Malignant transformation of tailgut cysts is significantly higher than previously reported: systematic review of cases in the literature

AIM

The best treatment for tailgut cysts has not been firmly established. We report a systematic review of the cases in the available literature in order to provide an evidence base for treatment.

METHOD

A systematic search of articles wholly or partly in English was made of PubMed, Embase and Google Scholar; additional studies were discovered by searching reference lists and contacting authors directly. Search terms 'tailgut cyst', 'tail gut cyst', 'retrorectal hamartoma' and 'retrorectal tumour' were used for case reports or case series; no publication date restrictions were imposed. Only studies with histological confirmation of diagnosis and reporting the age and gender of patients were included. Papers were excluded by consensus between the first two authors.

RESULTS

A total of 196 individual cases were analysed in detail including 51 cases of neoplasia. The overall rate of neoplastic transformation was 26.6%. Although the male:female cyst incidence ratio was 1:4, men over 18 had a significantly greater relative risk of neoplasm at 1.94 (P = 0.0055). Radiological evidence of nodular thickening of the cyst wall significantly increased the relative risk of the presence of cancer (P = 0.0023).

CONCLUSIONS

Current orthodoxy that these are not dangerous embryological remnants is unfounded and may be false. The available data suggest the risk of malignant transformation is high and will apply to any residual tissue after excision. The same rationale behind total mesorectal excision in rectal cancer applies to tailgut cysts. Consequently they should be resected with similar oncological margins.

Follow-up after emergency laparotomy suggests high one- and five-year mortality with risk stratified by ASA

INTRODUCTION

We investigated all-cause mortality following emergency laparotomy at 1 and 5 years. We aimed to establish a basis from which to advise patients and relatives on long-term mortality.

METHODS

Local data from a historical audit of emergency laparotomies from 2010 to 2012 were combined with National Emergency Laparotomy Audit (NELA) data from 2017 to 2020. Covariates collected included deprivation status, preoperative blood work, baseline renal function, age, American Society of Anesthesiologists (ASA) grade, operative time, anaesthetic time and gender. Associations between covariates and survival were determined using multivariate logistic regression and Kaplan-Meier analysis. We used patients undergoing laparoscopic cholecystectomy between 2015 and 2020 as controls.

RESULTS

ASA grade was the best discriminator of long-term outcome following laparotomy (n=894) but was not a predictor of survival following cholecystectomy (n=1,834), with mortality being significantly greater in the laparotomy group. Following cholecystectomy, 95% confidence intervals for survival at 5 years were 98-99%. Following laparotomy these intervals were: ASA grade 1, 79-96%; ASA grade 2, 69-82%; ASA grade 3, 44-58%; ASA grade 4, 33-48%; and ASA grade 5, 4-51%. The majority of deaths occurred after 30 days.

CONCLUSIONS

Emergency laparotomy is associated with a significantly increased risk of death in the following 5 years. The risk is strongly correlated to ASA grade. Thirty-day mortality estimation is not a good basis on which to advise patients and carers on long-term outcomes. ASA grade can be used to predict long-term outcomes and to guide patient counsel.

Toward the creation of an ontology for the coupling of atmospheric electricity with biological systems

Atmospheric electric fields (AEFs) are produced by both natural processes and electrical infrastructure and are increasingly recognized to influence and interfere with various organisms and biological processes, including human well-being. Atmospheric electric fields, in particular electromagnetic fields (EMFs), currently attract a lot of scientific attention due to emerging technologies such as 5G and satellite internet. However, a broader retrospective analysis of available data for both natural and artificial AEFs and EMFs is hampered due to a lack of a semantic approach, preventing data sharing and advancing our understanding of its intrinsic links. Therefore, here we create an ontology (ENET_Ont) for existing (big) data on AEFs within the context of biological systems that is derived from different disciplines that are distributed over many databases. Establishing an environment for data sharing provided by the proposed ontology approach will increase the value of existing data and facilitate reusability for other communities, especially those focusing on public health, ecology, environmental health, biology, climatology as well as bioinformatics.