Evidence map›Paper›PMID 42723375›Full record

Observational studyAnnals of medicine2026

Association of AI-derived abdominal organ volumetry with postoperative outcomes in clear cell renal cell carcinoma: a multicentre study.

Jie Lou, Yi Ren, Bingxin Gong, Yusheng Guo, Dingyang Lv, Shuai Shan, Qiang Lu, Aoxin Sun, Jijun Wu, Yuhang Chen and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jie LouDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yi RenDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bingxin GongDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yusheng GuoDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dingyang LvFirst Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China.
Shuai ShanDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Qiang LuDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Aoxin SunDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jijun WuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuhang ChenDepartment of Genitourinary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Xin YaoDepartment of Genitourinary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Lian YangDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0003-4664-2474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCT-derived body composition parameters are associated with clinical outcomes in clear cell renal cell carcinoma (ccRCC), but the prognostic value of abdominal solid organ volumes remains unclear.

methodsIn this multicentre study, 1,720 patients with ccRCC who underwent nephrectomy across four centres and 3,052 healthy controls were included. A deep learning algorithm was used to automatically quantify abdominal organ volumes. Organ volume indices were calculated by normalizing volumes to body surface area. Associations between abdominal organ volumes and recurrence-free survival (RFS) and overall survival (OS) were evaluated using centre-stratified Cox regression models. Multivariable models were adjusted for age, gender, tumour size, laterality, surgical approach, pT stage, pN stage, International Society of Urological Pathology grade and tumor necrosis.

resultsDuring a median follow-up of 51.6 (49.2-52.8) months, 165 patients experienced recurrence and 95 died. Organ volume distributions were similar across centres. Compared with healthy controls, ccRCC patients showed higher spleen and adrenal gland volume indices and lower pancreatic volume index. In multivariable Cox analyses, higher liver volume (HR = 1.42,

conclusionsHigher liver and right adrenal gland volumes were associated with worse OS in ccRCC. These findings warrant external validation and further mechanistic investigation.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNephrectomyAdrenal GlandsAgedDisease-Free SurvivalFemaleHumansLiverMaleMiddle AgedNeoplasm Recurrence, LocalOrgan SizePrognosisRetrospective StudiesSpleenabdominal organ volumeartificial intelligenceClear cell renal cell carcinomacomputed tomographynephrectomyprognosis

Identifiers

PMID42723375
PMCPMC13573536

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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.