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Defecation

Defecation, the act of eliminating solid waste from the body, is a critical physiological process.
This term encompasses the complex mechanisms involved in the expulsion of feces from the rectum, including muscular contractions, neural signaling, and hormonal regulation.
Researchers studying defecation may investigate topics such as bowel habits, digestive disorders, and the impact of diet and lifestyle on bowel function.
Understanding the nuances of defecation is essential for maintaining gastrointestinal health and developing effective therapies for conditions like constipation, diarrhea, and fecal incontinence.
Pubcompare.ai's AI-driven protocol comparison tool can help optimize your defecation research by quickly identifying the most relevant literature, pre-prints, and patents to inform your studies.

Most cited protocols related to «Defecation»

Data for this study were acquired from a recently completed placebo-controlled randomized trial of rosiglitazone for mild to moderately active ulcerative colitis (clinicaltrials.gov #NCT00065065) which has been described in greater detail previously.7 (link) The trial used a slight modification of the Mayo score to assess disease activity (Table 1). Specifically, the bleeding component as described in the Mayo index was modified such that a score of 3 required both visible blood in 50% or more of bowel movements and at least some bowel movements with blood alone.
The study included 105 patients with mild to moderately active disease defined as a total DAI score of 4 to 10, inclusively. Patients were randomized in a 1:1 ratio to receive either rosiglitazone 4 mg or placebo twice daily for 12 weeks. Disease activity was measured at randomization and every four weeks thereafter until week 12, however lower endoscopy was only completed at week 0 and week 12, such that only a partial Mayo score (9 point scale that excludes the endoscopic appearance of the mucosa) could be calculated at the interim visits. In the very early accrual period of the study, a follow-up visit was included at week 2. Without knowledge of the response rates in either arm, the Data and Safety Monitoring Board (DSMB) requested that the week 2 follow-up evaluation be eliminated with the hopes of minimizing the placebo response rate and maximizing recruitment and retention.6 (link), 8 (link), 9 (link) Eighteen patients completed the week 2 follow-up visit.
During the course of the study, patients could be treated with other conventional medications used to treat active ulcerative colitis including mesalamine, oral corticosteroids, immunomodulators, or topical therapies (mesalamine or corticosteroids) at stable doses. Use of corticosteroids at doses greater than 20mg per day of prednisone or the equivalent was an exclusion criterion. Steroid tapering was not permitted during the study.
In anticipation of this sub-study, at each visit we also included questions about change in disease activity compared to the previous visit and compared to the randomization visit on a global seven-point scale (Table 2). The choices included much better, moderately better, a little better, unchanged, a little worse, moderately worse, and much worse. Patients also graded their current disease activity at each visit on a 6 point Likert scale – perfect, very good (minimal symptoms), good (only mild symptoms), moderately active, moderately severe, or severe. Data on quality of life were measured with the Inflammatory Bowel Disease Questionnaire (IBDQ) authored by Dr. Jan Irvine under license from McMaster University, Hamilton, Canada.10 (link)
Publication 2008
Adrenal Cortex Hormones BLOOD Clinical Trials Data Monitoring Committees Defecation Endoscopy Endoscopy, Gastrointestinal Immunologic Adjuvants Inflammatory Bowel Diseases Mesalamine Mucous Membrane Patients Pharmaceutical Preparations Placebos Prednisone Retention (Psychology) Rosiglitazone Steroids Ulcerative Colitis
We have used a list of various possibly stress, anxiety or somatoform-related symptoms such as irritability, fatigue, hostility, feeling of tension, inability to concentrate, musculoskeletal symptoms (neck or upper back pain or discomfort), gastrointestinal symptoms (abdominal pain or discomfort, nausea, alterations in bowel habits), headaches, sleep disturbances, tachycardia, increased blood pressure, palpitations, chest discomfort, dizziness and substance abuse [27 ]. This checklist is not intended as a psychometric tool. It consists of nonspecific symptoms described as related to stress. Stress symptoms, in general, claim more sensitivity than specificity, as such, we were particularly interested on the number of cardinal stress manifestations and not on the evaluation of a situation or psychological state. Participants were asked about the frequency of experiencing these symptoms during the last year and each symptom was binary categorized as frequent or not. Some of these symptoms may not well be expressed as binary variables and suffered low specificity but our interest was to evaluate the coexistence of these stress-related symptoms with high PSS scores. The total number of frequent symptoms was calculated and each participant was categorized in five groups (symptoms less or equal to three, four, five, six and more than six).
Publication 2011
Abdominal Pain Anxiety Back Pain Blood Pressure Chest Defecation Fatigue Headache Hostility Nausea Neck Psychometrics Sleep Disorders Substance Abuse
