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Proctitis

Proctitis is a medical condition characterized by inflammation of the rectum, the last section of the large intestine.
It can be caused by various factors, such as infection, inflammatory bowel disease, or radiation therapy.
Symptoms may include rectal pain, bleeding, diarrhea, and urgency to have a bowel movement.
Proper diagnosis and treatment are important to manage the condition and prevent complications.
PubCompare.ai can help optimize proctitis research by locating relevant protocols from literature, preprints, and patents, and utilizing AI-driven comparisons to identify the best protocols and products.
This can enhance reproducibility and accuracy in proctits studies.

Most cited protocols related to «Proctitis»

RNA was isolated from rectal biopsies obtained during diagnostic colonoscopy using the Qiagen AllPrep RNA/DNA Mini Kit. PolyA-RNA selection, fragmentation, cDNA synthesis, adaptor ligation, TruSeq RNA sample library preparation (Illumina, San Diego, CA), and paired-end 75 bp sequencing was performed9 (link). An additional validation of the baseline rectal gene expression at diagnosis utilized the independent RISK cohort of treatment-naïve pediatric patients (55 non-IBD controls, 43 UC patients, and 92 CD patients with rectal inflammation) and single-end 75 bp mRNA sequencing9 (link). Reads were quantified by kallisto51 (link), using Gencode v24 as the reference genome and transcripts per million (TPM) as an output. We included 14,085 protein-coding mRNA genes with TPM above 1 in 20% of the samples in our downstream analysis. Only samples for which the gene expression (Y encoded genes and XIST)-determined gender matched the clinical-reported gender were included in the analyses (we excluded only one sample with unmatched gender). Four other PROTECT samples were excluded due to poor read quality. A total of 226 RNAseq samples with mean read depth of ~47 M (14 M std. deviation) were stratified into specific clinical subgroups including Ctl (n = 20), and UC (n = 206), and were substratified based on disease severity, and on histologic findings. Differentially expressed genes were determined in GeneSpring® software with fold change differences (FC) ≥ 1.5 and using the Benjamini–Hochberg false discovery rate correction (FDR, 0.001) for all analyses except for the corticosteroid response genes that was calculated out of the 712 severity genes with FDR < 0.05. Unsupervised hierarchical clustering using Euclidean distance metric and Ward’s linkage rule was used to test for groups of rectal biopsies with similar patterns of gene expression. ToppGene6 (link) and ToppCluster7 (link) software were used to test for functional annotation enrichment analyses of immune cell types, pathways, phenotype, immune cell-type enrichments, and biologic functions. Visualization of the network was obtained using Cytoscape.v3.0.252 (link).
For validation of the association between baseline gene expression and outcome, we also generated independent Lexogen QuantSeq 3′ mRNAseq libraries19 (link) and single-end 100 bp sequencing for 134 participants who also had Illumina mRNAseq data (the Discovery Cohort) and for 50 participants who did not have Illumina mRNAseq data (the independent Validation cohort, Table 1). PCA was performed to summarize variation in gene expression between patients, and principal components (PC) values were extracted for downstream analyses. We considered several central gene expression pathways PC1 preidentified by the previous differential expression analyses and functional annotation enrichment analyses of the core 5296 UC genes, the 712 severity genes, and the 115 corticosteroid response gene signature for the model building and associations with the microbial composition as described below. PROTECT (GSE109142) and RISK (GSE117993) rectal mRNAseq data sets were deposited into GEO.
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Publication 2019
Adrenal Cortex Hormones Anabolism Biopharmaceuticals Biopsy BP 100 Cells Colonoscopy Diagnosis DNA, Complementary DNA Library Gender Gene Annotation Gene Expression Gene Products, Protein Genes Genetic Diversity Genome Ligation Multiple Birth Offspring Patients Phenotype Proctitis Rectum RNA, Messenger RNA, Polyadenylated
We recruited adult patients, age > 18 years, with CD, UC, or
indeterminate colitis in a prospective patient cohort, the prospective registry
of IBD study at Massachusetts General Hospital (PRISM). All patients were
interviewed by a study coordinator and provided detailed information regarding
their disease which was verified by their treating physician. Disease location
was classified according to the Montreal classification in CD as involving the
ileum alone, colon alone, or ileocolonic with a modifier for upper
gastrointestinal tract involvement and perianal disease. Disease behavior was
stratified as inflammatory, stricturing, or penetrating disease. Disease extent
in UC was according to the Montreal classification; patients with proctitis and
left-sided colitis were collapsed into one stratum. Smoking status was
classified as current, never, or former smoker at enrollment into the study. We
also obtained information on medication use including use of immunomodulators
(azathioprine, 6-mercaptopurine, and methotrexate) and anti-TNF agents
(infliximab, adalimumab, certolizumab pegol). Disease phenotype and medication
use was updated till August 2012. All patients provided informed consent and the
study was approved by the Institutional Review Board of Partners Healthcare.
Publication 2014
Adalimumab Adult Anti-Anxiety Agents Azathioprine Behavior Disorders Certolizumab Pegol Colitis Colon Ethics Committees, Research Immunologic Adjuvants Inflammation Infliximab Mercaptopurine Methotrexate Patients Pharmaceutical Preparations Phenotype Physicians Proctitis

