Evidence map›Paper›PMID 37629692›Full record

ArticleMedicina (Kaunas, Lithuania)2023

Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy.

Tae Young Shin, Hyunho Han, Hyun-Seok Min, Hyungjoo Cho, Seonggyun Kim, Sung Yul Park, Hyung Joon Kim, Jung Hoon Kim, Yong Seong Lee

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Acute kidney injury in urological conditions.Asian biomedicine : research, reviews and news · 2026
    Review
  4. Review
  5. 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

9 authors at 6 institutions in 1 country.

Tae Young ShinSynergy A.I. Co., Ltd., Seoul 07985, Republic of Korea.
Hyunho HanDepartment of Urology, College of Medicine, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-6268-0860
Hyun-Seok MinTomocube, Inc., Daejeon 34109, Republic of Korea.ORCID 0000-0002-7435-7884
Hyungjoo ChoTomocube, Inc., Daejeon 34109, Republic of Korea.
Seonggyun KimDepartment of Urology, College of Medicine, Hallym University, Chuncheon 24253, Republic of Korea.
Sung Yul ParkDepartment of Urology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.
Hyung Joon KimDepartment of Urology, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea.ORCID 0000-0003-3975-3045
Jung Hoon KimDepartment of Urology, Chung-Ang University Gwangmyeong Hospital, College of Medicine, Chung-Ang University, Gwangmyeong 14353, Republic of Korea.
Yong Seong LeeDepartment of Urology, Chung-Ang University Gwangmyeong Hospital, College of Medicine, Chung-Ang University, Gwangmyeong 14353, Republic of Korea.ORCID 0000-0003-0611-4554
Chung-Ang University Hospital · KREwha Womans University · KRHallym University · KRHanyang University · KRKonyang University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Acute Kidney InjuryArtificial IntelligenceCreatinineNephrectomyAdultAgedFemaleHumansMachine LearningMaleMiddle AgedModels, TheoreticalPostoperative PeriodRetrospective StudiesCreatinineacute kidney injuryartificial intelligencepartial nephrectomypostoperative renal function

Identifiers

PMID37629692
PMCPMC10456500
OpenAlexW4385415210

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.