Cited by 21Traffic and Road SafetyOlder Adults Driving StudiesDiabetes Management and Research

Diabetes and collision risk. A meta-analysis and meta-regression

Open access
Hostiuc, S., Negoi, I., Hostiuc, M.·2016·International Journal of Clinical Practice

Abstract

AIMS: The main objective of this study was to see whether diabetes is associated with an increased collision risk and to test the effect of age and gender on the overall collision risk for diabetes drivers. MATERIALS AND METHODS: Twenty-eight studies were included in meta-analysis, using mean age, gender, continent and the prevalence of fatal road incidents as covariates. RESULTS: The collision risk for diabetes drivers was small and not statistically significant - RR = 1.11 (1.01-1.23) with a prediction interval (PI) or 0.77-1.65. Age and gender were not associated with an increased overall risk. Insulin-dependent diabetes patients had a slightly increased effect size compared with the overall diabetes population, but the effect was not statistically significant. European diabetes drivers had a lower collision risk compared with their North American counterparts, the main cause being the difference of collision risk in the countries in which the studies were performed. CONCLUSIONS: Overall, diabetes patients do not have a statistically significant increased risk for unfavourable traffic events. Old age and insulin-dependent patients tend to have a higher risk. Advances in diabetes care, associated with advances in road safety regulations, and automotive industry have not decreased significantly the collision risk in the last 50 years for drivers with diabetes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/ijcp.12832

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Telehealth permits integration of a multidisciplinary team, such as nurses, pharmacists, dieticians, and other health professionals, into an individual's care.

    “Telehealth also allows for integration of a multidisciplinary team, which could include nurses, pharmacists, dieticians, and other health care professionals, for an individual’s health care.1684–1686”

    From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [1686]

    The Introduction and Abstract discuss diabetes and motor-vehicle collision risk, not telehealth or multidisciplinary care. Searches for telehealth, multidisciplinary teams, and integration of health professionals found no passage addressing the claim; the available passages have no page labels. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 7

  1. [1]1. IDF DIabetes Atlas, 7th edition, http:// www.idf.org/diabetesatlas (accessed 1 October 2015).
  2. [2]2. American Diabetes Association. Diabetes and driv- ing. Diabetes Care 2012; 35: S81-6.
  3. [4]4. Ekoe JM, Labergenadeau C, Ghadirian P, Hamet P. Impact of diabetes-mellitus on road safety. Diabetes Metab 1991; 17: 61-7.
  4. [20]20. WHO. Global Status Report on Road Safety 2013: Supporting a Decade of Action, Luxembourg: WHO Press, 2013.
  5. [22]22. Stork ADM, Van Haeften TW, Veneman TF. Dia- betes and Driving Desired data, research methods and their pitfalls, current knowledge, and future research. Diabetes Care 2006; 29: 1942-9.
  6. [28]28. Ysander L. Diabetic motor-vehicle drivers without driving-license restrictions. Acta Chir Scand Suppl 1970; 409: 45-53.
  7. [50]50. Paper received January 2016, accepted April 2016 ª 2016 John Wiley & Sons Ltd Int J Clin Pract, July 2016, 70, 7, 554-568 568 Diabetes and collision risk

Cited by

Sorted by citations

Authors
Hostiuc, S., Negoi, I., & Hostiuc, M.
Affiliations
Carol Davila University of Medicine and Pharmacy (RO)
Corresponding author
Hostiuc, S.
Venue
International Journal of Clinical Practice
Publisher
Wiley
Published
2016-06-29
Volume
70
Issue
7
Pages
554-568
ISSN
1368-5031 (ISSN-L)
OpenAlex
W2466195849
Cited by
21
References
44
Citations by year
2025: 3 · 2024: 1 · 2022: 7 · 2021: 3 · 2020: 1 · 2019: 1 · 2018: 5
FWCI
0.46
Type
journal article
Language
en
Open access
Locations
  • International Journal of Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
Funders
Carol Davila University of Medicine and Pharmacy (33887/11.11.2014)
Topics
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Older Adults Driving Studies
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords
diabetes mellitus, collision risk, traffic accidents, type 1 diabetes, age and gender differences, road safety, road safety regulations
MeSH terms
Accidents, Traffic, Adult, Age Factors, Aged, Automobile Driving, Diabetes Mellitus, Female, Humans, Male, Middle Aged, Risk Factors, Sex Factors, Prevalence, Diabetes Complications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review