Literature DB >> 33355206

Corneal confocal microscopy compared with quantitative sensory testing and nerve conduction for diagnosing and stratifying the severity of diabetic peripheral neuropathy.

Maryam Ferdousi1, Alise Kalteniece1, Shazli Azmi1, Ioannis N Petropoulos2, Anne Worthington1, Luca D'Onofrio3, Shaishav Dhage1, Georgios Ponirakis4, Uazman Alam1, Andrew Marshall1, Catharina G Faber5, Giuseppe Lauria6, Handrean Soran1,7, Rayaz A Malik8,2.   

Abstract

INTRODUCTION: Diabetic neuropathy can be diagnosed and assessed using a number of techniques including corneal confocal microscopy (CCM). RESEARCH DESIGN AND METHODS: We have undertaken quantitative sensory testing, nerve conduction studies and CCM in 143 patients with type 1 and type 2 diabetes without neuropathy (n=51), mild neuropathy (n=47) and moderate to severe neuropathy (n=45) and age-matched controls (n=30).
RESULTS: Vibration perception threshold (p<0.0001), warm perception threshold (WPT) (p<0.001), sural nerve conduction velocity (SNCV) (p<0.001), corneal nerve fiber density (CNFD) (p<0.0001), corneal nerve branch density (CNBD) (p<0.0001), corneal nerve fiber length (CNFL) (p=0.002), inferior whorl length (IWL) (p=0.0001) and average nerve fiber length (ANFL) (p=0.0001) showed a progressive abnormality with increasing severity of diabetic neuropathy. Receiver operating characteristic curve analysis for the diagnosis of diabetic neuropathy showed comparable performance in relation to the area under the curve (AUC) but differing sensitivities and specificities for vibration perception threshold (AUC 0.79, sensitivity 55%, specificity 90%), WPT (AUC 0.67, sensitivity 50%, specificity 76%), cold perception threshold (AUC 0.64, sensitivity 80%, specificity 47%), SNCV (AUC 0.70, sensitivity 76%, specificity 54%), CNFD (AUC 0.71, sensitivity 58%, specificity 83%), CNBD (AUC 0.70, sensitivity 69%, specificity 65%), CNFL (AUC 0.68, sensitivity 64%, specificity 67%), IWL (AUC 0.72, sensitivity 70%, specificity 65%) and ANFL (AUC 0.72, sensitivity 71%, specificity 66%).
CONCLUSION: This study shows that CCM identifies early and progressive corneal nerve loss at the inferior whorl and central cornea and has comparable utility with quantitative sensory testing and nerve conduction in the diagnosis of diabetic neuropathy. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cornea; diabetes complications; diabetic neuropathies; diagnosis

Mesh:

Year:  2020        PMID: 33355206      PMCID: PMC7754626          DOI: 10.1136/bmjdrc-2020-001801

Source DB:  PubMed          Journal:  BMJ Open Diabetes Res Care        ISSN: 2052-4897


Corneal nerve loss may allow the diagnosis of diabetic neuropathy. There is progressive loss of corneal nerves at the central and inferior whorl region with increasing severity of diabetic neuropathy. Inferior whorl length was reduced while central corneal nerve fiber length was still preserved in patients without diabetic neuropathy, consistent with an early distal axonopathy. Corneal confocal microscopy has comparable utility with quantitative sensory testing and nerve conduction studies in the diagnosis of diabetic neuropathy. Corneal confocal microscopy may be used to diagnose and stratify the severity of diabetic neuropathy.

