Evidence map›Paper›PMID 39427118›Full record

ArticleBMC nephrology2024

Platelet-to-albumin ratio: a potential biomarker for predicting all-cause and cardiovascular mortality in patients undergoing peritoneal dialysis.

Huijuan Ma, Jiexin Chen, Xiaojiang Zhan, Shuilian Ao, Jihong Deng, Ruiying Tang, Fenfen Peng, Na Tian, Yueqiang Wen, Xiaoyang Wang and 6 more

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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.

Huijuan Ma *Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Jiexin Chen *Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Xiaojiang ZhanDepartment of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Shuilian AoDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Jihong DengDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Ruiying TangDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
Fenfen PengDepartment of Nephrology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Na TianDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Yueqiang WenDepartment of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xiaoyang WangDepartment of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoran FengDepartment of Nephrology, Jiujiang No. 1 people's Hospital, Jiujiang, China.
Ning SuDepartment of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xingming TangDepartment of Nephrology, DongGuan SongShan Lake Tungwah Hospital, DongGuan, China.
Xianfeng WuDepartment of Nephrology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong Univeristy, Shanghai, China.
Qian ZhouDepartment of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen Univeristy, Guangzhou, China.
Qingdong XuDepartment of Nephrology, Jiangmen Central Hospital, Jiangmen, China. xqd82@163.com.

Funding

Project of Jiangmen Science and Technology Bureau, China No. 2024YL01002Project of Jiangmen Science and Technology Bureau, China No. 2024YL01004
6 · The paper itself

Abstract

backgroundAlthough peritoneal dialysis (PD) is an efficient therapy for renal replacement, the long-term survival rate of patients undergoing PD remains low. The platelet-to-albumin ratio (PAR), recently identified as a parameter of inflammatory and nutritional status, is associated with an adverse prognosis for various diseases. However, the association between the serum PAR and prognosis of patients undergoing PD is poorly understood. This study aimed to evaluate whether the PAR is a reliable predictor of cardiovascular disease (CVD) and all-cause mortality in patients undergoing PD.

methodsThis multicenter cohort study enrolled patients undergoing PD from January 1, 2009, to September 30, 2018. The patients were divided into four groups according to the quartiles of their baseline PAR. The primary endpoint was all-cause and CVD-related mortality. Cox proportional hazard models were used to determine the association between the PAR and all-cause or CVD-related mortality. The receiver operating characteristic (ROC) curve was utilized to compare the performance among PAR and other inflammatory indicators. C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were applied to examine the incremental prognostic value of PAR compared with baseline model for predicting all-cause and CVD mortality.

resultsA total of 2825 patients were included. During the follow-up period of 47.5 ± 28.3 months, 747 (26.4%) mortality cases were observed, of which 415 (55.6%) were CVD-related. Compared with the Q1 (PAR < 4.43), placement in Q4 (PAR > 7.27) was associated with an increased risk of all-cause mortality and CVD mortality (p < 0.001). The adjusted restricted cubic spline analysis indicated that the relationship of the PAR with all-cause and cardiovascular mortality was linear (p for nonlinearity = 0.289 and 0.422, respectively). No positive correlations were shown in the interaction tests. PAR exhibited superior predictive value for mortality compared to other inflammatory indicators, with a respective AUC value of 0.611 (P < 0.001) for all-cause mortality and 0.609 (P < 0.001) for cardiovascular mortality. According to the C-statistic, continuous NRI and IDI, the addition of PAR to the baseline model yielded a moderate but significant improvement in outcome prediction.

conclusionsThe PAR is an independent prognostic factor associated with all-cause and cardiovascular mortality in patients undergoing PD.

Indexed as

BiomarkersCardiovascular DiseasesPeritoneal DialysisAgedBlood PlateletsCause of DeathCohort StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedPredictive Value of TestsPrognosisSerum AlbuminBiomarkersSerum AlbuminBiomarkerPeritoneal dialysisPlatelet-to-albumin ratio

Identifiers

PMID39427118
PMCPMC11490134

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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 OpenQuestion graph.