Evidence map›Paper›PMID 36003645›Full record

ReviewFrontiers in physiology2022

Research progress on the relationship between autophagy and chronic complications of diabetes.

Xia Ge, Ling Wang, Aihua Fei, Shandong Ye, Qingping Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 27 citations in OpenAlex.

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  12. Sestrin2 in diabetes and diabetic complications.Frontiers in endocrinology · 2023
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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

5 authors at 3 institutions in 1 country.

Xia GeDepartment of Endocrinology, The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Ling WangGraduate School of Anhui University of Chinese Medicine, Hefei, China.
Aihua FeiDepartment of Endocrinology, The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
Shandong YeDepartment of Endocrinology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China.
Qingping ZhangCollege of Acupuncture-Moxibustion and Tuina, Anhui University of Chinese Medicine, Hefei, China.
Anhui University · CNAnhui University of Traditional Chinese Medicine · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a common metabolic disease whose hyperglycemic state can induce diverse complications and even threaten human health and life security. Currently, the treatment of diabetes is restricted to drugs that regulate blood glucose and have certain accompanying side effects. Autophagy, a research hotspot, has been proven to be involved in the occurrence and progression of the chronic complications of diabetes. Autophagy, as an essential organismal defense mechanism, refers to the wrapping of cytoplasmic proteins, broken organelles or pathogens by vesicles, which are then degraded by lysosomes to maintain the stability of the intracellular environment. Here, we review the relevant aspects of autophagy and the molecular mechanisms of autophagy in diabetic chronic complications, and further analyze the impact of improving autophagy on diabetic chronic complications, which will contribute to a new direction for further prevention and treatment of diabetic chronic complications.

Indexed as

autophagychronic complicationsdiabetes drugmolecular mechanismregulation

Identifiers

PMID36003645
PMCPMC9393249
OpenAlexW4290566354

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.