Introduction

Corneal confocal microscopy (CCM) has been used to identify nerve fiber degeneration in patients with diabetic neuropathy.1–5 It is a rapid, non-invasive nerve imaging technique with high reproducibility and moderate to high sensitivity and specificity in the diagnosis of diabetic peripheral neuropathy (DPN).3 6–10 To date, most studies have undertaken central corneal nerve assessment. However, recent animal and small human studies suggest that quantification of corneal nerve morphology at the inferior whorl may detect earlier nerve fiber damage.11–14 Given that DPN is a length-dependent distal axonopathy, nerves at the inferior whorl are expected to be affected before central corneal nerves.15 Indeed, we have previously shown greater corneal nerve loss at the inferior whorl compared with the central cornea,13 14 16 even though central corneal nerve fiber length (CNFL) is considered to be optimal for diagnosing DPN.17–19 While Pritchard et al13 reported a comparable diagnostic utility for central and inferior whorl corneal nerve length, Petropoulos et al14 showed that inferior whorl length (IWL) increased the sensitivity in diagnosing DPN. More recently, Kalteniece et al16 combined CNFL and IWL and showed that it was more reliable than either alone, in identifying patients with diabetic neuropathy. Corneal nerve loss in larger images incorporating nerves from the center and inferior whorl has been demonstrated in patients with recently diagnosed type 2 diabetes.20 Furthermore, in our recent longitudinal study, a reduction in IWL occurred more rapidly than CNFL in patients with diabetic neuropathy.21 We have compared the utility of quantifying corneal nerve loss at the inferior whorl and central cornea with quantitative sensory testing and nerve conduction in the diagnosis and assessment of the severity of DPN.

Research design and methods

Study participants

One hundred and forty-three patients with diabetes and 30 control participants underwent a comprehensive assessment of peripheral neuropathy and CCM. Each participant provided informed consent prior to participation in the study. Patients were excluded if they had a history of connective tissue or infectious disease, malignancy, deficiency in B12 or folate, chronic renal and liver failure, current or active diabetic foot ulceration, previous ocular trauma, systemic disease other than diabetes that could cause neuropathy or affect the cornea, corneal surgery, and a history of or current contact lens wear.

Clinical and peripheral neuropathy assessment

Each participant underwent assessment of body mass index (BMI), blood pressure, glycated hemoglobin (HbA1c) and lipid profile. The simplified Neuropathy Disability Score (NDS), which assesses vibration, pinprick, temperature perception, and presence or absence of ankle reflexes, was used to stratify patients into three groups: no (NDS=0–2), mild (NDS=3–5) and moderate to severe (NDS=6–10) neuropathy.22 Vibration perception threshold (VPT) was assessed using a neurothesiometer (Scientific Laboratory Supplies, Wilford, Nottingham, UK), and cold perception threshold (CPT) and warm perception threshold (WPT) were tested on the dorsolateral aspect of the non-dominant foot (S1) using a TSA-II NeuroSensory Analyzer (Medoc, Ramat Yishai, Israel). Electrodiagnostic studies were undertaken by a consultant neurophysiologist using a Dantec ‘Keypoint’ system (Dantec Dynamics, Bristol, UK) equipped with a thermistor (DISA temperature regulator, Denmark) to keep the limb temperature at 32°C–35°C and sural nerve conduction velocity (SNCV) was tested.

Ophthalmic assessment

Examinations of the anterior ocular segment using slit-lamp biomicroscopy and CCM examination using laser scanning CCM (Heidelberg Retina Tomograph III Rostock Cornea Module; Heidelberg Engineering, Heidelberg, Germany) were performed for both eyes according to our established protocol.23 Six images (three per eye) from the central sub-basal nerve plexus and four images (two per eye) from the inferior whorl region were selected and manually quantified using CCMetrics (The University of Manchester, Manchester, UK). Images were selected by a single expert in a masked fashion taking into account the quality, depth and variability following our previously established protocol.3 14 Corneal nerve fiber density (CNFD; total number of main nerves per square millimeter) (no./mm2), corneal nerve branch density (CNBD; total number of branches per square millimeter) (no./mm2), CNFL (total length of main nerves and nerve branches per square millimeter) (mm/mm2), IWL (total length of nerves per square millimeter) (mm/mm2) and average nerve fiber length (ANFL=CNFL+IWL/2) (mm/mm2) were quantified.17

Statistical analysis

Analysis was carried out using SPSS V.22.0 for Windows. The Shapiro-Wilk test was employed to assess whether data were normally distributed. Fisher’s exact test was used to test the association between two categorical variables. Analysis of variance and analysis of covariance with least significant difference correction were used for multiple comparisons between groups. All data were expressed as mean±SEM. P<0.05 was considered significant. Graphs were created using GraphPad Prism (V.7.0c for Windows; GraphPad Software, La Jolla, California, USA). Receiver operating characteristic (ROC) curves were used to define the optimum cut-off points with the highest sensitivity and specificity in the diagnosis of DPN, and Youden’s index (J=sensitivity+specificity−1) was measured.

