Evidence map›Paper›PMID 38260156›Full record

ArticleFrontiers in endocrinology2023

Correlation of mild cognitive impairment with the thickness of retinal nerve fiber layer and serum indicators in type 2 diabetic patients.

Renshi Li, Fengjie Zheng, Peichen Xu, Li Lv, Yapeng Mu, Xianghua Zhuang, Shihong Chen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.7field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Renshi Li *Emergency Department, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Fengjie Zheng *Department of Endocrinology and Metabolism, Multidisciplinary Innovation Center for Nephrology of the Second Hospital of Shandong University, The Second Hospital of Shandong University, Ji'nan, Shandong, China.
Peichen XuDepartment of Endocrinology and Metabolism, Multidisciplinary Innovation Center for Nephrology of the Second Hospital of Shandong University, The Second Hospital of Shandong University, Ji'nan, Shandong, China.
Li LvDepartment of Endocrinology and Metabolism, Multidisciplinary Innovation Center for Nephrology of the Second Hospital of Shandong University, The Second Hospital of Shandong University, Ji'nan, Shandong, China.
Yapeng MuDepartment of Endocrinology and Metabolism, Multidisciplinary Innovation Center for Nephrology of the Second Hospital of Shandong University, The Second Hospital of Shandong University, Ji'nan, Shandong, China.
Xianghua ZhuangDepartment of Endocrinology and Metabolism, Multidisciplinary Innovation Center for Nephrology of the Second Hospital of Shandong University, The Second Hospital of Shandong University, Ji'nan, Shandong, China.
Shihong ChenDepartment of Endocrinology and Metabolism, Multidisciplinary Innovation Center for Nephrology of the Second Hospital of Shandong University, The Second Hospital of Shandong University, Ji'nan, Shandong, China.
Second Hospital of Shandong University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cognitive Impairment arising from type 2 diabetes mellitus (T2DM) has garnered significant attention in recent times. However, there are few studies on the identification and diagnosis of markers of cognitive impairment. Notably, alterations in the Retinal Nerve Fiber Layer's (RNFL) thickness can potentially serve as an indicative measure of central nervous system changes. Further investigations have indicated that the decline in cognitive function within T2DM patients is intricately linked to persistent systemic inflammation and the accumulation of advanced glycosylation end products. Comprehensive studies are warranted to unveil these complex associations. Objective: This study aims to explore the potential of utilizing the RNFL thickness and serological concentrations of IL-18, irisin, CML, and RAGE as diagnostic indicators for Mild Cognitive Impairment (MCI) among individuals with T2DM. Methods: The thickness of RNFL were determined in all patients and controls using optical coherence tomography (OCT). The serum levels of IL-18, irisin, CML and RAGE were detected by ELISA kit. In addition, Cognitive assessment was performed by the Mini-Mental State Examination (MMSE) and the Montreal Cognitive assessment (MoCA). Results: The average RNFL thickness in the right eye were decreased in T2DM and T2DM combined with MCI (T2DM-MCI) patients and were positively correlated with MoCA and MMSE scores. The serum levels of IL-18, CML and RAGE in T2DM and T2DM-MCI increased significantly (p<0.05) and were negative correlated with MoCA and MMSE scores. The level of irisin in T2DM and T2DM-MCI decreased significantly (p<0.05) and were positively correlated with MoCA and MMSE scores. The area under the ROC curve of T2DM-MCI predicted by the average RNFL thickness in the right eye, CML and RAGE were 0.853, 0.874 and 0.815. The diagnostic efficacy of the combination of average RNFL thickness in the right eye, CML, and RAGE for the diagnosis of T2DM-MCI was 0.969. Conclusion: The average RNFL thickness in the right eye, CML and RAGE have possible diagnostic value in T2DM-MCI patients.

Indexed as

Cognitive DysfunctionDiabetes Mellitus, Type 2FibronectinsHumansInterleukin-18Nerve FibersRetinaFibronectinsInterleukin-18carboxymethyl lysineinterleukin-18irisinmild cognitive impairmentreceptors for AGEsthe thickness of retinal nerve fiber layertype 2 diabetes mellitus

Identifiers

PMID38260156
PMCPMC10801021
OpenAlexW4390666102

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.