Evidence map›Paper›PMID 36425113›Full record

ArticleFrontiers in medicine2022

Combining transfer learning with retinal lesion features for accurate detection of diabetic retinopathy.

Doaa Hassan, Hunter Mathias Gill, Michael Happe, Ashay D Bhatwadekar, Amir R Hajrasouliha, Sarath Chandra Janga

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 18 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 2 countries.

Doaa HassanDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, Indianapolis, IN, United States.
Hunter Mathias GillDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, Indianapolis, IN, United States.
Michael HappeDepartment of Ophthalmology, Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, United States.
Ashay D BhatwadekarDepartment of Ophthalmology, Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, United States.
Amir R HajrasoulihaDepartment of Ophthalmology, Glick Eye Institute, Indiana University School of Medicine, Indianapolis, IN, United States.
Sarath Chandra JangaDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, Indianapolis, IN, United States.
Indiana University – Purdue University Indianapolis · USIndiana University School of Medicine

Funding

miR-92a as a biomarker of diabetic retinopathyR01EY032080 · NEI · INDIANA UNIVERSITY INDIANAPOLIS · PI BHATWADEKAR, ASHAY D · 2021 to 2025
$2.6M
Retinal dysfunction in Alzheimer's disease mouse modelsR01EY027779 · NEI · INDIANA UNIVERSITY INDIANAPOLIS · PI BHATWADEKAR, ASHAY D · 2017 to 2021
$2.4M
NEI NIH HHS R01 EY027779NEI NIH HHS R01 EY032080
6 · The paper itself

Abstract

Diabetic retinopathy (DR) is a late microvascular complication of Diabetes Mellitus (DM) that could lead to permanent blindness in patients, without early detection. Although adequate management of DM

Indexed as

deep learningDiabetic Retinopathylesion featuresretinal imagetransfer learning

Identifiers

PMID36425113
PMCPMC9681494
OpenAlexW4308591099

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.