Related Experiment Video
Updated: Jun 24, 2025

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
Published on: April 28, 2016
Does citing early SIDS research skew contemporary conclusions?
1School of Biomedicine, The University of Adelaide, Level 2, Room N237, Helen Mayo North, Frome Road, Adelaide, SA, 5005, Australia. roger.byard@sa.gov.au.
Abstract:
Research on infants who have allegedly succumbed to sudden infant death syndrome (SIDS) has been of variable quality over the years. Even now peer-reviewed papers are being published on cases termed 'SIDS' without autopsies having been performed, despite this being a requirement of the three major definitions for over five decades. Clearly cases used in earlier research studies could not have complied with the requirements of as-yet unpublished definitions/guidelines. For this reason care must be taken in citing initial papers as their results may have been skewed by the presence of non-SIDS cases. This may have particular relevance for meta analyses. Reviewing the literature on substance P and its relationship to SIDS provides an excellent example of how diametrically opposed conclusions were reached at different time points. Early studies on SIDS, and studies that use cases that were classified before the standard NICHD and San Diego definitions, should, therefore, be approached with a degree of scepticism and not cited in contemporary papers or at meetings as they have the potential to confuse rather than clarify.
More Related Videos
10:55A Piglet Perinatal Asphyxia Model to Study Cardiac Injury and Hemodynamics after Cardiac Arrest, Resuscitation, and the Return of Spontaneous Circulation
Published on: January 13, 2023
14:43A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Related Concept Videos
Criteria for Causality: Bradford Hill Criteria - II
Longitudinal Research
Criteria for Causality: Bradford Hill Criteria - I
Case Studies
Causality in Epidemiology
Bias in Epidemiological Studies