Evidence map›Paper›PMID 25974028›Full record

ArticleScientific reports2015

A new gender-specific model for skin autofluorescence risk stratification.

Muhammad S Ahmad, Zoheir A Damanhouri, Torben Kimhofer, Hala H Mosli, Elaine Holmes

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Muhammad S AhmadDrug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Zoheir A Damanhouri1] Drug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia [2] Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Torben KimhoferSection of Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, SW7 2AZ, United Kingdom.
Hala H MosliDepartment of Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Elaine Holmes1] Drug Metabolism Unit, King Fahad Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia [2] Section of Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, SW7 2AZ, United Kingdom.
King Abdulaziz University · SAImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced glycation endproducts (AGEs) are believed to play a significant role in the pathophysiology of a variety of diseases including diabetes and cardiovascular diseases. Non-invasive skin autofluorescence (SAF) measurement serves as a proxy for tissue accumulation of AGEs. We assessed reference SAF and skin reflectance (SR) values in a Saudi population (n = 1,999) and evaluated the existing risk stratification scale. The mean SAF of the study cohort was 2.06 (SD = 0.57) arbitrary units (AU), which is considerably higher than the values reported for other populations. We show a previously unreported and significant difference in SAF values between men and women, with median (range) values of 1.77 AU (0.79-4.84 AU) and 2.20 AU (0.75-4.59 AU) respectively (p-value « 0.01). Age, presence of diabetes and BMI were the most influential variables in determining SAF values in men, whilst in female participants, SR was also highly correlated with SAF. Diabetes, hypertension and obesity all showed strong association with SAF, particularly when gender differences were taken into account. We propose an adjusted, gender-specific disease risk stratification scheme for Middle Eastern populations. SAF is a potentially valuable clinical screening tool for cardiovascular risk assessment but risk scores should take gender and ethnicity into consideration for accurate diagnosis.

Indexed as

FluorescenceSkin Physiological PhenomenaAdolescentAdultAgedAged, 80 and overBody Mass IndexCardiovascular DiseasesCross-Sectional StudiesDiabetes MellitusFemaleGlycation End Products, AdvancedHumansHypertensionMaleMiddle AgedGlycation End Products, Advanced

Identifiers

PMID25974028
PMCPMC4431468
OpenAlexW2270191172

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LicenceCC BY
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Registered trials

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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.