Evidence map›Paper›PMID 37915937›Full record

ArticleClinical kidney journal2023

Epidemiology and predictors of hyponatremia in a contemporary cohort of patients with malignancy: a retrospective cohort study.

Miho Murashima, Kaori Ambe, Yuka Aoki, Takahisa Kasugai, Tatsuya Tomonari, Minamo Ono, Masashi Mizuno, Masahiro Tohkin, Takayuki Hamano

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 29% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

9 authors at 1 institution in 1 country.

Miho MurashimaDepartment of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.ORCID https://orcid.org/0000-0002-2923-0438
Kaori AmbeDepartment of Regulatory Science, Nagoya City University Graduate School of Pharmaceutical Sciences, Nagoya, Japan.
Yuka AokiDepartment of Regulatory Science, Nagoya City University Graduate School of Pharmaceutical Sciences, Nagoya, Japan.
Takahisa KasugaiDepartment of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Tatsuya TomonariDepartment of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Minamo OnoDepartment of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Masashi MizunoDepartment of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Masahiro TohkinDepartment of Regulatory Science, Nagoya City University Graduate School of Pharmaceutical Sciences, Nagoya, Japan.ORCID https://orcid.org/0000-0002-2937-8926
Takayuki HamanoDepartment of Nephrology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Nagoya City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hyponatremia is associated with worse outcomes among patients with malignancy. However, contemporary cohort data on epidemiology and risk factors are lacking. Methods: In this single-centre, retrospective cohort study, patients who received intravenous antineoplastic agents from 2018 to 2020 at Nagoya City University Hospital were enrolled. Associations of demographics, antineoplastic agents, types of malignancy and concomitant medications with hyponatremia, defined as serum sodium concentration ≤130 mmol/l, were analysed by mixed-effects logistic regression and the machine learning-based LightGBM model artificial intelligence technology. Results: Among 2644 patients, 657 (24.8%) developed at least one episode of hyponatremia. Approximately 80% of hyponatremia was due to sodium wasting from the kidneys. Variables associated with hyponatremia both by mixed-effects logistic regression and the LightGBM model were older age, hypoalbuminemia and higher estimated glomerular filtration rate. Among antineoplastic agents, cisplatin {odds ratio [OR] 1.52 [95% confidence interval (CI) 1.18-1.96]}, pembrolizumab [OR 1.42 (95% CI 1.02-1.97)] and bortezomib [OR 3.04 (95% CI 1.96-4.71)] were associated with hyponatremia and these variables also had a positive impact on predicted hyponatremia in the LightGBM model. Conclusions: Hyponatremia was common among patients with malignancy. In addition to older age and poor nutritional status, novel antineoplastic agents, including immune checkpoint inhibitors and bortezomib, should be recognized as risk factors for hyponatremia.

Indexed as

bortezomibhyponatremiaimmune checkpoint inhibitorsmachine learningmalignancy

Identifiers

PMID37915937
PMCPMC10616476
OpenAlexW4385752402

What OpenQuestion holds

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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.