National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

HARDBACK
price:$59.95
add to cart

Rights & Permissions

topleft topright

Dietary Supplements: A Framework for Evaluating Safety (2005)
Institute of Medicine (IOM)

Citation Manager

. "4 Categories of Scientific Evidence--Human Information and Data." Dietary Supplements: A Framework for Evaluating Safety. Washington, DC: The National Academies Press, 2005.

Please select a format:

BibTeX EndNote RefMan


Page
148
bottomleft bottomright

The following HTML text is provided to enhance online readability. Many aspects of typography translate only awkwardly to HTML. Please use the page image as the authoritative form to ensure accuracy.


Dietary Supplements: A Framework for Evaluating Safety

exposed and unexposed individuals. From this information, the risk of the event occurring in the exposed group relative to the risk for the unexposed group (the relative risk) can be estimated. Unlike well-conducted RCTs, results from cohort studies can be influenced by selection bias and confounding—if they exist. Selection bias occurs when there are unmeasured factors that are related to the outcome of safety and also affect selection for use or non-use of a supplement. Confounding can occur when use of a dietary supplement is strongly correlated to other characteristics of individuals that also affect the safety outcome. These two potential study design problems should be considered when adjusting the level of concern warranted by cohort studies.

Primarily due to their relative expense, greater need for dedicated personnel, and inability to detect rare, serious adverse events, cohort studies are likely to be used less frequently than case-control studies in a postmarketing environment. Expense of cohort studies decreases when computerized medical records can be used, and thus as more records include information about intake of dietary supplement ingredients, the availability of cohort studies for dietary supplements is likely to increase. Nonetheless, for identified rare, serious adverse events, case-control studies may be more common.

Case-Control Epidemiological Studies

Case-control epidemiological studies are uniquely useful at estimating the likelihood that an ingested substance causes an adverse event when the occurrence of the event is rare or occurs following a long latency period. In a case-control study, cases (persons with the event of interest) and controls (persons who do not have the event of interest) are identified. The exposure rates among cases and among controls are then estimated.7 Using the estimated exposure (dose is rarely known) in the controls and in the cases, the odds of the event in the exposed group relative to that in the unexposed group (the odds ratio) is estimated. (The odds of an event are equal to the probability of the event divided by one minus this probability).

Case-control studies require information on fewer individuals than cohort studies (see next section). However, in case-control studies there is the potential for bias caused by inappropriate selection of the control group or

7  

When used in epidemiology, the word “exposure” often has a different meaning than in the field of toxicology. It is unusual for an epidemiological study to state exposure in the quantitative terms of dose. Rather, there may be some evidence, direct or indirect, that exposure to an agent of concern occurred without regard to consideration of the actual ingested dose. In toxicology studies, dosages are explicitly stated.

Page
148
Front Matter (R1-R20)
Executive Summary (1-18)
1 Introduction and Background (19-42)
2 Approaches Used by Others and Existing Safety Frameworks (43-84)
3 The Framework (85-125)
4 Categories of Scientific Evidence--Human Information and Data (126-155)
5 Categories of Scientific Evidence--Animal Data (156-174)
6 Categories of Scientific Evidence--Information About Related Substances (175-216)
7 Categories of Scientific Evidence--In Vitro Data (217-234)
8 Interactions (235-246)
9 Vulnerable Groups and Prevalance of Use (247-252)
10 Scientific Principles for Integrating and Evaluating the Available Data (253-268)
11 Applying the Framework: Case Studies Using the Prototype Safety Monographs (269-291)
12 Factors Influencing Use of the Safety Framework (292-296)
13 Findings and Recommendations (297-306)
Appendix A: Existing Frameworks or Systems for Evaluating the Safety of Other Substances (307-315)
Appendix B: Scope of Work and Comments to Initial July 2002 Framework (316-321)
Appendix C: Plant Family Information (322-355)
Appendix D: Chaparral: Prototype Monograph Summary (356-362)
Appendix E: Glucosamine: Prototype Monograph Summary (363-366)
Appendix F: Melatonin: Prototype Monograph Summary (367-371)
Appendix G: Chromium Picolinate: Prototype Monograph Summary (372-375)
Appendix H: Saw Palmetto: Prototype Monograph Summary (376-379)
Appendix I: Shark Cartilage: Prototype Monograph Summary (380-384)
Appendix J: Prototype Focused Monograph: Review of Liver-Related Risks for Chaparral (385-449)
Appendix K: Protoype Focused Monograph: Review of Anti-Androgenic Risks of Saw Palmetto Ingestion by Women (450-477)
Appendix L: Acknowledgements (478-480)
Appendix M: Biographical Sketches of Commitee Members (481-488)
Index (489-506)