Evidence map›Paper›PMID 34258874›Full record

SynthesisCancer medicine2021

Parallel comparison of R.E.N.A.L., PADUA, and C-index scoring systems in predicting outcomes after partial nephrectomy: A systematic review and meta-analysis.

Can Hu, Jiale Sun, Zhiyu Zhang, Haoyang Zhang, Qi Zhou, Jiangnan Xu, Zhixin Ling, Jun Ouyang

Abstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. CT-based AI score associates with perioperative outcomes in nephron-sparing surgery for renal cell carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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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

8 authors.

Can HuDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-9583-9348
Jiale SunDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhiyu ZhangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Haoyang ZhangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Qi ZhouDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiangnan XuDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Zhixin LingDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jun OuyangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

National Natural Science Foundation of China 82002715Natural Science Foundation of Jiangsu Province BK20190170Science and Technology Program of Suzhou City SLJ201906
6 · The paper itself

Abstract

objectiveTo parallelly compare the applicability of the radius, exophytic/endophytic, nearness, anterior/posterior, location nephrometry score (R.E.N.A.L.), the Preoperative Aspects and Dimensions Used for an Anatomical (PADUA), and the centrality index (C-index) scoring systems in predicting clinical outcomes after partial nephrectomy (PN).

methodsWe searched EMBASE, PubMed, Ovid, and Web of Science to perform a meta-analysis examining the correlation coefficients between three nephrometry scores (NSs) and warm ischemia time (WIT), estimated blood loss (EBL), operation time (OT), length of stay (LOS), and absolute change in eGFR (ACE) up to 25 January 2021.

resultsIn total, 13 studies including 1496 patients met the criteria for further analysis. Overall, all scoring systems had statistically significant correlations with the WIT, EBL, OT, ACE and LOS and ACE, except for the correlation between PADUA and LOS (r = 0.16 [-0.00, 0.31], p > 0.05). The C-index had the strongest correlation with WIT (r = -0.35 [-0.43, -0.26], p < 0.05) and ACE (r = -0.29 [-0.48, -0.10], p < 0.05). Weak correlations were observed between OT as well as EBL and each scoring system. Publication bias was observed in PADUA score predicting ACE (p = 0.04) and high heterogeneity was found in some of our results.

conclusionUntil now, this is the first meta-analysis that parallelly compares these three scoring systems in predicting outcomes after PN. We found that all NSs showed a statistically significant correlation with WIT, EBL, OT, and ACE. Moreover, the C-index scoring system is the best predictor of WIT and ACE. Due to the existence of publication bias and high heterogeneity, more well-designed and large-scale studies are warranted for validation.

Indexed as

Blood Loss, SurgicalCarcinoma, Renal CellGlomerular Filtration RateHumansKidneyKidney NeoplasmsLength of StayNephrectomyOperative TimePublication BiasResearch DesignRetrospective StudiesTreatment OutcomeWarm IschemiaC-indexclinical outcomesPADUApartial nephrectomyR.E.N.A.L.

Identifiers

PMID34258874
PMCPMC8335816

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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.