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Publication 2017
Abdominal Pain Biopsy Campylobacter Cecum Child Clostridium difficile Colitis Colon Colonoscopy Crohn Disease Diagnosis Diarrhea Eligibility Determination Endoscopy Enterobacteriaceae Escherichia coli Esophagogastroduodenoscopy Feces Gastritis Gastrointestinal Diseases Granuloma Ileum Inclusion Bodies Inflammation Microscopy North American People pathogenesis Patients Pediatric ulcerative colitis Pharmaceutical Preparations Proctitis Rectal Diseases Rectum Salmonella Shigella Therapeutics Toxins, Biological Ulcer Ulcerative Colitis

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Publication 2017
Abdominal Pain Biopsy Campylobacter Cecum Child Clostridium difficile Colitis Colon Colonoscopy Crohn Disease Diagnosis Diarrhea Eligibility Determination Endoscopy Enterobacteriaceae Escherichia coli Esophagogastroduodenoscopy Feces Gastritis Gastrointestinal Diseases Granuloma Ileum Inclusion Bodies Inflammation Microscopy North American People pathogenesis Patients Pediatric ulcerative colitis Pharmaceutical Preparations Proctitis Rectal Diseases Rectum Salmonella Shigella Therapeutics Toxins, Biological Ulcer Ulcerative Colitis
Cumulative dose-volume histograms (DVHs) have been first evaluated for the two arms, independently. Then, to compare the two different treatment schemes, DVHs for both arms have been corrected converting the physical dose in the i-th volume fraction to the biologically equivalent total dose normalized to the standard fraction of 2 Gy (NTD2), as described in appendix 1 (A.5).
The Lyman-Burman-Kutcher (LKB) model was used to predict the NTCP for late rectal toxicity. The ≥ G2 late rectal toxicity was assumed as primary end point in the NTCP calculations. The original model parameters are n, m and TD50 and they determine the volume dependence of NTCP, the slope of NTCP vs. dose and the tolerance dose to the whole organ leading to a 50% complication probability, respectively (appendix 1). The α/β parameter was then introduced in the model by the NTD2 to take into account for altered fractionaction schemes, as illustrated also by other authors [14 (link),15 ].
At first, the values n = 0.12, m = 0.15 estimated by Burman et al. [10 ] and the value TD50 = 80 Gy evaluated by Emami et al. [16 ] were involved in the calculation of the NTCP distributions for conventional and hypofractionated arms.
To minimize the deviation between the clinical and the predicted complication incidences, the best parameters estimation of the model was performed by the maximum likelihood method [17 (link)]. For binomially distributed data such as the NTCP data, the log-likelihood for the entire data set is given by:

where N is the total number of patients, Ri is equal to 1 for patients who did experience ≥ G2 late rectal toxicity or 0 for patients who did not.
The optimization of all the four model parameters was initially run but, because of the large resulting 95% confidence intervals (CI) due to the limited number of patients experiencing ≥ G2 late toxicity, the results were not reported. Consequently, it was decided to reduce the number of degrees of freedom by keeping fix the n and m parameters at the original values proposed by Burman et al. [10 ]. This choice was motivated by the fact that these values, even if obtained assuming as end point severe proctitis, necrosis, stenosis or fistula, resulted hardly different from those reported in more recent studies of late rectal toxicity modeling [18 (link),19 (link)], in which similar end points to that considered in the present work were assumed. Moreover, this choice is in accordance with our belief that rectal bleeding is most strongly influenced by high dose levels (low n value) [20 (link)].
The 95% CI of the estimated TD50 and α/β parameters were established by the profile likelihood method as described by other authors [21 (link)]. All the calculations were performed by using the Matlab code (Release 6.5, The Mathworks Inc., Natick, Massachusetts).
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Publication 2009
Arm, Upper Fistula Immune Tolerance Necrosis Patients Physical Examination Proctitis Rectum Stenosis

