Evidence map›Paper›PMID 36362727›Full record

ReviewJournal of clinical medicine2022

The Role of Adaptive Immunity in Diabetic Retinopathy.

Mengting Xue, Xiying Mao, Mingkang Chen, Wenjie Yin, Songtao Yuan, Qinghuai Liu

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. 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
0.9field-weighted citation impact, top 26% 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, 12 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Mengting XueDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Xiying MaoDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Mingkang ChenDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Wenjie YinDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Songtao YuanDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Qinghuai LiuDepartment of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

National Natural Science Foundation of China 81870694National Natural Science Foundation of China 81970821National Natural Science Foundation of China 82201239National Natural Science Foundation of China 82271100
6 · The paper itself

Abstract

Diabetic retinopathy (DR) is currently one of the common causes of vision loss in working-age adults. It is clinically diagnosed and classified according to the vascular changes in the fundus. However, the activation of immune cells occurs before these vascular changes become detectable. These, together with molecular studies and the positive clinical outcomes of anti-inflammatory treatment, highlight the pivotal involvement of the immune system. The role of innate immunity in DR pathophysiology has been studied in depth, but the contribution of adaptive immunity remains largely elusive. This review aims to summarize our current understanding of the activation mechanism of adaptive immunity in DR microenvironments and to discuss the relationship between adaptive immunity and local vascular units or innate immunity, which opens new avenues for clinical applications in DR treatment.

Indexed as

adaptive immunitydiabetic retinopathylymphocyte

Identifiers

PMID36362727
PMCPMC9657718
OpenAlexW4308118676

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.