Evidence map›Paper›PMID 41267010›Full record

ArticleBMC nephrology2025

Total bilirubin as a mortality predictor in non-elderly hemodialysis patients: a multicenter retrospective cohort study.

Yuyang Chen, Haowen Zhang, Hongyan Liu, Jialong Zhang, Xuan Dai, Wenjing Dong, Qingqing Liu, Liping Zhu, Yefan Zhang, Xue Zhou and 11 more

Abstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

21 authors.

Yuyang Chen *NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China.
Haowen Zhang *Nephrology Department, Chongqing Fuling Hospital, School of Medicine, Chongqing University, Chongqing, China.
Hongyan LiuNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China.
Jialong ZhangDepartment of Blood Purification, PKUCare CNOOC Hospital, Tianjin, 300457, China.
Xuan DaiDepartment of Blood Purification, Tianjin Hospital of ITCWM Nankai Hospital, Tianjin, 300100, China.
Wenjing DongDepartment of Blood Purification, Tianjin Wuqing District People's Hospital, Tianjin, 301700, China.
Qingqing LiuDepartment of Blood Purification, Tianjin Wuqing District Traditional Chinese Medicine Hospital, Tianjin, 301700, China.
Liping ZhuDepartment of Nephrology, Characteristic Medical Center of Chinese People's Armed Police Forces, Tianjin, 300162, China.
Yefan ZhangDepartment of Nephrology, Tianjin Second People's Hospital, Tianjin, 300100, China.
Xue ZhouDepartment of Nephrology, Tianjin Haihe Hospital, Tianjin, 300350, China.
Li ChengSchool of Medical Imaging, Hebei Medical University, Shijiazhuang, China.
Xiaoyan LuDepartment of Blood Purification, Tianjin Wuqing District Traditional Chinese Medicine Hospital, Tianjin, 301700, China.
Haixia YangDepartment of Blood Purification, Tianjin Wuqing District People's Hospital, Tianjin, 301700, China.
Qian LiuDepartment of Nephrology, Characteristic Medical Center of Chinese People's Armed Police Forces, Tianjin, 300162, China.
Jie SongDepartment of Nephrology, Characteristic Medical Center of Chinese People's Armed Police Forces, Tianjin, 300162, China.
Qian LiDepartment of Nephrology, Tianjin Second People's Hospital, Tianjin, 300100, China.
Jiarui LiDepartment of Blood Purification, Tianjin Hospital of ITCWM Nankai Hospital, Tianjin, 300100, China.
Haihua SuDepartment of Blood Purification, PKUCare CNOOC Hospital, Tianjin, 300457, China.
Xinchao TaoDepartment of Blood Purification, 983rd Hospital of the People's Liberation Army, Tianjin, 300143, China.
Aijie ShiDepartment of Blood Purification, Tianjin Dongli Hospital, Tianjin, 300300, China. shiaijie9122@sina.com.
Pei YuNHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, 300134, China. yupei@tmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between serum total bilirubin (TBIL) levels and mortality in maintenance hemodialysis (MHD) patients, especially when stratified by age, has not been clearly established.

methodsWe performed a multicenter retrospective analysis of 409 MHD patients (40 deaths, 9.8%) over a median follow-up of 31.3 months (interquartile range (IQR), 28.9-31.8). Cox regression models evaluated TBIL's predictive role for mortality. Receiver operating characteristic (ROC) curve-derived cutoff (8.79 µmol/L) stratified patients into high (H, TBIL > 8.79 µmol/L, n = 236) and low (L, TBIL ≤ 8.79 µmol/L, n = 173) groups. Multivariable Cox models adjusted for demographics, comorbidities (Model 2), and laboratory markers (Model 3). Additionally, to mitigate overfitting and assess the linear relationship, a LASSO-penalized Cox model was employed, treating TBIL as a continuous variable. Kaplan-Meier analysis compared survival rates, with age subgroup comparisons.

resultsSignificant differences emerged between H and L groups in hypertension history, platelet count, total protein, blood urea nitrogen, triglycerides, and total cholesterol (all P < 0.05). Adjusted models revealed elevated mortality risk in high TBIL patients (HR = 6.92, 95%CI 3.10-15.43, P < 0.001). Consistently, in the continuous analysis, each 1 µmol/L increase in TBIL was associated with a 26% increased mortality risk (HR = 1.26, 95%CI 1.16-1.38, P < 0.001). Age-stratified analysis revealed substantially increased mortality risk in non-elderly high-TBIL patients (HR = 12.82, 95%CI 3.76-43.76, P < 0.001), but no significant association in elderly patients (HR = 2.00, 95%CI 0.83-4.81, P = 0.12).

conclusionTBIL independently predicts all-cause mortality in MHD patients, with exploratory evidence suggesting potentially stronger association in non-elderly patients.

Indexed as

BilirubinKidney Failure, ChronicRenal DialysisAgedAge FactorsBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesBilirubinBiomarkersAgingBilirubinHemodialysisMortalityPrognostic biomarkerRetrospective cohort

Identifiers

PMID41267010
PMCPMC12632052

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