Evidence map›Paper›PMID 37318233›Full record

ArticleOcular immunology and inflammation2024

Author Reply to Letter to the Editor: In Response to: Comment on Sutton et al.'s "Allopurinol and the Risk of Diabetic Macular Edema among U.S. Veterans with Type 2 Diabetes".

S Scott Sutton, Joseph Magagnoli, Tammy H Cummings, James W Hardin, Jayakrishna Ambati

Open access · greenAbstract readLetter
In one paragraph

Article in Ocular immunology and inflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

S Scott SuttonDorn Research Institute, Columbia VA Health Care System, Columbia, South Carolina.
Joseph MagagnoliDorn Research Institute, Columbia VA Health Care System, Columbia, South Carolina.
Tammy H CummingsDorn Research Institute, Columbia VA Health Care System, Columbia, South Carolina.
James W HardinDepartment of Epidemiology & Biostatistics, University of South Carolina, Columbia, South Carolina.
Jayakrishna AmbatiDepartment of Ophthalmology, University of Virginia, Charlottesville, Virginia.
University of South Carolina · USDorn Research Institute · USUniversity of Virginia · US

Funding

Visual system and cognitive biology in normal animals versus in an animal model of Alzheimer's disease with or without diabetes treated with solo or dual inflammasome inhibitorsR01EY031039 · NEI · UNIVERSITY OF VIRGINIA · PI AMBATI, JAYAKRISHNA, GELFAND, BRADLEY DAVID · 2020 to 2024
$3.2M
Non-canonical inflammasome in activation in RPE degenerationR01EY029799 · NEI · UNIVERSITY OF VIRGINIA · PI AMBATI, JAYAKRISHNA · 2019 to 2022
$2.7M
Antigen-independent suppression of ocular angiogenesis via the Fc receptorR01EY028027 · NEI · UNIVERSITY OF VIRGINIA · PI AMBATI, JAYAKRISHNA, GELFAND, BRADLEY DAVID · 2018 to 2022
$2.2M
Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorderR01DA054992 · NIDA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI SAFRO, ILYA, SHTUTMAN, MICHAEL · 2021 to 2025
$2.1M
NEI NIH HHS R01 EY028027NEI NIH HHS R01 EY029799NEI NIH HHS R01 EY031039NIDA NIH HHS R01 DA054992VA VA 999999
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AllopurinolDiabetes Mellitus, Type 2Diabetic RetinopathyMacular EdemaVeteransHumansRisk FactorsUnited StatesAllopurinol

Identifiers

PMID37318233
PMCPMC10721714
OpenAlexW4380730171

What OpenQuestion holds

Textmetadata
LicenceTDM
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.