities for researchers, analysts, and professionals across various fields.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium, China, Italy, India, Israel, France, Spain, Denmark, Canada, Hong Kong, Poland, Australia
SPSS is a software package used for statistical analysis. It provides a graphical user interface for data manipulation, statistical analysis, and visualization. SPSS offers a wide range of statistical techniques, including regression analysis, factor analysis, and time series analysis.
Sourced in United States, United Kingdom, Belgium, Austria, Lao People's Democratic Republic, Canada, Germany, France, Japan, Israel
Prism software is a data analysis and graphing tool developed by GraphPad. It is designed to help researchers and scientists visualize, analyze, and present their data. Prism software provides a range of statistical and graphical capabilities to help users interpret their experimental results.
Sourced in United States, Austria, Canada, Belgium, United Kingdom, Germany, China, Japan, Poland, Israel, Switzerland, New Zealand, Australia, Spain, Sweden
Prism 8 is a data analysis and graphing software developed by GraphPad. It is designed for researchers to visualize, analyze, and present scientific data.
Sourced in United States, Austria, Japan, Cameroon
SAS statistical software is a comprehensive data analysis and visualization tool. It provides a wide range of statistical procedures and analytical capabilities for managing, analyzing, and presenting data. The software is designed to handle large and complex datasets, allowing users to perform advanced statistical modeling, regression analysis, and data mining tasks. The core function of the SAS statistical software is to enable users to extract insights and make data-driven decisions.
Sourced in United States, Japan, United Kingdom, Germany, Austria, Belgium
SPSS Statistics version 20 is a comprehensive software package for statistical analysis. It provides a wide range of statistical procedures and techniques for data management, analysis, and presentation. The software is designed to handle a variety of data types and can be used for tasks such as descriptive statistics, regression analysis, and hypothesis testing.
Sourced in United States, Japan, United Kingdom, Germany, Belgium, Austria, China, Spain, Ireland
SPSS version 24 is a statistical software package developed by IBM. It provides a comprehensive set of tools for data analysis, including techniques for descriptive statistics, regression analysis, and predictive modeling. The software is designed to help users interpret data, identify trends, and make informed decisions based on statistical insights.

More about "Concomitant disease"

Concomitant diseases, comorbidities, multimorbidity, co-occurring conditions, complicating conditions, concurrent disorders, simultaneous medical conditions, overlapping ailments, linked pathologies, interconnected health issues.
Understanding and managing concomitant diseases is crucial for effective, personalized healthcare.
Researchers leveraging advanced AI-driven platforms like PubCompare.ai can identify concomitant diseases and streamline their studies, leading to greater research impact and improved patient outcomes.
Concomitant diseases can have significant implications for diagnosis, treatment, and patient prognosis.
These co-occurring conditions may interact, exacerbate one another, or complicate the management of the primary condition.
For example, a patient with diabetes and hypertension may require specialized care and medication adjustments to address both conditions effectively.
Analyzing concomitant diseases is a key focus in medical research, with tools like SAS version 9.4, SPSS version 22.0, Stata V.15, and SPSS Statistics version 20 being commonly used for data analysis.
Prism 8 software can also be leveraged to visualize the relationships between comorbidities.
By identifying and understanding concomitant diseases, researchers and clinicians can develop more effective, personalized healthcare strategies that optimize patient outcomes.