Most recents protocols related to «Proctitis»

Clinical outcomes were collected for all patients who provided a viable sample, by requesting copies of examination reports from participating sites every month. All diagnoses were determined by reviewing endoscopy, radiology, and histology reports, clinic letters, and urgent referral forms provided by the participating sites. Patient and clinical data included symptoms, reasons for the referral, medical history, and sociodemographic factors. All diagnoses were verified by medical members of the central research team.
All neoplastic bowel polyps, either adenomatous polyps or sessile serrated polyps, were identified and were given a risk of either ‘low’, ‘intermediate’, or ‘high’ depending on their size and frequency; contemporary UK and European guidelines were used in this study23 ,24 (link), with low risk defined as 1–2 adenomas less than 10 mm, intermediate risk as 3–4 small adenomas less than 10 mm or one adenoma 10 mm or more, and high risk as five or more adenomas less than 10 mm or three or more adenomas with at least one 10 mm or more.
Non-neoplastic polyps, such as hyperplastic, inflammatory, or pseudopolyps, were classified separately. Patients with a risk score for their polyps at first, second, or third examinations had their cumulative number and/or highest risk polyp taken as their final score. Remaining bowel pathology was classified as one of CRC, inflammatory bowel disease (colitis/proctitis), diverticulosis, haemorrhoids, normal examination, or procedure stopped/incomplete. Patients with concurrent polyps and CRC were classified as CRC and not included in the analysis, as our target group for this study was those without CRC in whom we could potentially identify polyps and plan for removal before they could progress to CRC.
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Publication 2023
Adenoma Adenomatous Polyps Colitis Diagnosis Diverticulosis Endoscopy, Gastrointestinal Europeans Hemorrhoids Hyperplasia Inflammation Inflammatory Bowel Diseases Intestinal Polyps Intestines Neoplasms Patients Physical Examination Polyps Proctitis X-Rays, Diagnostic
A variety of nCRT-related adverse reactions were evaluated, including bone marrow suppression, radioactive proctitis, intestinal obstruction or perforation, narrow lumen, anastomotic fistula, perianal skin injury, emesis, and hand-foot syndrome. Hand-foot syndrome was mainly associated with capecitabine treatment. During concurrent chemoradiotherapy, blood routine examinations and biochemical examinations were conducted weekly. RTOG radiation injury classification and Common Terminology Criteria for Adverse Events (CTCAE, Version 5) were adopted to assess adverse events. Grades 1 and 2 myelosuppression were considered mild, while grades 3 and 4 were considered moderate to severe. Similarly, grades 1 and 2 were defined as mild radiation proctitis, and grades 3 and 4 were defined as moderate to severe radiation proctitis. The remaining adverse reactions including intestinal obstruction or perforation, narrow lumen, anastomotic fistula, perianal skin injury, emesis, and hand-foot syndrome were evaluated by their occurrence or not.
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Publication 2023
BLOOD Bone Marrow Capecitabine Concurrent Chemoradiotherapy Fistula Hand-Foot Syndrome Injuries Intestinal Obstruction Physical Examination Proctitis Radiation Injury Radioactivity Radiotherapy Skin Surgical Anastomoses Vomiting