Results

Clinical, demographic and laboratory findings

All participant groups were matched for gender (p=0.4) and ethnicity (p=0.3). Age (p=0.003), duration of diabetes (p=0.01), HbA1c (p<0.0001), BMI (p=0.04) and low-density lipoprotein cholesterol (p<0.0001) were significantly different between all participant groups. There was no difference in high-density lipoprotein cholesterol (p=0.4) or triglycerides (p=0.7) between groups (table 1).
Table 1

Demographic and clinical findings in controls and in patients with diabetes with no, mild and moderate to severe neuropathy

ParameterControls (n=30)No neuropathy(n=51)Mild neuropathy(n=47)Moderate to severe neuropathy (n=45)ANOVA p value
Age (years)54.51±2.357.68±1.660.16±1.7*64.1±1.48*†0.003
Gender (female/male)15/1520/3118/2916/290.4
Ethnicity (European/non-European)23/742/931/1636/90.3
Duration of diabetes (years)015±218±224±30.01
HbA1c (mmol/mol)36.4±0.6556.21±2.52*55.99±1.88*55.37±2.05*<0.0001
BMI (kg/m2)27.05±0.9429.09±0.8628.73±1.031.62±1.41*0.04
Triglycerides (mmol/L)1.63±0.211.41±0.11.53±0.141.45±0.170.7
LDL-C (mmol/L)2.6±0.142.14±0.12*1.9±0.15*1.7±0.08*†<0.0001
HDL-C (mmol/L)1.67±0.11.58±0.071.47±0.081.49±0.10.4

All data are expressed as mean±SEM.

*Significant difference compared with controls.

†Significant difference compared with no neuropathy.

ANOVA, analysis of variance; BMI, body mass index; HbA1c, glycated hemoglobin; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

Demographic and clinical findings in controls and in patients with diabetes with no, mild and moderate to severe neuropathy All data are expressed as mean±SEM. *Significant difference compared with controls. †Significant difference compared with no neuropathy. ANOVA, analysis of variance; BMI, body mass index; HbA1c, glycated hemoglobin; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol.

Peripheral neuropathy assessment

VPT was significantly higher in patients with no (12.2±1.24, p=0.02), mild (15.05±1.2, p<0.0001) and moderate to severe (25.56±1.35, p<0.0001) neuropathy compared with controls (7.1±1.80) (table 2). CPT was significantly lower only in patients with mild (19.52±1.47, p=0.02) and moderate to severe (18.99±1.55, p=0.01) neuropathy compared with controls (25.38±2.06). WPT was significantly higher in patients with no (41.65±0.6, p=0.01), mild (43.47±0.6, p<0.0001) and moderate to severe (43.62±0.7, p<0.0001) neuropathy compared with controls (38.87±0.9). SNCV was significantly lower in patients with no (43.14±1.56, p=0.001), mild (43.5±1.69, p=0.002) and moderate to severe (40.19±1.79, p<0.0001) neuropathy compared with controls (52.09±2.1).
Table 2

ANCOVA with LSD correction for CCM and other measures of peripheral neuropathy in controls and in patients with diabetes with increasing severity of neuropathy

ParametersControl (n=30)No neuropathy (n=51)Mild neuropathy (n=47)Moderate to severe neuropathy (n=45)P value
VPT (V)7.1±1.8012.2±1.24*15.05±1.2*25.56±1.35*†‡<0.0001
CPT (°C)25.38±2.0621.68±1.4419.52±1.47*18.99±1.55*0.06
WPT (°C)38.87±0.941.65±0.6*43.47±0.6*†43.62±0.7*†<0.001
SNCV (m/s)52.09±2.143.14±1.56*43.5±1.69*40.19±1.79*<0.001
CNFD (no./mm2)33.71±1.326.61±1.05*24.47±1.09*22.4±1.14*†<0.0001
CNBD (no./mm2)81.52±5.5464.07±4.39*58.49±4.76*45.60±4.5*†<0.0001
CNFL (mm/mm2)25.07±1.2723.31±0.9620.84±1.004*19.27±1.04*†0.002
IWL (mm/mm2)31.69±1.6624.9±1.26*22.28±1.31*19.03±1.36*†<0.0001
ANFL (mm/mm2)28.38±1.324.1±0.98*21.56±1.02*19.15±1.06*†<0.0001

Data presented as marginal mean±SEM.

