Evidence map›Paper›PMID 37790261›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Correlation Between Fibrinogen/Albumin and Diabetic Peripheral Neuropathy.

Jiangli Ban, Xiaoyu Pan, Liqun Yang, Zhuoya Jia, Ruoxi Zhen, Xueqing Zhang, Shuchun Chen

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. The Role of Novel Biomarkers in the Early Management of Peripheral Diabetic Neuropathy.Central nervous system agents in medicinal chemistry · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Relationship Between UA/HDL and Diabetic Peripheral Neuropathy: A Cross-Sectional Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  9. Article
  10. 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

7 authors at 4 institutions in 1 country.

Jiangli BanGraduate School of Hebei North University, Zhangjiakou, People's Republic of China.
Xiaoyu PanDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China.
Liqun YangDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China.
Zhuoya JiaDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China.
Ruoxi ZhenDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China.ORCID 0009-0004-4517-8571
Xueqing ZhangDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China.
Shuchun ChenDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, People's Republic of China.
Hebei Medical University · CNHebei General Hospital · CNHebei North University · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to examine the correlation between fibrinogen/albumin (FAR) and diabetic peripheral neuropathy (DPN). Patients and Methods: A total of 342 patients were included and categorized into either the DPN group or the Non-DPN (NDPN) group based on their DPN status. The FAR index was determined by calculating the ratio of fibrinogen (FIB) to serum albumin (ALB), multiplied by 100. The participants were then divided into a High-FAR group and a Low-FAR group using the median FAR value as the threshold. Neurophysiological data were collected from the participants, which included motor conduction velocity (MCV) and sensory conduction velocity (SCV). Results: The DPN group displayed higher FAR levels [(DPN vs NDPN:6.72 (5.89,7.74) vs 5.94±1.14], in addition to slower SCV and MCV data compared to the NDPN group. The high FAR group had a higher prevalence of DPN (78.9% vs 55.6%) (P<0.05). There was a negative correlation between FAR and NCV, including bilateral median nerve SCV, left ulnar nerve SCV, bilateral median nerve MCV, bilateral common peroneal nerve MCV, bilateral tibial nerve MCV, and left ulnar nerve MCV. FAR was revealed to be an independent risk factor for the development of DPN in patients and demonstrated a greater predictive value for DPN development in Type 2 diabetes mellitus (T2DM) compared with FIB, HbA1c. Conclusion: The results suggest that monitoring FAR levels in patients with T2DM could identify those at higher risk for developing DPN, making the FAR index a valuable predictor of DPN development. Furthermore, since FAR has an inverse relationship with NCV, it stands to reason that high FAR levels may indicate nerve damage and slower conduction velocities. Thus, managing FAR could prove beneficial in both preventing and delaying the onset of DPN in T2DM patients.

Indexed as

diabetic peripheral neuropathyfibrinogen/albumintype 2 diabetes mellitus

Identifiers

PMID37790261
PMCPMC10543934
OpenAlexW4387048604

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.