 The Indian Council of Medical Research (ICMR)-National Institute for Implementation Research on Non-Communicable Diseases (NIIRNCD), Jodhpur has collaborated with the National Institute for Research in Tuberculosis (NIRT), Chennai to sensitise healthcare professionals on diagnostic test accuracy.
Diagnostic test accuracy plays a vital role in guideline formulation, regulatory approvals, and technology assessments.
As part of the training programmes, ICMR-NIIRNCD, Jodhpur in collaboration with NIRT, Chennai will be conducting three days onsite workshop between January 28 and 30, 2026 on Systematic Review and Assessment of Diagnostic Test Yield Accuracy (SATYA).
Technical Resource Centre (TRC) at the All India Institute of Medical Sciences (AIIMS) Jodhpur is the organiser of the workshop. AIIMS Jodhpur hosts a TRC that conducts training, workshops, and research related to evidence synthesis.
Thirty participants will be selected based on merit and relevance of their application. Priority will be given to those actively involved in research or evidence-based practice.
The workshop is funded by the Department of Health Research (DHR) under ICMR.
NIRT is a leading institution for TB research under the ICMR and is a WHO Collaborating Centre for TB research and training.
Most diagnostic accuracy studies vary in quality and methodology. Thus, participants will learn how to critically appraise DTA studies, assess bias using QUADAS-2, and determine whether the reported accuracy is truly reliable and clinically meaningful.
The workshop will cover designing and conducting robust DTA studies. Once critical appraisal is learnt, one can focus on designing high-quality DTA studies, learn to select appropriate reference standards, handle indeterminate results, and apply correct statistical methods.
Besides this, it will cover interpreting results and clinical implications. The application of DTA results goes beyond sensitivity and specificity. This module emphasizes understanding predictive values, post-test probabilities, and how to interpret diagnostic results.
It will also cover topics like efficient screening of the literature for relevant studies, and documenting the process, data extraction: from reporting study characteristics to cleaning data for quantitative synthesis, deriving and visualising summary estimates for different types of outcomes, assessing the heterogeneity between different studies, and interpreting this correctly and use of artificial intelligence in evidence synthesis.
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