*Significant difference compared with controls.

†Significant difference compared with no neuropathy.

‡Significant difference compared with mild neuropathy.

ANCOVA, analysis of covariance; ANFL, average nerve fiber length; CCM, corneal confocal microscopy; CNBD, corneal nerve branch density; CNFD, corneal nerve fiber density; CNFL, corneal nerve fiber length; CPT, cold perception threshold; IWL, inferior whorl length; LSD, least significant difference; SNCV, sural nerve conduction velocity; VPT, vibration perception threshold; WPT, warm perception threshold.

ANCOVA with LSD correction for CCM and other measures of peripheral neuropathy in controls and in patients with diabetes with increasing severity of neuropathy Data presented as marginal mean±SEM. *Significant difference compared with controls. †Significant difference compared with no neuropathy. ‡Significant difference compared with mild neuropathy. ANCOVA, analysis of covariance; ANFL, average nerve fiber length; CCM, corneal confocal microscopy; CNBD, corneal nerve branch density; CNFD, corneal nerve fiber density; CNFL, corneal nerve fiber length; CPT, cold perception threshold; IWL, inferior whorl length; LSD, least significant difference; SNCV, sural nerve conduction velocity; VPT, vibration perception threshold; WPT, warm perception threshold.

Corneal confocal microscopy

CNFD was significantly lower in patients with no (26.61±1.05, p<0.0001), mild (24.47±1.09, p<0.0001) and moderate to severe (22.4±1.14, p<0.0001) neuropathy compared with controls (33.71±1.3) (figure 1, table 2). CNBD was significantly lower in patients with no (64.07±4.39, p=0.01), mild (58.49±4.76, p=0.002) and moderate to severe (45.60±4.50, p<0.0001) neuropathy compared with controls (81.52±5.54). CNFL was significantly lower in patients with mild (20.84±1.004, p=0.01) and moderate to severe (19.27±1.04, p=0.001) neuropathy compared with controls (25.07±1.27). IWL was significantly lower in patients with no (24.9±1.26, p=0.001), mild (22.28±1.31, p<0.0001) and moderate to severe (19.03±1.36, p<0.0001) neuropathy compared with controls (31.69±1.66). ANFL was significantly lower in patients with no (24.1±0.98, p=0.009), mild (21.56±1.02, p<0.0001) and moderate to severe (19.15±1.06, p<0.0001) neuropathy compared with controls (28.38±1.3).
Figure 1

Corneal confocal microscopy images of the central cornea (top row) and the inferior whorl (bottom row) in a healthy control (first column) and in patients with no (second column), mild (third column) and moderate to severe (fourth column) neuropathy. DPN, diabetic peripheral neuropathy; NDS, Neuropathy Disability Score.

Corneal confocal microscopy images of the central cornea (top row) and the inferior whorl (bottom row) in a healthy control (first column) and in patients with no (second column), mild (third column) and moderate to severe (fourth column) neuropathy. DPN, diabetic peripheral neuropathy; NDS, Neuropathy Disability Score.

Diagnostic utility of different measures of DPN

The ROC curves (table 3) for quantitative sensory testing, nerve conduction and CCM for the diagnosis of diabetic neuropathy (NDS >3) (figure 2) revealed comparable area under the curve (AUC) but variable sensitivities and specificities for VPT (AUC 0.79, sensitivity 55%, specificity 90%), WPT (AUC 0.67, sensitivity 50%, specificity 76%), CPT (AUC 0.64, sensitivity 80%, specificity 47%), SNCV (AUC 0.70, sensitivity 76%, specificity 54%), CNFD (AUC 0.71, sensitivity 58%, specificity 83%), CNBD (AUC 0.70, sensitivity 69%, specificity 65%), CNFL (AUC 0.68, sensitivity 64%, specificity 67%), IWL (AUC 0.72, sensitivity 70%, specificity 65%) and ANFL (AUC 0.72, sensitivity 71%, specificity 66%).
Table 3

