Evidence map›Paper›PMID 38603695›Full record

ArticlePloS one2024

Development of a prognostic risk score to predict early mortality in incident elderly Japanese hemodialysis patients.

Hirokazu Okada, Atsushi Ono, Koji Tomori, Tsutomu Inoue, Norio Hanafusa, Ken Sakai, Ichiei Narita, Toshiki Moriyama, Yoshitaka Isaka, Kei Fukami and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
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

13 authors at 9 institutions in 1 country.

Hirokazu OkadaDepartment of Nephrology, Saitama Medical University, Irumagun, Japan.ORCID 0000-0002-1839-9078
Atsushi OnoDepartment of Nephrology, Saitama Medical University, Irumagun, Japan.
Koji TomoriDepartment of Nephrology, Saitama Medical University, Irumagun, Japan.
Tsutomu InoueDepartment of Nephrology, Saitama Medical University, Irumagun, Japan.
Norio HanafusaDepartment of Medicine, Blood Purification, Tokyo Women's Medical University, Tokyo, Japan.
Ken SakaiDepartment of Nephrology, Toho University, Tokyo, Japan.
Ichiei NaritaDivision of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.ORCID 0000-0001-7692-3096
Toshiki MoriyamaHealth and Counseling Center, Osaka University, Osaka, Japan.
Yoshitaka IsakaDepartment of Nephrology, Osaka University Graduate School of Medicine, Osaka, Japan.
Kei FukamiDepartment Medicine, Division of Nephrology, Kurume University School of Medicine, Fukuoka, Japan.
Seiji ItanoDepartment of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, Japan.
Eiichiro KandaDepartment of Medical Science, Kawasaki Medical School, Kurashiki, Japan.
Naoki KashiharaDepartment of Medical Science, Kawasaki Medical School, Kurashiki, Japan.
Kawasaki Medical School · JPSaitama Medical University · JPFuji Heavy Industries Health Insurance Society Ota Memorial Hospital · JPKurume University · JPNiigata University · JPOsaka Health Science University · JPThe University of Osaka · JPToho University · JPTokyo Women's Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation of short-term prognosis after hemodialysis (HD) introduction is important for elderly patients with chronic kidney disease (CKD) and their families choosing a modality of renal replacement therapy. Therefore, we developed a risk score to predict early mortality in incident elderly Japanese hemodialysis patients. MATERIALS AND

methodsWe analyzed data of incident elderly HD patients from a nationwide cohort study of the Japanese Society for Dialysis Therapy Renal Data Registry (JRDR) to develop a prognostic risk score. Candidate risk factors for early death within 1 year was evaluated using multivariate logistic regression analysis. The risk score was developed by summing up points derived from parameter estimate values of independent risk factors. The association between risk score and early death was tested using Cox proportional hazards models. This risk score was validated twice by using an internal validation cohort derived from the JRDR and an external validation cohort collected for this study.

resultsUsing the development cohort (n = 2,000), nine risk factors were retained in the risk score: older age (>85), yes = 2, no = 0; sex, male = 2, female = 0; lower body mass index (<20), yes = 2, no = 0; cancer, yes = 1, no = 0; dementia, yes = 3, no = 0; lower creatinine (<6.5 mg/dL), yes = 1, no = 0; lower albumin (<3.0 g/dL), yes = 3, no = 0; normal or high calcium (≥8.5 mg/dL), yes = 1, no = 0; and higher C reactive protein (>2.0 mg/dL), yes = 2, no = 0. In the internal and external validation cohorts (n = 739, 140, respectively), the medium- and high-risk groups (total score, 6 to 10 and 11 or more, respectively) showed significantly higher risk of early death than the low-risk group (total score, 0 to 5) (p<0.001).

conclusionWe developed a prognostic risk score predicting early death within 1 year in incident elderly Japanese HD patients, which may help detect elderly patients with a high-risk of early death after HD introduction.

Indexed as

Kidney Failure, ChronicAgedCohort StudiesFemaleHumansJapanMalePrognosisRenal DialysisRisk Factors

Identifiers

PMID38603695
PMCPMC11008820
OpenAlexW4394710964

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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.