Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 482

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Incidence and Risk Factors for New-Onset Diabetes in HIV-Infected Patients

Open access
De Wit, Stephane, Sabin, Caroline A., Weber, Rainer, Worm, Signe Westring, Reiss, Peter, Cazanave, Charles, El-Sadr, Wafaa, Monforte, Antonella d'Arminio, Fontas, Eric, Law, Matthew G., Friis-Møller, Nina, Phillips, Andrew·2008·Diabetes Care

Abstract

OBJECTIVE—The aims of this study were to determine the incidence of diabetes among HIV-infected patients in the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) cohort, to identify demographic, HIV-related, and combination antiretroviral therapy (cART)-related factors associated with the onset of diabetes, and to identify possible mechanisms for any relationships found. RESEARCH DESIGN AND METHODS—D:A:D is a prospective observational study of 33,389 HIV-infected patients; diabetes is a study end point. Poisson regression models were used to assess the relation between diabetes and exposure to cART after adjusting for known risk factors for diabetes, CD4 count, lipids, and lipodystrophy. RESULTS—Over 130,151 person-years of follow-up (PYFU), diabetes was diagnosed in 744 patients (incidence rate of 5.72 per 1,000 PYFU [95% CI 5.31–6.13]). The incidence of diabetes increased with cumulative exposure to cART, an association that remained significant after adjustment for potential risk factors for diabetes. The strongest relationship with diabetes was exposure to stavudine; exposures to zidovudine and didanosine were also associated with an increased risk of diabetes. Time-updated measurements of total cholesterol, HDL cholesterol, and triglycerides were all associated with diabetes. Adjusting for each of these variables separately reduced the relationship between cART and diabetes slightly. Although lipodystrophy was significantly associated with diabetes, adjustment for this did not modify the relationship between cART and diabetes. CONCLUSION—Stavudine and zidovudine are significantly associated with diabetes after adjustment for risk factors for diabetes and lipids. Adjustment for lipodystrophy did not modify the relationship, suggesting that the two thymidine analogs probably directly contribute to insulin resistance, potentially through mitochondrial toxicity.

Overview

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 · 10.2337/dc07-2013

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 5 references

Cited by

See all 482

Metadata

Authors
De Wit, S., Sabin, C. A., Weber, R., Worm, S. W., Reiss, P., Cazanave, C., El-Sadr, W., Monforte, A. D., Fontas, E., Law, M. G., Friis-Møller, N., & Phillips, A.
Venue
Diabetes Care
Published
2008-06-01
Volume
31
Issue
6
Pages
1224-1229
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2110717475
Cited by
482
References
5
FWCI
33.79
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Incidence and Risk Factors for New-Onset Diabetes in HIV-Infected Patients. https://app.cochat.ai/papers/10.2337/dc07-2013
The paper
De Wit, S., Sabin, C. A., Weber, R., Worm, S. W., Reiss, P., Cazanave, C., El-Sadr, W., Monforte, A. D., Fontas, E., Law, M. G., Friis-Møller, N., & Phillips, A. (2008). Incidence and Risk Factors for New-Onset Diabetes in HIV-Infected Patients. Diabetes Care. https://doi.org/10.2337/dc07-2013

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.