All analyses were conducted pooling patients in both arms of the clinical trial. Descriptive statistics were used to describe patients included in the study. Continuous variables are reported as medians and interquartile ranges and categorical variables as proportions. Correlations were measured using Spearman correlation coefficients (rho). Except where noted, only data for patients who completed the week 12 study visit were analyzed; this allowed for greater variation in disease activity than at baseline, since at randomization all patients were required to have DAI scores between 4 and 10, inclusive.
To assess sensitivity and specificity for clinical remission and clinical response, we relied on the patient’s assessment of disease activity in the preceding 24 hours at randomization and at the week 12 visit. Clinical remission was defined as a self-assessment of perfect or very good (minimal disease activity). Clinical response required improvement by at least two points on the 6 point Likert scale. Receiver operating characteristics (ROC) curves were generated and the C-statistic was calculated as a summary measure of the discriminative properties of the indices. Optimal cut points were identified by the highest sensitivity × specificity product. Area under the ROC curves for different disease indices were compared using the roccomp command in Stata v10 (Stata Corp, College Station, TX).
Because neither the patient rating nor the Mayo score are a pure gold standard for disease activity, we also calculated kappa statistics across a range of cut points to assess the impact of changing cut points on the agreement between the patient ratings and partial Mayo score. The kappa statistic measures the degree of agreement between the two measures beyond that which would be expected by chance. The kappa statistic can have values ranging from −1 to 1, with values of .41–.60 representing moderate agreement, .61–.80 representing substantial agreement, and values greater than .80 representing almost perfect agreement.11 (link)
Finally, because the physician’s global assessment is likely greatly driven by the patient’s report of bowel movement frequency and bleeding, we examined whether a score composed exclusively of these two factors would perform as well as the modified DAI. This six-point scale was compared to the patient’s self report in the same manner described for the full and partial Mayo scores. We refer to this as the “6 point scale” in this report.
Publication 2008
Arm, Upper Defecation Discrimination, Psychology Gold Inclusion Bodies Patients Physicians Self-Assessment
As the primary goal of this project was to develop an HRQL measure for widespread use in neurology clinical trials and clinical research, a key first task was to identify criteria for the acceptance of HRQL measures in these communities. We then undertook an extensive research, survey and consensus process to identify target neurological conditions, resulting in the selection of 5 adult conditions (stroke, multiple sclerosis, Parkinson’s disease, epilepsy and ALS) and 2 pediatric conditions (epilepsy and muscular dystrophies–the pediatric development efforts and resulting item banks will be discussed in another article). We identified domains through multiple methods and data sources. This included a comprehensive review of the literature and literature search, expert interviews and surveys and patient and caregiver focus groups. All of the processes listed above are described in detail in the online supplement to this manuscript. A complete description of the Neuro-QOL focus group process used to assess participants’ definition of HRQL and what areas of HRQL were most impacted by their disorder and/or treatment is described in Perez et al. [2 (link)].
In total, we fully developed instruments representing 17 domains of HRQL under three broad aspects of selfreported health (Physical, Mental and Social–see Table 1) which assess concepts universally applicable across the 5 adult disorders. Included in these domains are four additional item “pools” for domains deemed important for assessment, but of lower priority than the other domains (Bowel Function, Urinary/Bladder Function, Sexual Function and End of Life Concerns). While funding to field test and calibrate these four pools was not included as part of the contract initiative, several subsequent studies are mirroring the Neuro-QOL development methodology to create validated instruments for these additional domains.
Publication 2011
Adult Cerebrovascular Accident Defecation Dietary Supplements Epilepsy Multiple Sclerosis Muscular Dystrophy Nervous System Disorder Patients Urinary Bladder Vaginal Diaphragm
To establish criterion validity, the correlation between PDDS and EDSS scores were examined as the EDSS is the most common and accepted measure of disability status in MS. To establish the convergent and divergent aspects of construct validity, we examined the correlations between PDDS scores with FS scores and other clinical outcomes. The correlations with measures related to mobility (i.e., pyramidal functions, cerebellar functions, sensory functions, 6 MW, T25FW, TUG, steps/day, BLEF and ALEF) provided information on the convergent validity of the PDDS, whilst comparisons with outcomes related to other, non-mobility constructs (i.e. optic functions, brainstem functions, bowel/bladder functions, mental status function, demographic variables, UEF, SDMT and PASAT) provide information on the divergent validity of the PDDS.
Publication 2013
Brain Stem Cerebellum Defecation Disabled Persons Eye Pervasive Development Disorders Range of Motion, Articular Respiratory Diaphragm Urinary Bladder

