Evidence map›Paper›PMID 41889513›Full record

ArticleFrontiers in medicine2026

Association between hemoglobin variability and mortality in hemodialysis patients: a retrospective cohort study.

Zhizhen Zhou, Feng Wang, Sisi Lin, Dieyu Ma, Conghua Ji

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. 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

5 authors.

Zhizhen Zhou *School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Feng Wang *Department of Nephrology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
Sisi LinSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Dieyu MaSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
Conghua JiSchool of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients undergoing hemodialysis (HD) face high mortality rates. Monitoring specific laboratory parameters and their derivatives, including hemoglobin (Hb) and its variability, is crucial for improving clinical management and patient outcomes. However, the association between hemoglobin variability and mortality in HD patients remains controversial. Methods: A total of 652 HD patients treated at Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University were included based on predefined criteria. Patients were divided into survival group and death group based on mortality status during the study period for univariate analysis. Based on univariate results, the following parameters representing Hb variability (Hb-Var) were studied: Hb standard deviation (SD), Hb residual SD, Hb coefficient of variation (CV), and Hb abnormal ratio. Cut-off values for each parameter were determined using ROC curves. Patients were stratified into high-risk group and low-risk group based on these cut-off values. Survival analysis was performed using multivariable Cox regression to obtain hazard ratios (HRs) and Results: The results of univariate analysis showed that there were statistically significant differences in age ( Conclusion: Hb-Var included Hb abnormal ratio, Hb residual SD and Hb CV are independent factors associated with mortality in hemodialysis patients.

Indexed as

coefficient of variationhemodialysishemoglobinmortalityprognosis

Identifiers

PMID41889513
PMCPMC13015191

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.