ArticleInternational urology and nephrology2025
Identifying influencing factors and constructing a prediction model for long COVID-19 in hemodialysis patients.
Article in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Letter to: identifying influencing factors and constructing a prediction model for long COVID-19 in hemodialysis patients.International urology and nephrology · 2026Article
Corrections and comments
- Commented on by
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to identify the potential influencing factors and construct a prediction model for long COVID in hemodialysis patients.
methodsWe retrospectively reviewed 115 patients undergoing hemodialysis in a tertiary hospital between December 2022 and January 2023. Both univariate and multivariate logistic regression models were applied to identify potential influencing factors, and the prediction model was constructed using an ROC curve.
resultsOf the 115 included patients, 60 experienced long COVID, with a prevalence of 52.2%. The univariate analysis found that a three-dose COVID-19 vaccination was associated with a reduced risk of long COVID (OR: 0.10; 95%CI: 0.01-0.86; P = 0.036). However, severe COVID (OR: 9.49; 95%CI: 1.14-78.90; P = 0.037), undergoing CT examination (OR: 3.01; 95%CI: 1.34-6.78; P = 0.008), and abnormal neutrophil (OR: 5.95; 95%CI: 1.26-28.19; P = 0.025), and platelet (OR: 2.39; 95%CI: 1.11-5.13; P = 0.025) counts were associated with a higher risk of long COVID. After adjusting for potential confounding factors, undergoing CT examination (OR: 2.60; 95%CI: 1.02-6.64; P = 0.046) and having abnormal neutrophil (OR: 8.16; 95%CI: 1.57-42.38; P = 0.013) and monocyte (OR: 17.77; 95%CI: 1.30-242.29; P = 0.031) counts were associated with a higher risk of long COVID. The prediction model constructed based on these factors showed a relatively better predictive value (AUC: 0.738; 95%CI: 0.648-0.828; P < 0.001).
conclusionsThe risk of long COVID-19 in hemodialysis patients was significantly related to undergoing CT examination and having abnormal neutrophil and monocyte counts, and the prediction model constructed using these factors showed a moderate predictive value.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.