Evidence map›Paper›PMID 34113628›Full record

ArticleFrontiers in medicine2021

Deep Learning-Based Quantification of Visceral Fat Volumes Predicts Posttransplant Diabetes Mellitus in Kidney Transplant Recipients.

Ji Eun Kim, Sang Joon Park, Yong Chul Kim, Sang-Il Min, Jongwon Ha, Yon Su Kim, Soon Ho Yoon, Seung Seok Han

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Clinical and Radiological Fusion: A New Frontier in Predicting Post-Transplant Diabetes Mellitus.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
  6. Article
  7. Review
  8. 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

8 authors at 3 institutions in 2 countries.

Ji Eun KimDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, South Korea.
Sang Joon ParkDepartment of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Sang-Il MinDepartment of Surgery, Seoul National University College of Medicine, Seoul, South Korea.
Jongwon HaDepartment of Surgery, Seoul National University College of Medicine, Seoul, South Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Soon Ho YoonDepartment of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
Seung Seok HanDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Seoul National University · KRKorea University Medical Center · KRUMass Memorial Health Care · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebody mass indexdeep learningfatkidney transplantationpost-transplant diabetes mellitus

Identifiers

PMID34113628
PMCPMC8185023
OpenAlexW3165840944

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.