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Ayer — Octubre 2nd 2025Tus fuentes RSS

ColoCap: determining the diagnostic accuracy of colon capsule endoscopy compared with standard colonoscopy in patients at risk of colorectal disease - a study protocol

Por: Ibrahim · H. · Haritakis · M. · Ballantine · L. · McCormack · K. · Cotton · S. · Hudson · J. · Atkin · K. · Rogers · S. · Nixon · L. S. · Verghese · A. · Holmes · H. · Treweek · S. · MacLennan · G. · Dolwani · S. · Gardner · G. · Hurt · C. · Watson · A. · Turvill · J.
Background

Lower gastrointestinal symptoms attributed to colorectal disease are common. Early diagnosis of serious colorectal disease such as colorectal cancer (CRC), precancerous growths (polyps) and inflammation is important to ensure the best possible outcomes for a patient. The current ‘gold standard’ diagnostic test is colonoscopy. Colonoscopy is an invasive procedure. Some people struggle to cope with it and require intravenous sedation and/or analgesia. It is also resource-intensive, needing to be performed in specialist endoscopy units by a trained team. Across the UK, the demand for colonoscopy is outstripping capacity and the diagnosis of colorectal disease is being delayed. A colon capsule endoscope (CCE) is an alternative colorectal diagnostic. It is a ‘camera in a pill’ that can be swallowed and which passes through the gastrointestinal tract, obtaining visual images on the colon. There is now established experience of CCE in the UK. CCE might provide a less invasive method to diagnose colorectal disease if found to be accurate and effective and provide a means by which to increase the National Health Service (NHS) diagnostic capacity.

Aims and objectives

The aim of this study is to determine the diagnostic accuracy of CCE when compared with colonoscopy in representative and clinically meaningful cohorts of patients. An evaluation of the experiences of CCE for the patient and clinical team and an assessment of cost effectiveness will be undertaken.

Methods

We will undertake three research workstreams (WS). In WS1, we shall perform a paired (back-to-back) study. Each participant will swallow the CCE and then later on the same day they will have a colonoscopy. The study has been designed in collaboration with our Patient Advisory Group and as closely mirrors standard care as is possible. 973 participants will be recruited from three representative clinical contexts; suspected CRC, suspected inflammatory bowel disease and postpolypectomy surveillance. Up to 30 sites across the UK will be involved to maximise inclusivity. Measures of diagnostic accuracy will be reported along with CCE completion rates, number of colonoscopy procedures potentially prevented and adverse events, such as capsule retention. A nested substudy of intraobserver and interobserver agreement will be performed. WS2 will develop models of cost-effectiveness and WS3 will evaluate the patient and clinician experience, with reference to acceptability and choice.

Anticipated impact

The study findings will provide the evidence base to inform future colorectal diagnostic services.

Ethics and dissemination

The study has approval from the North East—Tyne and Wear South research ethics committee (REC reference 24/NE/0178, IRAS 331349). The findings will be disseminated to the NHS, National Institute for Health and Care Excellence, other clinical stakeholders and participants, patients and the public.

Trial registration number

ISRCTN16126290.

AnteayerTus fuentes RSS

Evaluating the diagnostic accuracy of WHO-recommended treatment decision algorithms for childhood tuberculosis using an individual person dataset: a study protocol

Por: Olbrich · L. · Larsson · L. · Dodd · P. · Palmer · M. · Nguyen · M. H. T. N. · dElbee · M. · Hesseling · A. C. · Heinrich · N. · Zar · H. J. · Ntinginya · N. E. · Khosa · C. · Nliwasa · M. · Verghese · V. · Bonnet · M. · Wobudeya · E. · Nduna · B. · Moh · R. · Mwanga · J. · Mustapha · A. · B
Introduction

In 2022, the WHO conditionally recommended the use of treatment decision algorithms (TDAs) for treatment decision-making in children

Methods and analysis

Within the Decide-TB project (PACT ID: PACTR202407866544155, 23 July 2024), we aim to generate an individual-participant dataset (IPD) from prospective TB diagnostic accuracy cohorts (RaPaed-TB, UMOYA and two cohorts from TB-Speed). Using the IPD, we aim to: (1) assess the diagnostic accuracy of published TDAs using a set of consensus case definitions produced by the National Institute of Health as reference standard (confirmed and unconfirmed vs unlikely TB); (2) evaluate the added value of novel tools (including biomarkers and artificial intelligence-interpreted radiology) in the existing TDAs; (3) generate an artificial population, modelling the target population of children eligible for WHO-endorsed TDAs presenting at primary and secondary healthcare levels and assess the diagnostic accuracy of published TDAs and (4) identify clinical predictors of radiological disease severity in children from the study population of children with presumptive TB.

Ethics and dissemination

This study will externally validate the first data-driven WHO TDAs in a large, well-characterised and diverse paediatric IPD derived from four large paediatric cohorts of children investigated for TB. The study has received ethical clearance for sharing secondary deidentified data from the ethics committees of the parent studies (RaPaed-TB, UMOYA and TB Speed) and as the aims of this study were part of the parent studies’ protocols, a separate approval was not necessary. Study findings will be published in peer-reviewed journals and disseminated at local, regional and international scientific meetings and conferences. This database will serve as a catalyst for the assessment of the inclusion of novel tools and the generation of an artificial population to simulate the impact of novel diagnostic pathways for TB in children at lower levels of healthcare. TDAs have the potential to close the diagnostic gap in childhood TB. Further finetuning of the currently available algorithms will facilitate this and improve access to care.

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