Evidence map›Paper›PMID 34238996›Full record

ArticleScientific reports2021

Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk.

Lukas Streese, Giulia Lona, Jonathan Wagner, Raphael Knaier, Andri Burri, Gilles Nève, Denis Infanger, Walthard Vilser, Arno Schmidt-Trucksäss, Henner Hanssen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Lukas StreeseDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Giulia LonaDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Jonathan WagnerDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Raphael KnaierDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Andri BurriDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Gilles NèveDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Denis InfangerDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Walthard VilserInstitute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Ilmenau, Germany.
Arno Schmidt-TrucksässDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland.
Henner HanssenDepartment of Sport, Exercise and Health, Medical Faculty, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland. henner.hanssen@unibas.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinal vessel phenotype is predictive for cardiovascular outcome. This cross-sectional population-based study aimed to quantify normative data and standard operating procedures for static and dynamic retinal vessel analysis. We analysed central retinal arteriolar (CRAE) and venular (CRVE) diameter equivalents, as well as retinal endothelial function, measured by flicker light-induced maximal arteriolar (aFID) and venular (vFID) dilatation. Measurements were performed in 277 healthy individuals aged 20 to 82 years of the COmPLETE study. The mean range from the youngest compared to the oldest decade was 196 ± 13 to 166 ± 17 µm for CRAE, 220 ± 15 to 199 ± 16 µm for CRVE, 3.74 ± 2.17 to 3.79 ± 2.43% for aFID and 4.64 ± 1.85 to 3.86 ± 1.56% for vFID. Lower CRAE [estimate (95% CI): - 0.52 (- 0.61 to - 0.43)], CRVE [- 0.33 (- 0.43 to - 0.24)] and vFID [- 0.01 (- 0.26 to - 0.00)], but not aFID, were significantly associated with older age. Interestingly, higher blood pressure was associated with narrower CRAE [- 0.82 (- 1.00 to - 0.63)] but higher aFID [0.05 (0.03 to 0.07)]. Likewise, narrower CRAE were associated with a higher predicted aFID [- 0.02 (- 0.37 to - 0.01)]. We recommend use of defined standardized operating procedures and cardiovascular risk stratification based on normative data to allow for clinical implementation of retinal vessel analysis in a personalized medicine approach.

Indexed as

Heart Disease Risk FactorsAdultAgedAged, 80 and overAgingArteriolesCardiovascular DiseasesFemaleHumansMaleMiddle AgedPrecision MedicineRetinaRetinal VesselsRisk FactorsVenules

Identifiers

PMID34238996
PMCPMC8266855

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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.