Evidence map›Paper›PMID 40416383›Full record

ArticleFrontiers in nutrition2025

Effectiveness of CONUT and NRI as nutritional risk screening tools in peritoneal dialysis: a multicenter study.

Wenlong Qiu, Rui Chu, Yaqi Ma, Jiaxin Xue, Qingdong Xu, Yueqiang Wen, Xiaojiang Zhan, Fenfen Peng, Xiaoyang Wang, Juan Wu and 6 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

16 authors.

Wenlong Qiu *Department of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Rui Chu *Department of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Yaqi MaDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Jiaxin XueDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Fenfen PengDepartment of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Juan WuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ning SuDepartment of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiaoran FengDepartment of Nephrology, Jiujiang No. 1 People's Hospital, Jiujiang, China.
Xingming TangDepartment of Nephrology, DongGuan SongShan Lake Tungwah Hospital, Dongguan, China.
Xianfeng WuDepartment of Nephrology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong University, Shanghai, China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Na TianDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nutritional risk is a significant concern for patients undergoing peritoneal dialysis (PD), adversely affecting their quality of life and increasing the risk of infections and complications. Effective screening tools are needed to identify high-risk patients for targeted interventions. This study investigates whether different nutritional assessment methods, like the Controlling Nutritional Status (CONUT) score and Nutritional Risk Index (NRI), correlate with patient prognosis, highlighting the importance of selecting appropriate screening tools to improve clinical outcomes in PD patients. Methods: This multicenter retrospective cohort study initially collected data from 2,427 patients across 10 centers, but ultimately included a cohort of 2,105 PD patients to evaluate the prevalence of malnutrition assessed using both the CONUT and NRI and its independent effects on all-cause mortality. Statistical analyses included log-rank tests, Cox regression models and the receiver operating characteristic curves to evaluate the association between nutritional risk and mortality. Results: Our findings revealed that 76.58% of patients were classified as having nutritional risk according to the CONUT score, while 79.10% by the NRI. Patients with nutritional risk exhibited a significantly higher all-cause mortality rate (log-rank test, Conclusion: CONUT and NRI are effective for initial nutritional risk screening in PD patients, enabling clinicians to identify risk individuals who should undergo diagnostic assessments for a more comprehensive nutritional evaluation. Their simplicity and ease of implementation support integration into routine practice, making it feasible for healthcare providers to conduct regular screenings. Future studies should validate dynamic monitoring approaches.

Indexed as

all-cause mortalitycontrolling nutritional status scoreGLIM criteriamulticenter studynutritional risk indexnutritional risk screeningperitoneal dialysis

Identifiers

PMID40416383
PMCPMC12098072

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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.