Evidence map›Paper›PMID 34950750›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Deep learning segmentation of glomeruli on kidney donor frozen sections.

Xiang Li, Richard C Davis, Yuemei Xu, Zehan Wang, Nao Souma, Gina Sotolongo, Jonathan Bell, Matthew Ellis, David Howell, Xiling Shen and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

12 authors at 1 institution in 2 countries.

Xiang LiDuke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States.
Richard C DavisDuke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States.ORCID https://orcid.org/0000-0001-8219-2939
Yuemei XuDuke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States.
Zehan WangDuke University, Department of Biomedical Engineering, Durham, North Carolina, United States.
Nao SoumaDuke University, Department of Medicine, Division of Nephrology, Durham, North Carolina, United States.
Gina SotolongoDuke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States.
Jonathan BellDuke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States.ORCID https://orcid.org/0000-0002-5100-6299
Matthew EllisDuke University, Department of Medicine, Division of Nephrology, Durham, North Carolina, United States.
David HowellDuke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States.
Xiling ShenDuke University, Department of Biomedical Engineering, Durham, North Carolina, United States.
Kyle J LafataDuke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States.
Laura BarisoniDuke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States.ORCID https://orcid.org/0000-0003-0848-9683
Duke University · US

Funding

Computational Pathology of Proteinuric DiseasesR01DK118431 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BARISONI, LAURA MARIACHIARA, HODGIN, JEFFREY BENTON · 2018 to 2025
$3.6M
NIDDK NIH HHS R01 DK118431
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learningdonor biopsyfrozen sectionkidney allograftsegmentation

Identifiers

PMID34950750
PMCPMC8685284
OpenAlexW4225476205

What OpenQuestion holds

Textmetadata
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.