Anterior rectocele and rectoanal intussusception are anatomic disorders related to excessive straining during defecation that usually manifest with symptoms of obstructive defecation. Stapled transanal rectal resection (STARR), a newly described surgical method for correcting these disorders, is considered a good alternative to the traditional transrectal approaches. The aim of the present study was to assess the early postoperative functional results of STARR. A total of 16 patients (13 female) were subjected to the STARR procedure during a period of 12 months. The presence of anatomic disorders of the anorectum was verified by dynamic defecography. Preoperative assessment also included colonic transit time, anal sphincter ultrasonography, and anorectal stationary manometry. Postoperative assessment included the same battery of tests. Altogether, 12 patients had rectoanal intussusception of > 2 cm and rectocele. In eight of them the anterior component of the rectocele was 2 to 4 cm, and in four it was > 4 cm. Four patients had a 1- to 2-cm internal intussusception and a rectocele of < 2 cm. All of them reported evacuation difficulties, but none had significant incontinence. Preoperative endoscopy did not reveal the presence of a solitary ulcer in any of the patients. All females had had normal vaginal deliveries, and four of them were multiparous. No complications were encountered postoperatively, and the need for analgesics was minimal. At defecography, rectoanal anatomy was seen to be restored in all patients. Obstructive defecation symptoms remained rather unaffected in seven, disappeared in three, and improved significantly in the remaining six patients. The seven failures showed anismus at manometry and had biofeedback treatment with satisfactory results in five of them. Failure of the operation and biofeedback sessions to treat symptoms in those two cases was attributed to coexisting enterocele, which had been missed preoperatively. Immediately after surgery, most of the patients complained of urgency and frequent small motions that resolved spontaneously within 3 to 5 weeks in all but two cases. STARR is a safe, well tolerated surgical procedure that effectively restores anatomy and function of the anorectum in patients with anterior mucosal prolapse and rectoanal intussusception. Additional biofeedback treatment is usually necessary for further functional improvement. Failure may be the result of other coexisting anatomic and functional abnormalities of the pelvic floor.

The erythromycin-induced acceleration effect on gastric emptying was related to the plasma glucose level. Hyperglycemia might have chosen a cholinergic antagonist pathway that delayed gastric emptying of solids. Even though induced hyperglycemia inhibited gastric emptying, erythromycin accelerated the gastric emptying rate through two distinct pathways: cholinergic and noncholinergic.

MyPal is a European initiative focusing on the use of the electronic patient reported outcome (ePRO) measures to enhance patient engagement in palliative cancer care via digital self-reporting palliative care for patients with cancer. As a part of its approach, MyPal also focuses on pediatric patients, implementing a specific digital health platform including a serious game to facilitate the reporting of the symptoms and overall status regarding their quality of life (QoL). To this end, the reduction of psychological burden related to frequent reporting, a.k.a. as “reporting fatigue” has been identified as a priority. In this study, we present the MyPal-CHILD platform, emphasizing on the serious game named AquaScouts and its key design decisions, while also emphasizing on the respective challenges. More specifically, we provide insights on the participatory design approach applied during the design of the platform and the high-level goals defined based on end-user input. In addition, the validation process applied before the use of the platform under real-world conditions is also presented. Finally, we discuss a number of challenges and the prospects of deploying eHealth interventions to support palliative care.

BackgroundA plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main drawback of such repositories is the difficulty in locating appropriate resources for a clinical or biomedical decision task, especially for non-Information Technology expert users. In parallel, although NLP research in the clinical domain has been active since the 1960s, progress in the development of NLP applications has been slow and lags behind progress in the general NLP domain.The aim of the present study is to investigate the use of semantics for biomedical resources annotation with domain specific ontologies and exploit Natural Language Processing methods in empowering the non-Information Technology expert users to efficiently search for biomedical resources using natural language.MethodsA Natural Language Processing engine which can “translate” free text into targeted queries, automatically transforming a clinical research question into a request description that contains only terms of ontologies, has been implemented. The implementation is based on information extraction techniques for text in natural language, guided by integrated ontologies. Furthermore, knowledge from robust text mining methods has been incorporated to map descriptions into suitable domain ontologies in order to ensure that the biomedical resources descriptions are domain oriented and enhance the accuracy of services discovery. The framework is freely available as a web application at (http://calchas.ics.forth.gr/).ResultsFor our experiments, a range of clinical questions were established based on descriptions of clinical trials from the ClinicalTrials.gov registry as well as recommendations from clinicians. Domain experts manually identified the available tools in a tools repository which are suitable for addressing the clinical questions at hand, either individually or as a set of tools forming a computational pipeline. The results were compared with those obtained from an automated discovery of candidate biomedical tools. For the evaluation of the results, precision and recall measurements were used. Our results indicate that the proposed framework has a high precision and low recall, implying that the system returns essentially more relevant results than irrelevant.ConclusionsThere are adequate biomedical ontologies already available, sufficiency of existing NLP tools and quality of biomedical annotation systems for the implementation of a biomedical resources discovery framework, based on the semantic annotation of resources and the use on NLP techniques. The results of the present study demonstrate the clinical utility of the application of the proposed framework which aims to bridge the gap between clinical question in natural language and efficient dynamic biomedical resources discovery.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-015-0200-4) ...