Most recents protocols related to «Defecation»

Example 8

Ceftriaxone (at 3 ug/ml or 1500 ug/ml) was mixed with human intestinal chyme alone, or with chyme plus SYN-004 (8 ug/ml) or with chyme plus the beta-lactamase inhibitor sulbactam, (20 mg/ml) or chyme plus both and then the samples were flash frozen. The flash frozen samples were thawed on ice and sulbactam was added to some samples, the protein was precipitated with acetonitrile and the samples were analyzed for ceftriaxone concentration by LC/MS-MS. The table below provides results from triplicate samples.

Percent of untreated control sample
Sample3 ug/ml ceftriaxone1500 ug/ml ceftriaxone
Ceftriaxone alone100% 1100% 1
Ceftriaxone plus SYN-004 0% 0%
Ceftriaxone plus SYN-004, sulbactam added at  0% 2%
sample thaw
Ceftriaxone plus sulbactam and then add SYN-004ND 253.5%  
1 Nominally set at 100%
2 Not done

Even at 20 mg/ml Sulbactam, 8 ug/ml of SYN-004 could not be inhibited (that's a molar ratio of about 287,000:1, sulbactam to SYN-004). Altogether, these data suggested that Sulbactam did not substantially inhibit SYN-004 activity in intestinal chyme.

Patent 2024
acetonitrile beta-Lactamase Inhibitors Cardiac Arrest Ceftriaxone Defecation Freezing Homo sapiens Intestines Molar Proteins Sulbactam SYN-004 Tandem Mass Spectrometry TCL1B protein, human

Example 7

Intestinal microbiota having at least one tryptophan decarboxylase enzyme (e.g., C. sporogenes and R. gnavus) is given orally (in the form of a probiotic, prebiotic, or symbiotic) to a subject. The subject is evaluated for the presence of the provided bacteria (e.g., probiotic bacteria) in the intestine, production of tryptamine in the intestine, and improved gastrointestinal epithelial function (e.g., colonic contractility). Subjects include GF, HM, 5HTR4 KO, and WT mice. Subjects also include animals (e.g., humans) having a gastrointestinal disorder.

