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Evidence map of oesophageal surgery: protocol for a living systematic review and meta-analysis

Por: Benignus · C. · Schiedeck · T. · Avramovska · I. · Evers · L. M. · Giulini · L. · Heger · P. · Diener · M. K. · Hüttner · F. J.
Introduction

Surgery represents the cornerstone for the treatment of several benign and malignant oesophageal disorders. Yet synthesising the growing body of evidence from clinical research is becoming increasingly challenging. Evidence mapping with living systematic reviews (SRs) and living meta-analyses offers a structured, continuously updated approach to navigating emerging data. This study aims to provide a real-time, interactive resource to support evidence-based decision-making for oesophageal surgery.

Methods and analysis

This study follows PRISMA guidelines and uses the EVIglance Studio web application to develop a living evidence map in oesophageal surgery. A systematic literature search will be conducted across the Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science and MEDLINE (PubMed) to identify randomised controlled trials (RCTs) and SRs related to oesophageal surgery, without any date or language restrictions. Study selection and data extraction will be performed independently by two reviewers. Key clinical and surgical outcomes, including morbidity, mortality, quality of life and oncological endpoints, will be extracted. Risk of bias in RCTs will be assessed using the Cochrane Risk of Bias 2.0 tool, and the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) system will be applied to evaluate the certainty of evidence. If at least three randomised trials address the same research question, a living meta-analysis will be conducted using random-effects models. The evidence map will be updated at least every 6 months.

Ethics and dissemination

This study does not involve individual patient data or any private information. Therefore, ethical approval is not required. As it uses only publicly available data, this study design qualifies as exempt from institutional review. The resulting evidence map is designed to support fast and structured access to high-quality surgical data - an approach not yet available in oesophageal surgery. The tool is expected to aid patients, clinicians and researchers alike by improving access to reliable information, supporting clinical decision-making and highlighting gaps in current evidence. On completion, results will be published in an open-access format and made permanently accessible via www.evidencemap.surgery, with continuous updates.

PROSPERO registration number

CRD420251022736 (https://www.crd.york.ac.uk/prospero/)

Heidelberg Perioperative Deep Data Study (HeiPoDD): study protocol for a prospective cohort study for prediction of complications after high-risk non-cardiac surgery in a German university hospital

Por: Jung-König · M. · Hölzer · H. T. · Tenckhoff · S. · Kumar · S. · Etheredge · M. · Schaack · D. · Hölle · T. · Schuster · L. C. · Nusshag · C. · Rath · M. · Uhl · C. · Pianka · F. · Michalski · C. W. · Hohenfellner · M. · Arif · R. · Karck · M. · Böckler · D. · Probst · P. · Diener
Introduction

Perioperative adverse events increase morbidity and mortality. The rate and severity of complications and the risk for subsequent mortality are increased after high-risk procedures and in elevated-risk patients. Over the past decades, a multitude of prognostic studies identified perioperative risk factors at the population level. However, to allow for the advancement of precision surgery strategies, improved risk prediction on the individual patient level is warranted. Comprehensive, consecutive, multisource, structured, high-quality patient-related and procedure-related data sets, together with thorough follow-up and combined with state-of-the-art machine-learning analyses, are needed to facilitate precise prediction of perioperative complications. Therefore, we designed and currently conduct the Heidelberg Perioperative Deep Data study (HeiPoDD). Here, we report the rationale and design of the HeiPoDD study.

Methods and analysis

HeiPoDD is a prospective, single-centre, exploratory cohort study aiming to build up a large-scale deep-data base and corresponding biomaterial collection. 1040 adult patients planned for elective high-risk, non-cardiac surgery for any indication at Heidelberg University Hospital, Germany will be included. The obtained study-specific data set includes clinical data, lab values, genome- and proteome analysis as well as plasma, serum and peripheral blood mononuclear cells (PBMC) collected before and at days 1, 3 and 7 postsurgery. Urine samples are collected before and at day 1 postsurgery. Structured follow-up for perioperative complications such as redo-surgery, length of intensive care stay or length of hospital stay is conducted at days 30, 90 and 1 year postsurgery and for disease progression and survival after 3 and 5 years postsurgery. All study data will be transferred to the HeiPoDD registry to allow merging with all available routine clinical data from the hospital information system including imaging studies as well as haemodynamic and respiratory biosignals. Biomaterials will be stored in the HeiPoDD biomaterial bank to allow further analyses.

Ethics and dissemination

The trial protocol and amendments were approved by the ethics committee of the University of Heidelberg (S-758/2021). The protocol is registered with the German Clinical Trial Register (DRKS00024625). Participating patients’ data will be recorded only in pseudonymised form. After completion of the study, data collected during the study will be kept on file for up to 30 years. Biomedical samples collected during the study and entered into the biobank will be held for the same amount of time. The findings will be disseminated in peer-reviewed academic journals.

