Evidence map›Paper›PMID 35226215›Full record

Observational studyClinical and experimental nephrology2022

Monthly trends and seasonality of hemodialysis treatment and outcomes of newly initiated patients from the national database (NDB) of Japan.

Ryoya Tsunoda, Naohiro Mitsutake, Tomoki Ishikawa, Jumpei Sato, Kazuo Goda, Naoki Nakashima, Masaru Kitsuregawa, Kunihiro Yamagata

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Clinical and experimental nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Ryoya TsunodaFaculty of Medicine, Department of Nephrology, University of Tsukuba, 1-1-1 Tennodai, Ibaraki, Tsukuba, 305-8575, Japan.
Naohiro MitsutakeInstitute for Health Economics and Policy, Tokyo, Japan.
Tomoki IshikawaInstitute for Health Economics and Policy, Tokyo, Japan.
Jumpei SatoInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Kazuo GodaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Naoki NakashimaMedical Information Center, Kyushu University Hospital, Fukuoka, Japan.
Masaru KitsuregawaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Kunihiro YamagataFaculty of Medicine, Department of Nephrology, University of Tsukuba, 1-1-1 Tennodai, Ibaraki, Tsukuba, 305-8575, Japan. k-yamaga@md.tsukuba.ac.jp.ORCID http://orcid.org/0000-0002-7407-0410

Funding

a Grant-in-Aid for Research on Advanced Chronic Kidney Disease (REACH-J), Practical Research Project for Renal Diseases from the Japan Agency for Medical Research and Development (AMED) grant No. JP20ek0310010the Health Labour Sciences Research Grant (Research on Policy Planning and Evaluation, Ministry of Health, Labour and Welfare, Japan) JPMH201901011B
6 · The paper itself

Abstract

backgroundThe numbers of patients treated with hemodialysis (HD) in Japan are currently quantified by manual survey. As this method requires much effort from medical institutions and cannot achieve 100% response, a more practical method is required. We aimed to establish a novel method for determining the static and dynamic numbers of patients treated with HD.

methodsThis observational study used the national medical billing database (termed NDB) of Japan, based on the records of the universal healthcare insurance system. Medical billing data registered in the NDB between April 2011 and March 2015 were analyzed. From 130 billion records, we extracted and analyzed records of patients who had undergone HD at least once per month. Patients' monthly condition was classified as newly initiated HD, chronic HD, or presumed death, using conditional expressions. We also investigated renal outcome and presumed survival in newly initiated HD patients.

resultsIn the last month of the study period, 274,100 patients were identified as receiving chronic HD, which is estimated as > 95% of the number of these patients identified in the manual survey so far. The monthly data showed clear seasonality in the incidence of transient HD, which increased in winter and decreased in summer.

conclusionAnalysis of a large national database revealed a significant increase in transient HD in winter and decrease in summer. Applied to additional epidemiological exploratory studies or clinical research, this analytical technique would enable collection of the dynamics of almost all HD patients nationwide.

Indexed as

Kidney Failure, ChronicHumansJapanRenal DialysisRetrospective StudiesTreatment OutcomeAcute kidney injuryChronic kidney diseasesHemodialysisSeasonality

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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.