Evidence map›Paper›PMID 39608361›Full record

ArticleRenal failure2024

Assessing the predictive power of nutritional indices on all-cause and cardiovascular mortality in hemodialysis patients: a longitudinal study.

Qian Wang, Zengchun Ye, Jialing Rao, Wenbo Zhao, Jianqiang Liu, Yanru Chen, Juncheng Xiang, Xin Zhen, Jiawen Li, Yunfang Zhang and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Qian WangDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zengchun YeDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jialing RaoDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Wenbo ZhaoDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jianqiang LiuDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yanru ChenDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Juncheng XiangDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xin ZhenDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiawen LiDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yunfang ZhangDivision of Nephrology, People's Hospital of Huadu District, Guangzhou, China.
Xianrui DouDivision of Nephrology, Shunde Hospital of Southern Medical University, Foshan, China.
Zhaoyong HuNephrology Division, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Jun ZhangDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Hui PengDivision of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-0220-3616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and hypothesisThe prognostic value of nutritional scoring tools in assessing the relationship between nutritional status and prognosis in hemodialysis patients is unclear. This multicenter retrospective cohort study compared the Prognostic Nutritional Index (PNI), Controlling Nutritional Status scores (CONUT), and Geriatric Nutritional Risk Index (GNRI) for predictive accuracy of all-cause and cardiovascular mortality, especially the impact of dynamic changes over time on prognosis.

methodsHemodialysis patients from four hospitals were included. Laboratory data and nutrition scores were collected at the initiation of dialysis, and at 6th, 12th, and 18th months after dialysis initiation. A joint model analyzed the relationship between dynamic nutritional scores and prognosis. Predictive values were assessed using the area under the curve (AUC).

resultsThe study included 863 patients with a median follow-up of 37 months. During the follow-up, 23.8% of patients died, with 14% attributed to cardiovascular causes. Malnourished patients demonstrated higher risks for all-cause and cardiovascular mortality. Dynamic changes in PNI and GNRI scores were significantly associated with reduced all-cause and cardiovascular mortality risks. Precisely, longitudinal increases in PNI and GNRI scores corresponded to a 4% and 3% reduction in all-cause (PNI: HR, 0.96; 95% CI, 0.95-0.98; GNRI: HR, 0.97; 95% CI, 0.96-0.98) and cardiovascular mortality risk (PNI: HR, 0.96; 95% CI, 0.94-0.98; GNRI: HR, 0.97; 95% CI, 0.95-0.98) respectively, with longer dialysis duration. Changes in CONUT scores were not significantly associated with either all-cause or cardiovascular mortality. The AUCs of the three joint models indicated that the GNRI score (0.893) possessed higher predictive accuracy for all-cause mortality compared to PNI (0.832) and CONUT (0.852). Similar trends were observed for cardiovascular mortality.

conclusionNutritional scores and their dynamic changes are intimately associated with mortality risk in hemodialysis patients. Compared to PNI and CONUT, the baseline GNRI and its post-dialysis variations demonstrate a superior predictive capability for all-cause and cardiovascular mortality in these patients.

Indexed as

Cardiovascular DiseasesKidney Failure, ChronicNutritional StatusNutrition AssessmentRenal DialysisAgedCause of DeathFemaleHumansLongitudinal StudiesMaleMalnutritionMiddle AgedPredictive Value of TestsPrognosisRetrospective Studieshemodialysismortalityobjective nutritional scoresprognostic value

Identifiers

PMID39608361
PMCPMC11610283

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.