ArticleJournal of clinical laboratory analysis2020
Effect factors related to a high probability of hemodialysis independence in newly diagnosed multiple myeloma patients requiring hemodialysis.
Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Equecabtagene autoleucel as sequential therapy in a multiple myeloma patient with renal failure: a case report.Frontiers in medicine · 2026Article
- Fanconi syndrome developing and worsening during anti-myeloma therapy in multiple myeloma: a case report and literature review.Frontiers in oncology · 2026Article
- Clinicopathologic predictors of renal response and survival in newly diagnosed multiple myeloma with renal injury: a retrospective study.Clinical and experimental medicine · 2025Article
- Circulating miRNAs as diagnostic biomarkers for multiple myeloma and monoclonal gammopathy of undetermined significance.Journal of clinical laboratory analysis · 2020Article
- Effect factors related to a high probability of hemodialysis independence in newly diagnosed multiple myeloma patients requiring hemodialysis.Journal of clinical laboratory analysis · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundRenal failure is a severe complication of symptomatic myeloma, related to higher mortality. Recovery from dialysis dependence can lead to enormous survival benefits. We investigated the effect factors for probability of dialysis independence.
methodsRetrospective data on 45 newly diagnosed MM (NDMM) patients with serious renal impairment and requiring hemodialysis were analyzed. The statistical methods including logistic regression analysis, Kaplan-Meier survival curves, the log-rank test and the Cox proportional hazards model for survival analysis were used in our study.
resultsTwenty-two of the 45 patients, who were on hemodialysis at diagnosis, became dialysis independence. In the logistic regression analysis, serum level of β2-microglobulin, kidney disease history, involved free light chain, and achieving at least VGPR were significantly associated with reversibility from dialysis dependence. In addition, achieving hemodialysis discontinuation was related to better survival. The multivariate analyses demonstrated that reversibility from dialysis dependence, proteinuria < 3.5 g/24 h, and achieving at least VGPR were significantly associated with OS among NDMM patients requiring hemodialysis.
conclusionLower serum level of β2-microglobulin and lower level of free light chain at diagnosis, achieving at least VGPR, and shorter kidney disease history are related to a high probability of dialysis independence in NDMM patients with serious renal failure requiring dialysis.
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.