Evidence mapPaperPMID 39275261Full record

ArticleNutrients2024

Polyphenol-Rich Extract of

Jun Peng, Rahima Abdulla, Xiaoyan Liu, Fei He, Xuelei Xin, Haji Akber Aisa

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Total Flavonoids ofNutrients · 2026
    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

6 authors.

Jun PengThe State Key Laboratory Basis Xinjiang Indigenous Medicinal Plant Resource, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Rahima AbdullaThe State Key Laboratory Basis Xinjiang Indigenous Medicinal Plant Resource, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Xiaoyan LiuThe State Key Laboratory Basis Xinjiang Indigenous Medicinal Plant Resource, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Fei HeThe State Key Laboratory Basis Xinjiang Indigenous Medicinal Plant Resource, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Xuelei XinThe State Key Laboratory Basis Xinjiang Indigenous Medicinal Plant Resource, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
Haji Akber AisaThe State Key Laboratory Basis Xinjiang Indigenous Medicinal Plant Resource, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.ORCID 0000-0003-4652-6879

Funding

the Natural Science Foundation of Xinjiang Uygur Autonomous Region 2022D01E94the West Light Foundation of The Chinese Academy of Sciences 2020-XBQNXZ-003Xinjiang International Science & Technology Cooperation Program 2020E01054
6 · The paper itself

Abstract

Diabetic retinopathy (DR) is a specific microvascular problem of diabetes, which is mainly caused by hyperglycemia and may lead to rapid vision loss. Dietary polyphenols have been reported to decrease the risk of DR.

Indexed as

ApocynumAutophagyGlucoseOxidative StressPlant ExtractsPlant LeavesPolyphenolsRetinal Pigment EpitheliumAldehyde ReductaseAntioxidantsCell LineDiabetic RetinopathyEpithelial CellsHumansPolymersSignal TransductionAldehyde ReductaseAntioxidantsGlucosePlant ExtractsPolymerspolyolPolyphenolsApocynum venetum L.autophagydiabetic retinopathydietary polyphenolspolyol pathway

Identifiers

PMID39275261
PMCPMC11397065

What Socratic 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 Socratic graph.