Evidence map›Paper›PMID 40546033›Full record

ArticleRenal failure2025

Development and validation of a nomogram combining cytokines with traditional clinical parameters in predicting the risk of postoperative sepsis after ureteroscopic lithotripsy.

Shuai Liu, Hongmin Zhou, Zeyu Chen, Yunze Dong, Tiancheng Xie, Guangchun Wang, Jing Yuan, Xiangcheng Zhan, Xudong Yao, Yunfei Xu

Abstract readValidation Study
In one paragraph

Article in Renal failure, 2025. 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
–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

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

10 authors.

Shuai LiuDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Hongmin ZhouDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Zeyu ChenDepartment of Urology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Yunze DongDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Tiancheng XieDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Guangchun WangDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Jing YuanDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiangcheng ZhanDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Xudong YaoDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Yunfei XuDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is one of the most severe complications of ureteroscopic lithotripsy (URSL) surgery and is the main cause of death in hospitalized patients. Traditional preoperative patient management and risk assessment systems need to be updated urgently to reduce the occurrence of postoperative sepsis. This study aimed to construct a novel nomogram to preoperatively predict the risk of septic complications after URSL.

methodWe retrospectively reviewed the records of patients who underwent URSL between January and December 2023 and divided them into the control and sepsis groups according to their postoperative outcomes. Baseline data, routine blood and urine parameters, and blood cytokine concentrations were collected for analysis. Independent predictive factors for the onset of postoperative sepsis were selected using univariate and multivariate logistic regression analyses. A nomogram was constructed, and its clinical effectiveness was validated using receiver operating characteristic (ROC) curve and decision curve analyses (DCA).

resultsThree hundred and thirty-three patients were included in the analysis; 293 were discharged smoothly and divided into a control group, and 40 patients developed postoperative sepsis. Day of preoperative antibiotic use, C-reactive protein, albumin, lactate dehydrogenase, interleukin (IL)-6, IL-8, IL-10, interferon-γ, and urine protein were entered into the nomogram. Our nomogram demonstrated strong discriminative ability, with an area under the ROC curve of 0.981. Further validation of the DCA showed that the nomogram was clinically useful in evaluating the risk of postoperative septic complications.

conclusionsWe developed a nomogram combining traditional blood and urine parameters with cytokine concentrations to predict the risk of postoperative septic complications after URSL. Validation using decision curve analysis revealed satisfactory discrimination, indicating its potential clinical utility. This may aid in surgical risk assessment and clinical decision-making.

Indexed as

CytokinesLithotripsyNomogramsPostoperative ComplicationsSepsisUreteroscopyAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsCytokinescytokinesnomogramUrosepsisURSL

Identifiers

PMID40546033
PMCPMC12893481

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.