Evidence map›Paper›PMID 28931094›Full record

ArticlePloS one2017

Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus.

Muhammad Saeed Ahmad, Torben Kimhofer, Sultan Ahmad, Mohammed Nabil AlAma, Hala Hisham Mosli, Salwa Ibrahim Hindawi, Dennis O Mook-Kanamori, Katarína Šebeková, Zoheir Abdullah Damanhouri, Elaine Holmes

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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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 at 5 institutions in 4 countries.

Muhammad Saeed AhmadDrug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Torben KimhoferBiomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, South Kensington, London, United Kingdom.
Sultan AhmadDrug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Mohammed Nabil AlAmaCardiology Unit, Department of Medicine, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
Hala Hisham MosliDepartment of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Salwa Ibrahim HindawiDepartment of Haematology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Dennis O Mook-KanamoriDepartment of Primary Care/Public Health and Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Katarína ŠebekováInstitute of Molecular Biomedicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
Zoheir Abdullah DamanhouriDrug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Elaine HolmesDrug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
King Abdulaziz University · SAImperial College London · GBComenius University Bratislava · SKKing Abdulaziz Hospital · SALeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin auto fluorescence (SAF) is used as a proxy for the accumulation of advanced glycation end products (AGEs) and has been proposed to stratify patients into cardiovascular disease (CVD) and diabetes mellitus (DM) risk groups. This study evaluates the effects of seven different ethnicities (Arab, Central-East African, Eastern Mediterranean, European, North African, South Asian and Southeast Asian) and gender on SAF as well as validating SAF assessment as a risk estimation tool for CVD and DM in an Arabian cohort. SAF data from self-reported healthy 2,780 individuals, collated from three independent studies, has been linear modelled using age and gender as a covariate. A cross-study harmonized effect size (Cohens'd) is provided for each ethnicity. Furthermore, new data has been collected from a clinically well-defined patient group of 235 individuals, to evaluate SAF as a clinical tool for DM and CVD-risk estimation in an Arab cohort. In an Arab population, SAF-based CVD and/or DM risk-estimation can be improved by referencing to ethnicity and gender-specific SAF values. Highest SAF values were observed for the North African population, followed by East Mediterranean, Arab, South Asian and European populations. The South Asian population had a slightly steeper slope in SAF values with age compared to other ethnic groups. All ethnic groups except Europeans showed a significant gender effect. When compared with a European group, effect size was highest for Eastern Mediterranean group and lowest for South Asian group. The Central-East African and Southeast Asian ethnicity matched closest to the Arab and Eastern Mediterranean ethnicities, respectively. Ethnic and gender-specific data improves performance in SAF-based CVD and DM risk estimation. The provided harmonized effect size allows a direct comparison of SAF in different ethnicities. For the first time, gender differences in SAF are described for North African and East Mediterranean populations.

Indexed as

AdolescentAdultAgedAged, 80 and overArabsCardiovascular DiseasesDiabetes MellitusFemaleFluorescenceHumansMaleMiddle AgedRisk FactorsSkinWhite PeopleYoung Adult

Identifiers

PMID28931094
PMCPMC5607192
OpenAlexW2755495023

What OpenQuestion holds

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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.