Skip to main content
Log in

The geriatric minimum data set for clinical trials (GMDS)

  • Published:
The Journal of Nutrition Health and Aging

Abstract

Background: To overcome the weak evidence base coming from often poor and insufficient clinical research in older people, a minimum data set to achieve harmonisation is highly advisable. This will lead to uniform nomenclature and to the standardisation of the assessment tools. Our primary objective was to develop a Geriatric Minimum Data Set (GMDS) for clinical research.Methods: Investigators from 33 leading Research Centres in Europe (selected based on pre-defined criteria), agreed to establish GerontoNet, a network for research collaboration. Following a systematic review of literature performed before the meeting, the expert panel identified 79 functional, cognitive, nutritional and social statements.Results: Of the initial 79 statements, 49 were found appropriate for a GMDS. After an additional stage of evaluation, a 25-item data set was proposed as the minimum set of information to be included in any future clinical trial involving older people. The GMDS covers 7 domains: general information including data on clinical diagnosis and medication use (5 items), functional performance (5 items), cognitive and emotional status (4 items), cardiovascular risk profile (3 items), nutritional status (3 items), biochemical parameters (1 set and 1 item), and social status (3 items).Conclusion: The proposed GMDS provides an enhanced opportunity for research in elderly populations with appropriate outcome measures, and would greatly facilitate meta-analysis of relevant clinical trials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Abellan van Kan G, Andrieu S, Vellas B. GerontoNet: a Network of excellence for clinical trials with geriatric patients. J Nutr Health Aging 2007;11(3): 251–253

    Google Scholar 

  2. Keime-Guibert F, Abellan van Kan G, Nourhashemi F, Tsouderos Y, Merdes A, Vellas B. Rational for a minimum data set for clinical trials with geriatric patients. J Nutr Health Aging 2007;11(3): 273–277

    PubMed  CAS  Google Scholar 

  3. Le Quintrec JL, Bussy C, Golmard JL, Herve C, Baulon A, Piette F. Randomized controlled drag trials on very elderly subjects: descriptive and methodological analysis of trials published between 1990 and 2002 and comparison with trials on adults. J Gerontol Med Sci 2005 (60A);3: 340–344

    Google Scholar 

  4. McMurdo MET, Witham MD, Gillespie ND. Including older people in clinical research. BMJ 2005;331: 1036–1037

    Article  PubMed  Google Scholar 

  5. van Spall HGC, Toren A, Kiss A, Fowler RA. Eligibility criteria of randomized controlled trials published in high-impact general medical journals. JAMA 2007;297: 1233–1240

    Article  PubMed  Google Scholar 

  6. Siu LL. Clinical trials in the elderly — A concept comes of age. NEJM 2007;356(15): 1575–1576

    Article  PubMed  CAS  Google Scholar 

  7. Sinclair AJ. Towards a minimum data set for interventions studies in type 2 diabetes in older people. J Nutr Health Aging 2007;11(3):

  8. Faes M, van Iersel M, Olde-Rikkert M. Methodological issues in geriatric research. J Nutr Health Aging 2007;11(3):

  9. Salva A, Becker C. Minimum data set for research studies in falls and osteoporosis. GerontoNet. J Nutr Health Aging 2007;11(3):

  10. Stuck AE, Siu AL, Wieland GD, Adams J, Rubenstein LZ. Comprehensive Geriatric Assessment: a meta-analysis of controlled trials. Lancet 1993;342: 1032–1036

    Article  PubMed  CAS  Google Scholar 

  11. Lamb SE, Jorstad-Stein E, Hauer K, Becker C. Development of a common outcome data set for fall injury prevention trials: The Prevention of Falls Network Europe Consensus. J Am Geriatr Soc 2005;3: 1618–1622

    Article  Google Scholar 

  12. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and classification. J Chron Dis 1987; 40: 373–383

    Article  PubMed  CAS  Google Scholar 

  13. Mahoney FI, Barthel DW. Functional Assessment: The Barthel Index. Maryland State J 1695;14: 61–65

    Google Scholar 

  14. Katz S, Ford AB, Moskowitz RW. Studies of illness in the aged. The index of ADL. A standardized measure of biological and psychosocial function. JAMA 1963;185: 914–919

    PubMed  CAS  Google Scholar 

  15. Lawton MP, Brody EM. Assessment of older people: self-maintaining and intrumental activities of dialy living. The Gerontologist 1969;9: 179–186

    PubMed  CAS  Google Scholar 

  16. Podsiadlo D, Richardson S. The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc 1991;39: 142–148

    PubMed  CAS  Google Scholar 

  17. Folstein MF, Folstein SE, McHugh PR. Mini-mental State: a practical method for grading the cognitive status of patients for the clinician. J Psychiatr Res 1975; 12: 189–198

    Article  PubMed  CAS  Google Scholar 

  18. Hughes CP, Berg L, Danziger WL, Cohen LA, Martin RL. A new clinical scale for the staging of dementia. Br J Psychiatr 1982;140: 566–572

    Article  CAS  Google Scholar 

  19. Yesavage JA, Brink TL, Rose TL. Development and validation of a geriatric depression screening scale: a preliminary report. J Psych Research 1983;17: 37–49

    Article  CAS  Google Scholar 

  20. Cummings JL, Mega M, Gray K. The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology 1994;169: 2308–2314

    Google Scholar 

  21. Rubenstein LZ, Harker JO, Salva A, Guigoz Y, Vellas B. Screening for undernutrition in geriatric practice: developing the short-form Mini-Nutritional Assessment (MNA-SF). J Gerontol A Biol Sci Med Sci 2001;56: M366–372

    PubMed  CAS  Google Scholar 

  22. Vellas B, Guigoz Y, Garry PJ. The Mini-Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition 1999;15: 116–122

    Article  PubMed  CAS  Google Scholar 

  23. Zarit SH, Reever KE, Bach-Petersen J. Relatives of the impaired elderly: correlates of feeling of burden. The Gerontologist 1980;20: 649–655

    PubMed  CAS  Google Scholar 

  24. Yancik R, Ershler W, Satariano W, Hazzard W, Cohen HJ, Ferrucci L. Report of the National Institute on Aging Task Force on Comorbidity. J Gerontol A Biol Sci Med Sci 2007;62: 275–280

    PubMed  Google Scholar 

  25. Guralnik JM, Simonsick EM, Ferrucci L et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 1994;49: M85–94

    PubMed  CAS  Google Scholar 

  26. Guralnik JM, Ferracci L, Simonsick E. Lower extremity function in persons over 70 years as a predictor of subsequent disability. N Engl J Med 1995;332: 556–561

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to G. Abellan Van Kan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Van Kan, G.A., Sinclair, A., Andrieu, S. et al. The geriatric minimum data set for clinical trials (GMDS). J Nutr Health Aging 12, 197–200 (2008). https://doi.org/10.1007/BF02982620

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02982620

Keywords

Navigation