Heidelberg Perioperative Deep Data Registry and Biomaterial Bank (HeiPoDD Registry and Bio Bank): study protocol for a prospective single-centre registry and biobank for patients undergoing high-risk non-cardiac surgery in a German university hospital

Por: Hölzer · H. T. · Niklas · C. · Tenckhoff · S. · Feisst · M. · Hölle · T. · Dugas · M. · Zental · N. · Kumar · S. · Schaack · D. · Schuster · L. C. · Etheredge · M. · Dehne · S. · Michalski · C. · Probst · P. · Diener · M. · Weigand · M. A. · Klotz · R. · Larmann · J.
Introduction

Outcome after surgery depends on both patient-related as well as procedure-related risks. Complications after surgery are a significant burden to patients and to the health system. A vast amount of often unstructured data from different sources are generated during surgery, which contain valuable information associated with outcome. Advances in computer hardware and machine learning now increasingly facilitate the development of prediction models in standardised, parametric, information-rich areas such as the perioperative setting. For the development and validation of risk scores and prediction models, high-fidelity data sources are required to arrive at meaningful and reliable predictions. However, data quality standards in retrospective studies are rarely met. Therefore, the prospective Heidelberg Perioperative Deep Data Registry and Biomaterial Bank (HeiPoDD - Registry and Bio Bank) was started to implement a clinical data base and a corresponding biobank merging the entirety of available clinical records.

Methods and analysis

The HeiPoDD - Registry and Bio Bank is a study-driven, prospective, single-centre observational registry data base and biomaterial bank. It contains data and material from eligible patients who give informed consent and undergo elective non-cardiac high-risk surgery at the surgical centre of the Heidelberg University Hospital. The screening for eligibility started in January 2022, with no maximum sample size specified in advance. Routine data are recorded and stored during hospital stay and potential readmissions within 90 days after index surgery. The data are merged with the potentially available genome, proteome, flow cytometry, and bio signal data. Endpoints are obtained from routine observations, stored data in the hospital information system and follow-up visits. Further, data and biological specimens from separate perioperative studies with the patients’ consent can be transferred into the HeiPoDD - Registry and Bio Bank as well. This large-scale data collection will allow the calculation of endpoint-specific prediction models using logistic regression models as well as machine learning models. The first 1040 patients included in the HeiPoDD - Registry and Bio Bank are also included in the HeiPoDD study.

Ethics and dissemination

The trial protocol and subsequent amendments were approved by the ethics committee of the University of Heidelberg (S-745/2021). Participating patients’ data will be entered only in pseudonymised form. Data and biomaterials will be kept for up to 30 years. The findings will be disseminated in peer-reviewed academic journals.

Trial registration number

DRKS00025924, registered on 2021-11-12.

Selective neoadjuvant therapy of rectal cancer patients (SELREC): study protocol for a European randomised controlled, open, multicentre non-inferiority trial

Por: Klotz · R. · Engerer · C. · Tenckhoff · S. · Uzun-Lang · K. · Schwab · C. · Wild · C. · Sander · A. · Baumann · L. · Klose · C. · Kauczor · H.-U. · Schirmacher · P. · Jäger · D. · Debus · J. · Al-Saeedi · M. · Probst · P. · Ulrich · A. · Schneider · M. · Diener · M. K. · Kahlert · C. · Mic
Introduction

Neoadjuvant (chemo)radiotherapy (n(C)RT) followed by resection with total mesorectal excision (TME) constitutes the standard treatment for patients with locally advanced rectal cancer of the middle and lower third. However, n(C)RT has demonstrated no significant impact on overall survival but is associated with adverse effects, including impaired sphincter and sexual function. We hypothesise that omitting n(C)RT in selected patients with a clear circumferential resection margin (CRM) >1 mm as determined through preoperative MRI is not inferior regarding local recurrence rate within 3 years after surgery. That treatment approach may show fewer adverse effects and be more cost-effective.

Methods and analysis

Selective neoadjuvant therapy of rectal cancer patients (SELREC) is a randomised controlled, parallel-group, open, multicentre, non-inferiority trial. The experimental intervention involves performing TME surgery without n(C)RT. In contrast, the control intervention adheres to German S3-guidelines, incorporating neoadjuvant radiotherapy (nRT) with a dosage of 5x5 Gy or a total of 50.4 Gy. Additionally, if applicable, concomitant chemotherapy (CT) based on 5-fluorouracil is administered, followed by TME surgery within less than 12 weeks. Adjuvant treatment according to guidelines is allowed depending on the (y)pTNM stage.

The inclusion criteria for this study encompass adult patients with primary adenocarcinoma of the rectum in whom the main tumour mass is located less than 12 cm away from the anal verge, as assessed via proctoscopy. Additionally, eligible participants are required to have a preoperative tumour stage determined by MRI of either T1 or T2 with lymph node involvement (N1) or T3 with no lymph node involvement (N0) or with lymph node involvement (N1) and no distant metastases (M0). The assessment of a clear CRM >1 mm, based on MRI, is another prerequisite for inclusion. A total of 1074 patients in approximately 35 centres are planned to be allocated to the trial.

The primary endpoint of the trial is local recurrence within 3 years after surgery. The primary estimand is based on the full analysis set using a logistic mixed model (margin 3%). The first secondary endpoint is no/minor low anterior resection syndrome (LARS) score at 2 years after surgery, and further secondary endpoints include survival outcomes and quality of life. Safety analysis involves describing the frequencies of major intervention-specific complications, such as the acute toxicity of n(C)RT according to CTCAE and perioperative morbidity and mortality according to Clavien-Dindo criteria.

SELREC is financially supported by the German Federal Ministry of Education and Research.

Ethics and dissemination

This trial has been prospectively registered in the German Clinical Trials Register.

Previously, the study had been approved by the responsible ethics committee of Heidelberg and the local ethics committees of the collaborating institutions before patient enrolment. Any protocol deviation that has an impact on relevant parameters such as study design, endpoints or patient safety will be reported to the responsible ethics committees.

The results will be published in a peer-reviewed scientific journal and on institutional websites.

Trial registration number

German Clinical Trials Register DRKS00030567.

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