Diagnostic performance of quantitative sensory testing, nerve conduction and CCM in the diagnosis of diabetic peripheral neuropathy

Neuropathy measureAUCP valueSensitivity (%)Specificity (%)Youden’s cut-off point
VPT0.79<0.0001559017.37
WPT0.67<0.001507644.2
CPT0.64<0.002804727.3
SNCV0.70<0.01765445.9
CNFD0.71<0.0001588323.95
CNBD0.70<0.0001696558.54
CNFL0.68<0.0001646721.6
IWL0.72<0.0001706524.4
ANFL0.72<0.0001716623.4

ANFL, average nerve fiber length; AUC, area under the curve; CCM, corneal confocal microscopy; CNBD, corneal nerve branch density; CNFD, corneal nerve fiber density; CNFL, corneal nerve fiber length; CPT, cold perception threshold; IWL, inferior whorl length; SNCV, sural nerve conduction velocity; VPT, vibration perception threshold; WPT, warm perception threshold.

Figure 2

ROC curves for CNFL (mm/mm2), IWL (mm/mm2) and ANFL (mm/mm2). ANFL, average nerve fiber length; CNFL, corneal nerve fiber length; IWL, inferior whorl length; ROC, receiver operating characteristic.

Diagnostic performance of quantitative sensory testing, nerve conduction and CCM in the diagnosis of diabetic peripheral neuropathy ANFL, average nerve fiber length; AUC, area under the curve; CCM, corneal confocal microscopy; CNBD, corneal nerve branch density; CNFD, corneal nerve fiber density; CNFL, corneal nerve fiber length; CPT, cold perception threshold; IWL, inferior whorl length; SNCV, sural nerve conduction velocity; VPT, vibration perception threshold; WPT, warm perception threshold. ROC curves for CNFL (mm/mm2), IWL (mm/mm2) and ANFL (mm/mm2). ANFL, average nerve fiber length; CNFL, corneal nerve fiber length; IWL, inferior whorl length; ROC, receiver operating characteristic.

Discussion

Recommendations for the diagnosis of diabetic neuropathy require the presence of symptoms and signs and abnormal nerve conduction studies or a measure of small fiber damage if nerve conduction study (NCS) is normal.24 25 Abnormal monofilament testing and VPT reflect large nerve fiber damage and predict an increased risk of diabetic foot ulceration,26 while thermal sensory thresholds and intraepidermal nerve fiber density identify early small nerve fiber dysfunction27 and degeneration,28 respectively. CCM is a rapid, non-invasive ophthalmic technique for the quantification of small nerve fiber damage in DPN.29 30 Studies have shown a relationship between central corneal nerve loss and the severity of diabetic neuropathy20 31–34 with good sensitivity and specificity for the diagnosis of DPN.19 33 In a small early study using wide-field mapping in patients with diabetes with and without neuropathy, we showed greater corneal nerve loss at the inferior whorl region.35 Subsequently, in a cohort of patients with and without DPN, we demonstrated that IWL assessment enhanced the diagnostic ability of CCM14 30 and it was more markedly reduced in patients with painful diabetic neuropathy.16 36 More recently, in a longitudinal study in patients with DPN, we have shown more rapid corneal nerve loss at the inferior whorl compared with the central cornea.21 Furthermore, IWL rather than CNFL reduction has been associated with increased glucose variability and time above range.37 The current study demonstrates progressive loss of corneal nerves at the central and inferior whorl region with increasing severity of DPN.4 33 Moreover, in patients without neuropathy we show that IWL was reduced but CNFL was still preserved, consistent with an early distal axonopathy in DPN.38 We also show progressive abnormality in the VPT, CPT, WPT and SNCV with increasing severity of DPN. In particular we show an early increase in the VPT of patients without DPN, which may reflect the early involvement of the Pacinian corpuscles.39 For the diagnosis of DPN we show comparable AUCs for quantitative sensory testing, nerve conduction and CCM. However, the sensitivity and specificity of these tests vary and may reflect the limitations of NDS in identifying early DPN. Thus VPT had a relatively low sensitivity but high specificity, while SNCV and CPT, more precise measures of large myelinated fibers, had higher sensitivity but lower specificity. However, CNFD had comparable sensitivity and specificity with VPT, while the other measures of corneal nerve fiber loss, particularly IWL and ANFL, had better sensitivity and specificity in the diagnosis of DPN. Perkins et al5 assessed 998 patients with diabetes and showed comparable AUC and sensitivity and specificity in the diagnosis of DPN using the Toronto criteria. Pritchard et al13 have reported 90% sensitivity and 50% specificity for CNFL compared with 80% sensitivity and 60% specificity for IWL; however, they used fully automated software to analyze CCM images, which underestimates corneal nerve parameters compared with the manual analysis used in this study. A limitation in the interpretation of our findings is that NDS is a relatively crude and subjective measure to diagnose and stratify the severity of DPN. Indeed, this may explain why the group designated as having no neuropathy already have abnormal VPT, CPT, SNCV and corneal nerve loss. Nevertheless, this is the largest study to date to demonstrate comparable utility of a range of CCM measures compared with quantitative sensory testing and nerve conduction studies, which are established measures of DPN.
  39 in total

