Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 308

The DOI matches its Crossref record.

Prevalence and Predictive Factors for Peri‐Implant Disease and Implant Failure: A Cross‐Sectional Analysis

Daubert, Diane M., Weinstein, Bradley F., Bordin, Sandra, Leroux, Brian G., Flemmig, Thomas F.·2015·Journal of Periodontology

Abstract

Background: Long‐term studies worldwide indicate that peri‐implant inflammation is a frequent finding and that the prevalence of peri‐implantitis correlates with loading time. Implant loss, although less frequent, has serious oral health and economic consequences. An understanding of predictive factors for peri‐implant disease and implant loss would help providers and patients make informed decisions. Methods: A cross‐sectional study was performed on 96 patients with 225 implants that were placed between 1998 and 2003. Implant placement data were collected from patient records, and patients presented for a clinical and radiographic follow‐up examination. Implant status and periodontal status were determined, the data were analyzed to determine the prevalence of peri‐implant disease or implant loss, and a predictive model was tested. Results: The mean follow‐up time for the patients was 10.9 years. The implant survival rate was 91.6%. Peri‐implant mucositis was found in 33% of the implants and 48% of the patients, and peri‐implantitis occurred in 16% of the implants and 26% of the patients. Individuals with peri‐implantitis were twice as likely to report a problem with an implant as individuals with healthy implants. Peri‐implantitis is associated with younger ages and diabetes at the time of placement and with periodontal status at the time of follow‐up. Implant loss is associated with diabetes, immediate placement, and larger‐diameter implants. Conclusions: One in four patients and one in six implants have peri‐implantitis after 11 years. The data suggest that periodontal and diabetes status of the patient may be useful for predicting implant outcomes.

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 · 10.1902/jop.2014.140438

Cites

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

Cited by

See all 308

Metadata

Authors
Daubert, D. M., Weinstein, B. F., Bordin, S., Leroux, B. G., & Flemmig, T. F.
Venue
Journal of Periodontology
Publisher
Wiley
Published
2015-03
Volume
86
Issue
3
Pages
337-347
ISSN
  • 0022-3492 (ISSN-L)
  • 1943-3670
OpenAlex
W2172130088
Cited by
308
References
0
FWCI
16.85
Type
journal article
Language
en
Open access
closed

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: Prevalence and Predictive Factors for Peri‐Implant Disease and Implant Failure: A Cross‐Sectional Analysis. https://app.cochat.ai/papers/10.1902/jop.2014.140438
The paper
Daubert, D. M., Weinstein, B. F., Bordin, S., Leroux, B. G., & Flemmig, T. F. (2015). Prevalence and Predictive Factors for Peri‐Implant Disease and Implant Failure: A Cross‐Sectional Analysis. Journal of Periodontology. https://doi.org/10.1902/jop.2014.140438

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.