Evidence map›Paper›PMID 38560277›Full record

ArticleOphthalmology science

Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort.

Siegfried K Wagner, Praveen J Patel, Josef Huemer, Hagar Khalid, Kelsey V Stuart, Colin J Chu, Dominic J Williamson, Robbert R Struyven, David Romero-Bascones, Paul J Foster and 10 more

Open access · goldAbstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 8 institutions in 3 countries.

Siegfried K WagnerPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Praveen J PatelPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Josef HuemerNIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom.
Hagar KhalidNIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom.
Kelsey V StuartPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Colin J ChuPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Dominic J WilliamsonPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Robbert R StruyvenPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
David Romero-BasconesNIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom.
Paul J FosterPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Anthony P KhawajaPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Axel PetzoldPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Konstantinos BalaskasPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Mario Cortina-BorjaPopulation, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.
Iain ChappleNIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom.
Thomas DietrichNIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom.
Jugnoo S RahiPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Alastair K DennistonPopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
Pearse A KeanePopulation and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom.
UK Biobank Eye & Vision Consortium
Health Data Research UK · GBMoorfields Eye Hospital · GBBirmingham Community Healthcare NHS Trust · GBGreat Ormond Street Hospital · GBMondragon Unibertsitatea · ESQueen Mary University of London · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBKepler Universitätsklinikum · AT

Funding

Medical Research Council MR/T000953/1Medical Research Council MR/T019050/1Medical Research Council MR/T033371/1Wellcome Trust
6 · The paper itself

Abstract

Purpose: Periodontitis, a ubiquitous severe gum disease affecting the teeth and surrounding alveolar bone, can heighten systemic inflammation. We investigated the association between very severe periodontitis and early biomarkers of age-related macular degeneration (AMD), in individuals with no eye disease. Design: Cross-sectional analysis of the prospective community-based cohort United Kingdom (UK) Biobank. Participants: Sixty-seven thousand three hundred eleven UK residents aged 40 to 70 years recruited between 2006 and 2010 underwent retinal imaging. Methods: Macular-centered OCT images acquired at the baseline visit were segmented for retinal sublayer thicknesses. Very severe periodontitis was ascertained through a touchscreen questionnaire. Linear mixed effects regression modeled the association between very severe periodontitis and retinal sublayer thicknesses, adjusting for age, sex, ethnicity, socioeconomic status, alcohol consumption, smoking status, diabetes mellitus, hypertension, refractive error, and previous cataract surgery. Main Outcome Measures: Photoreceptor layer (PRL) and retinal pigment epithelium-Bruch's membrane (RPE-BM) thicknesses. Results: Among 36 897 participants included in the analysis, 1571 (4.3%) reported very severe periodontitis. Affected individuals were older, lived in areas of greater socioeconomic deprivation, and were more likely to be hypertensive, diabetic, and current smokers (all Conclusions: Among those with no known eye disease, very severe periodontitis is statistically associated with a thinner PRL, consistent with incipient AMD. Optimizing oral hygiene may hold additional relevance for people at risk of degenerative retinal disease. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Age-related macular degenerationOptical coherence tomographyPeriodontitis

Identifiers

PMID38560277
PMCPMC10973663
OpenAlexW4391071031

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.