1.  Differential hypertrophy and atrophy among all types of cutaneous innervation in the glabrous skin of the monkey hand during aging and naturally occurring type 2 diabetes.

Authors:  Michel Paré; Phillip J Albrecht; Christopher J Noto; Noni L Bodkin; Gary L Pittenger; David J Schreyer; Xenia T Tigno; Barbara C Hansen; Frank L Rice
Journal:  J Comp Neurol       Date:  2007-04-01       Impact factor: 3.215

2.  The Inferior Whorl For Detecting Diabetic Peripheral Neuropathy Using Corneal Confocal Microscopy.

Authors:  Ioannis N Petropoulos; Maryam Ferdousi; Andrew Marshall; Uazman Alam; Georgios Ponirakis; Shazli Azmi; Hassan Fadavi; Nathan Efron; Mitra Tavakoli; Rayaz A Malik
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-04       Impact factor: 4.799

3.  Corneal confocal microscopy: a novel non-invasive technique to quantify small fibre pathology in peripheral neuropathies.

Authors:  Mitra Tavakoli; Rayaz A Malik
Journal:  J Vis Exp       Date:  2011-01-03       Impact factor: 1.355

4.  Corneal confocal microscopy: a non-invasive surrogate of nerve fibre damage and repair in diabetic patients.

Authors:  R A Malik; P Kallinikos; C A Abbott; C H M van Schie; P Morgan; N Efron; A J M Boulton
Journal:  Diabetologia       Date:  2003-05-09       Impact factor: 10.122

5.  Wide-field assessment of the human corneal subbasal nerve plexus in diabetic neuropathy using a novel mapping technique.

Authors:  Katie Edwards; Nicola Pritchard; Kevin Gosschalk; Geoff P Sampson; Anthony Russell; Rayaz A Malik; Nathan Efron
Journal:  Cornea       Date:  2012-09       Impact factor: 2.651

6.  A multicentre study of the prevalence of diabetic peripheral neuropathy in the United Kingdom hospital clinic population.

Authors:  M J Young; A J Boulton; A F MacLeod; D R Williams; P H Sonksen
Journal:  Diabetologia       Date:  1993-02       Impact factor: 10.122

7.  Corneal Confocal Microscopy Identifies Small-Fiber Neuropathy in Subjects With Impaired Glucose Tolerance Who Develop Type 2 Diabetes.

Authors:  Shazli Azmi; Maryam Ferdousi; Ioannis N Petropoulos; Georgios Ponirakis; Uazman Alam; Hassan Fadavi; Omar Asghar; Andrew Marshall; Andrew J Atkinson; Wendy Jones; Andrew J M Boulton; Mitra Tavakoli; Maria Jeziorska; Rayaz A Malik
Journal:  Diabetes Care       Date:  2015-04-15       Impact factor: 19.112

8.  Diagnostic utility of corneal confocal microscopy and intra-epidermal nerve fibre density in diabetic neuropathy.

Authors:  Uazman Alam; Maria Jeziorska; Ioannis N Petropoulos; Omar Asghar; Hassan Fadavi; Georgios Ponirakis; Andrew Marshall; Mitra Tavakoli; Andrew J M Boulton; Nathan Efron; Rayaz A Malik
Journal:  PLoS One       Date:  2017-07-18       Impact factor: 3.240

9.  Greater corneal nerve loss at the inferior whorl is related to the presence of diabetic neuropathy and painful diabetic neuropathy.

