Evidence map›Paper›PMID 35059687›Full record

ArticleFrontiers in digital health2021

Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge.

Niranjan J Sathianathen, Nicholas Heller, Resha Tejpaul, Bethany Stai, Arveen Kalapara, Jack Rickman, Joshua Dean, Makinna Oestreich, Paul Blake, Heather Kaluzniak and 12 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

22 authors.

Niranjan J SathianathenDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Nicholas HellerDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Resha TejpaulDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Bethany StaiDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Arveen KalaparaDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Jack RickmanDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Joshua DeanDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Makinna OestreichDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Paul BlakeDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Heather KaluzniakDepartment of Urology, University of North Dakota, Grand Forks, ND, United States.
Shaneabbas RazaDepartment of Urology, University of North Dakota, Grand Forks, ND, United States.
Joel RosenbergDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Keenan MooreDepartment of Undergraduate Studies, Carleton College, Northfield, MN, United States.
Edward WalczakDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Zachary RengelDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Zach EdgertonDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Ranveer VasdevDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Matthew PetersonDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Sean McSweeneyDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.
Sarah PetersonDepartment of Undergraduate Studies, Brigham Young University, Provo, UT, United States.
Nikolaos PapanikolopoulosDepartment of Computer Science & Engineering, University of Minnesota, Minneapolis, MN, United States.
Christopher WeightDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ct scanskidney tumorsmedical imagesrenal masssemantic segmentation

Identifiers

PMID35059687
PMCPMC8763784

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.