Evidence map›Paper›PMID 33144353›Full record

ArticleDiabetes care2021

Diagnosis of Neuropathy and Risk Factors for Corneal Nerve Loss in Type 1 and Type 2 Diabetes: A Corneal Confocal Microscopy Study.

Maryam Ferdousi, Alise Kalteniece, Shazli Azmi, Ioannis N Petropoulos, Georgios Ponirakis, Uazman Alam, Omar Asghar, Andrew Marshall, Catherine Fullwood, Maria Jeziorska and 7 more

Abstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 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

17 authors.

Maryam FerdousiInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.
Alise KaltenieceInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.
Shazli AzmiInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.
Ioannis N PetropoulosResearch Division, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Georgios PonirakisResearch Division, Weill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Uazman AlamDepartment of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, U.K.
Omar AsgharInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.
Andrew MarshallInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.
Catherine FullwoodCentre for Biostatistics, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, U.K.
Maria JeziorskaInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.ORCID 0000-0002-3492-0177
Caroline AbbottResearch Centre for Musculoskeletal Science and Sports Medicine, Department of Life Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, U.K.ORCID 0000-0002-4506-2235
Giuseppe LauriaIRCCS Foundation "Carlo Besta" Neurological Institute, Milan, Italy.
Catharina G FaberDepartment of Neurology, School for Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, the Netherlands.
Handrean SoranInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.ORCID 0000-0003-1714-5014
Nathan EfronQueensland University of Technology, School of Optometry and Vision Science, Brisbane, Queensland, Australia.
Andrew J M BoultonInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K.
Rayaz A MalikInstitute of Cardiovascular Sciences, Cardiac Centre, Faculty of Medical and Human Sciences, The University of Manchester and NIHR/Wellcome Trust Clinical Research Facility, Manchester, U.K. ram2045@qatar-med.cornell.edu.ORCID 0000-0002-7188-8903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the diagnostic utility of corneal confocal microscopy (CCM) for diabetic peripheral neuropathy (DPN) and the risk factors for corneal nerve loss. RESEARCH DESIGN AND

methodsA total of 490 participants, including 72 healthy control subjects, 149 with type 1 diabetes, and 269 with type 2 diabetes, underwent detailed assessment of peripheral neuropathy and CCM in relation to risk factors.

resultsCorneal nerve fiber density (CNFD) (

conclusionsCCM identifies more severe corneal nerve loss in patients with type 1 diabetes compared with type 2 diabetes and shows good diagnostic accuracy for DPN. Furthermore, the risk factors for a reduction in corneal nerve fiber length differ between type 1 and type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesCorneaHumansMicroscopy, ConfocalRisk Factors

Identifiers

PMID33144353
PMCPMC7783929

What OpenQuestion holds

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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.