Authors:  Alise Kalteniece; Maryam Ferdousi; Ioannis Petropoulos; Shazli Azmi; Safwaan Adam; Hassan Fadavi; Andrew Marshall; Andrew J M Boulton; Nathan Efron; Catharina G Faber; Giuseppe Lauria; Handrean Soran; Rayaz A Malik
Journal:  Sci Rep       Date:  2018-02-19       Impact factor: 4.379

10.  Corneal confocal microscopy for identification of diabetic sensorimotor polyneuropathy: a pooled multinational consortium study.

Authors:  Bruce A Perkins; Leif E Lovblom; Vera Bril; Daniel Scarr; Ilia Ostrovski; Andrej Orszag; Katie Edwards; Nicola Pritchard; Anthony Russell; Cirous Dehghani; Danièle Pacaud; Kenneth Romanchuk; Jean K Mah; Maria Jeziorska; Andrew Marshall; Roni M Shtein; Rodica Pop-Busui; Stephen I Lentz; Andrew J M Boulton; Mitra Tavakoli; Nathan Efron; Rayaz A Malik
Journal:  Diabetologia       Date:  2018-06-04       Impact factor: 10.122

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  6 in total

Review 1.  Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies.

Authors:  Kelley Newlin Lew; Tracey Arnold; Catherine Cantelmo; Francky Jacque; Hugo Posada-Quintero; Pooja Luthra; Ki H Chon
Journal:  J Diabetes Sci Technol       Date:  2022-01-07

2.  Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy.

Authors:  Aleksandra Matuszewska-Iwanicka; Bernd Stratmann; Oliver Stachs; Stephan Allgeier; Andreas Bartschat; Karsten Winter; Rudolf Guthoff; Diethelm Tschoepe; Hans-Joachim Hettlich
Journal:  Ophthalmol Ther       Date:  2022-10-03

Review 3.  Early Detection of Diabetic Peripheral Neuropathy: A Focus on Small Nerve Fibres.

Authors:  Jamie Burgess; Bernhard Frank; Andrew Marshall; Rashaad S Khalil; Georgios Ponirakis; Ioannis N Petropoulos; Daniel J Cuthbertson; Rayaz A Malik; Uazman Alam
Journal:  Diagnostics (Basel)       Date:  2021-01-24

Review 4.  Diabetic corneal neuropathy as a surrogate marker for diabetic peripheral neuropathy.

Authors:  Wei Zheng So; Natalie Shi Qi Wong; Hong Chang Tan; Molly Tzu Yu Lin; Isabelle Xin Yu Lee; Jodhbir S Mehta; Yu-Chi Liu
Journal:  Neural Regen Res       Date:  2022-10       Impact factor: 6.058

5.  Corneal Confocal Microscopy Predicts the Development of Diabetic Neuropathy: A Longitudinal Diagnostic Multinational Consortium Study.

Authors:  Bruce A Perkins; Leif Erik Lovblom; Evan J H Lewis; Vera Bril; Maryam Ferdousi; Andrej Orszag; Katie Edwards; Nicola Pritchard; Anthony Russell; Cirous Dehghani; Danièle Pacaud; Kenneth Romanchuk; Jean K Mah; Maria Jeziorska; Andrew Marshall; Roni M Shtein; Rodica Pop-Busui; Stephen I Lentz; Mitra Tavakoli; Andrew J M Boulton; Nathan Efron; Rayaz A Malik
Journal:  Diabetes Care       Date:  2021-07-01       Impact factor: 17.152

6.  Corneal confocal microscopy for the diagnosis of diabetic peripheral neuropathy: A systematic review and meta-analysis.

Authors:  Hoda Gad; Ioannis N Petropoulos; Adnan Khan; Georgios Ponirakis; Ross MacDonald; Uazman Alam; Rayaz A Malik
Journal:  J Diabetes Investig       Date:  2021-08-27       Impact factor: 4.232

  6 in total

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