Evidence map›Paper›PMID 29518115›Full record

ArticlePloS one2018

The influence of age, anthropometric and metabolic variables on LDIFLARE and corneal confocal microscopy in healthy individuals.

Sanjeev Sharma, Victoria Tobin, Prashanth R J Vas, Rayaz A Malik, Gerry Rayman

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Assessing corneal dendritic cells in glucose dysregulation small-fibre neuropathy.Journal of the peripheral nervous system : JPNS · 2024
    Article
  5. Review
  6. Article
  7. Small Fiber Neuropathy in Diabetes Polyneuropathy: Is It Time to Change?Journal of diabetes science and technology · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Current View of Diagnosing Small Fiber Neuropathy.Journal of neuromuscular diseases · 2021
    Review
  14. Article
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

5 authors.

Sanjeev SharmaDiabetes Research Unit, The Ipswich Hospital NHS Trust, Ipswich, United Kingdom.
Victoria TobinDiabetes Research Unit, The Ipswich Hospital NHS Trust, Ipswich, United Kingdom.
Prashanth R J VasDepartment of Diabetes, The Kings College NHS Foundation Trust, London, United Kingdom.
Rayaz A MalikWeill Cornell Medicine-Qatar, Doha, Qatar & Institute of Cardiovascular Medicine, University of Manchester, Manchester, United Kingdom.
Gerry RaymanDiabetes Research Unit, The Ipswich Hospital NHS Trust, Ipswich, United Kingdom.ORCID 0000-0003-3331-7015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe laser Doppler imaging (LDI) FLARE and corneal confocal microscopy (CCM) are reliable markers of small fibre function (SFF) and structure (SFS), respectively, but the impact of potential confounding variables needs to be defined. The objective of this study was to determine the influence of age, anthropometric and biochemical variables on LDI and CCM.

methods80 healthy volunteers (43 males) (age: 39.7±15.2 yrs.) underwent LDIFLARE and CCM assessment and the effect of age, anthropometric and biochemical variables was determined using multivariate analysis.

resultsThere was an age-related decline in LDIFLARE (0.07cm2/yr; R2 = 0.669; p = <0.0001) and CCM parameters (CNFD: 0.05 fibres/mm2 /yr; R2 = 0.590; p = <0.0001, CNBD: 0.06 branches/mm2/yr; R2 = 0.549; p = 0.001and CNFL 0.07 mm/mm2/yr; R2 = 0.369; p = 0.009). BMI did not influence SFF (p = 0.08) but had a significant independent association with CNFD (p = 0.01). Fasting triglycerides (TG) independently influenced the LDIFLARE (βc:-0.204; p = 0.008) and all CCM indices (βc:-0.191 to -0.243; p = <0.05). HbA1c was significantly associated with CNFD only (p = 0.001) but not with LDIFLARE, CNBD or CNFL (p = ≥0.05). Blood pressure and total cholesterol were not associated with LDIFLARE or any CCM parameters. There was a significant correlation between LDIFLARE and all CCM parameters (p = ≤0.01).

conclusionsThis study shows that in healthy controls, both SFF measured by LDIFLARE and SFS assessed by CCM showed a significant inverse correlation with age and triglycerides, perhaps suggesting the use of age-specific normative values when interpreting these outcomes. Furthermore, this study shows that in healthy controls, despite measuring different neural parameters, both methods correlated significantly with each other.

Indexed as

Laser-Doppler FlowmetryMicroscopy, ConfocalAdultAgedAgingBlood PressureBody Mass IndexCholesterolCorneaCross-Sectional StudiesFemaleHumansLinear ModelsLongitudinal StudiesMaleMicrocirculationCholesterolTriglycerides

Identifiers

PMID29518115
PMCPMC5843248

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.