Patent 2024
Animals Aromatic-L-Amino-Acid Decarboxylases Bacteria Colon Defecation Enzymes Gastrointestinal Diseases Gastrointestinal Microbiome Homo sapiens Intestines Mus Muscle Contraction Prebiotics Probiotics Symbiosis Tryptamines
Two authors (MX and YZ) independently extracted the following data: (1) anastomotic leakage, (2) defecation frequency, (3) anastomotic stricture, (4) reoperation, (5) postoperative mortality within 30 days, (6) fecal urgency, (7) incomplete defecation, (8) use of antidiarrheal medication, and (9) quality of life. We recorded the results of bowel function outcomes at 3, 6, 12, and 24 months following stoma retraction (or without stoma surgery). We considered the most common and concerning anastomotic leakage and defecation frequency as the primary outcome indicators, and the rest were secondary outcome indicators. Anastomotic leakage is defined as a significant crack at the edge of the anastomosis, leakage of bowel contents seen in the pelvis on imaging or endoscopy, or purulent discharge from the pelvic drainage tube. The defecation frequency was determined based on the patient-described average number of daily bowel movements.
Publication 2023
Anastomotic Leak Antidiarrheals Defecation Drainage Endoscopy, Gastrointestinal Feces Intestinal Contents Patient Discharge Patients Pelvis Second Look Surgery Stenosis Surgical Anastomoses Surgical Stoma Vision
We performed a network meta-analysis using the Bayesian framework employing gemtc and rjags packages in R4.2.0 (https://www.r-project.org/). Simultaneously, the meta package was used for pairwise analysis. Network meta-analysis results provided more accurate estimates and ranked various interventions to provide clinical recommendations compared to results from traditional pairwise analyses [21 (link), 22 (link)]. We uniformly used random effects models as conservative estimates, generating a risk ratio (RR) or mean difference (MD) with a 95% confidence interval (CI) to represent the efficacy of each intervention. We compared the consistent and inconsistent models using the deviance information criterion (DIC) [23 (link)]. A difference of the DIC less than 5 implies that the model has good goodness of fit, and there is no global inconsistency. In addition, we assessed the local inconsistency of the model using the node-splitting method [24 (link), 25 (link)]. If the value of P > 0.05, the direct comparison was considered to be in good agreement with the indirect comparison. We also evaluated the heterogeneity between studies using the I-squared statistics (I2) [26 (link), 27 (link)]. The range of I2 values was 0–100%, where 0–49% was low heterogeneity, 50–74% moderate heterogeneity, and 75–100% high heterogeneity. By calculating the surface under the cumulative ranking curve (SUCRA), we compared and ranked the safety and efficacy of various interventions. Higher ranking grades indicated lower perioperative complication rates or better bowel function. Due to the large variation in sample sizes of the included studies, sensitivity analyses on anastomotic leakage were performed to assess the reliability of the results, which included only studies with sample sizes greater than or equal to 20 in a single arm. To assess the publication bias of studies in the network meta-analysis, we used STATA 16.0 (Stata Corporation, College Station, TX, USA) to generate a comparison-adjusted funnel plot and thus explore the impact of publication bias or other small-sample studies [28 (link)]. In the absence of publication bias, the estimates for all comparisons were symmetrically distributed around the null hypothesis.
Publication 2023
Anastomotic Leak Defecation Genetic Heterogeneity Hypersensitivity Safety
Inclusion criteria were as follows: (1) the study participants were adults with rectal cancer who underwent surgical treatment, (2) at least two of the anastomosis techniques (CJP, SCA, TCP, SEA) were included in the study, (3) at least one of the primary outcome indicators (anastomotic leakage and defecation frequency) was included, and (4) the research type was English RCTs. Exclusion criteria were as follows: (1) non-randomized controlled trials, including reviews, retrospective studies, commentaries, and meta-analyses; (2) lack of available data or outcomes; and (3) duplicate publication of content. Two authors (MX and YZ) independently reviewed the entire text in accordance with the inclusion and exclusion criteria, consulted a third author (CWL) in case of disagreement, and decided on the inclusion of eligible studies at a conference.
Publication 2023
Adult Anastomotic Leak Conferences Defecation Operative Surgical Procedures Rectal Cancer Surgical Anastomoses

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More about "Defecation"

Defecation, the physiological process of eliminating solid waste from the body, is a critical component of gastrointestinal health.
This complex mechanism involves muscular contractions, neural signaling, and hormonal regulation to expel feces from the rectum.
Understanding the nuances of bowel movements, including factors like bowel habits, digestive disorders, and the impact of diet and lifestyle, is essential for maintaining a healthy gut and developing effective therapies for conditions such as constipation, diarrhea, and fecal incontinence.
Researchers studying defecation may utilize various tools and techniques to optimize their research.
The QIAamp DNA Stool Mini Kit and the MoBio PowerSoil DNA Isolation Kit are commonly used for extracting high-quality DNA from stool samples, while the RNAlater solution helps preserve RNA for downstream analysis.
The MiSeq platform, a next-generation sequencing system, can be employed to analyze the gut microbiome, which plays a crucial role in digestive health.
Statistical analysis software like SAS version 9.4 can be used to process and interpret the data collected from defecation studies.
The Commode Specimen Collection System provides a convenient method for collecting stool samples, and the FITC-dextran assay can be used to assess intestinal permeability, a factor that may contribute to certain digestive disorders.
The PowerSoil DNA Isolation Kit and the QIAamp Fast DNA Stool Mini Kit are additional tools that researchers can utilize to extract high-quality DNA from stool samples, enabling them to study the gut microbiome and its relationship with defecation.
The Prism 8 software is a powerful tool for visualizing and analyzing data related to bowel function and digestive health.
By leveraging these tools and techniques, researchers can optimize their defecation studies and gain valuable insights into the complex mechanisms underlying this critical physiological process.
Ultimately, this knowledge can lead to the development of more effective therapies and interventions for improving gastrointestinal health and promoting overall wellbeing.