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Publication 2023
3-(2-methoxyphenyl)-5-methoxy-1,3,4-oxadiazol-2(3H)-one Analgesics, Opioid Antibiotics Anus Bacteria BLOOD Edema Ethics Committees Ethics Committees, Research Hospitalization isolation Paraphimosis Patients Penis Pharynx Physicians Polymerase Chain Reaction Proctitis Saliva Sexually Transmitted Diseases Sexually Transmitted Diseases, Bacterial Skin Specimen Collection Superinfection Urethra Urine
IBD diagnosis was made by an expert gastroenterologist by synthesizing various findings, such as conventional clinical, endoscopic, radiologic, and histopathologic results. CD was defined as disease location (L1, ileal; L2, colonic; L3, ileocolonic; L4, and upper gastrointestinal tract) and disease behavior (B1, nonstricturing, nonpenetrating; B2, stricturing; B3, and penetrating) according to the Montreal classification. UC is classified into proctitis (E1), left-sided colitis (E2), and extended colitis, including pancolitis (E3), and according to the degree of disease extent.[13 ]EIMs were diagnosed and treated by a specialist according to their subtypes. Depending on the organ involved, EIMs were defined as articular (peripheral arthritis, ankylosing spondylitis, and sacroiliitis), cutaneous (erythema nodosum, pyoderma gangrenosum, and others), ocular (uveitis and episcleritis), or hepatobiliary (primary sclerosing cholangitis). Patients with 2 or more EIMs were classified according to the number of EIMs.
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Publication 2023
Ankylosing Spondylitis Arthritis Colitis Colon Endoscopy Episcleritis Erythema Nodosum Eye Gastroenterologist Ileum Joints Patients Primary Sclerosing Cholangitis Proctitis Pyoderma Gangrenosum Sacroiliitis Skin Upper Gastrointestinal Tract Uveitis
Standardized difference was used to examine the balance of a covariate between the exposed and unexposed groups, and imbalance was defined as a standardized difference value greater than 0.2 [39 ]. We explored the risk of overall IBD, UC, and CD in individuals with a normal lower GI mucosa and risk of CD in those with a normal upper GI mucosa. Follow-up (i.e., date of cohort entry) was started 6 months after the index date to decrease potential detection bias (e.g., work up for GI biopsy increases the chance of diagnosing the other), surveillance bias (e.g., regular check-ups after a GI biopsy increase chance of early detection of IBD), and reverse causation. To estimate the average and temporal pattern of hazard ratio (HR), with 95% confidence interval (CI), comparing the exposed individuals to the matched population references and unexposed full siblings, flexible parametric survival model using the stpm2 command in Stata was applied to allow normal mucosa to vary over time (a time-varying effect) [40 (link)]. Standardized cumulative incidence of IBD was also estimated using such approach [41 (link)]. Time since date of cohort entry was used as the underlying time scale.
As the HR as well as cumulative incidence and its difference might vary with follow-up time, we presented these estimates at 6 months, 1 year, 5 years, 10 years, 20 years, and 30 years after cohort entry for each outcome. In the population-matched cohort, we conditioned the analyses on the matching variables (birth year, sex, county of residence, and calendar period) and additionally adjusted for country of birth, educational attainment, number of healthcare visits, Charlson comorbidity index, and history of GI disease. In the sibling cohort, we performed similar analyses and conditioned on family identifier as well as adjusted for birth year, sex, county of residence (collected before index date), calendar period, and the aforementioned covariables.
For normal lower GI mucosa, the risk among disease phenotypes, including CD location and UC extent, were also explored. Data on CD location and UC extent was collected at the date of IBD diagnosis and classified according to the Montreal classification [34 (link)]. CD location includes ileal (L1)/ileocolonic (L3)/unknown (LX) or colonic (L2). UC extent includes proctitis (E1)/left-sided colitis (E2), extensive colitis (E3), or extent not defined (EX) (see Table C in S1 Appendix for ICD codes).
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Publication 2023
Biopsy Childbirth Colitis Colon Diagnosis Early Diagnosis Gastrointestinal Diseases Ileum Mucous Membrane Phenotype Proctitis

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More about "Proctitis"

Proctitis is a medical condition characterized by inflammation of the rectum, the final section of the large intestine.
It can be caused by a variety of factors, such as infection, inflammatory bowel diseases like ulcerative colitis or Crohn's disease, or radiation therapy.
Individuals with proctitis may experience symptoms like rectal pain, bleeding, diarrhea, and a strong urge to have a bowel movement.
Accurate diagnosis and proper treatment are crucial for managing proctitis and preventing complications.
PubCompare.ai can help optimize proctitis research by locating relevant protocols from the literature, preprints, and patents, and utilizing AI-driven comparisons to identify the best protocols and products.
This can enhance the reproducibility and accuracy of proctits studies.
Proctocolitis, proctalgia, and rectal inflammation are some synonymous terms for proctitis.
Researchers can utilize statistical software like JMP 14, SPSS version 20.0, SAS 9.4, and Mathematica 9 to analyze data and optimize their proctitis studies.
Diagnostic tools like the Genetic System HIV-1/2 plus O EIA, Logic E9, and Uni-Gold™ Recombigen® HIV can also be leveraged to support proctitis research.
Additionally, the RealTime HCV assay can be used to detect and monitor hepatitis C virus, which can be a contributing factor in some cases of proctitis.
By incorporating these resources, researchers can enhance the rigor and effectiveness of their proctitis investigations.