Evidence map›Paper›PMID 35864124›Full record

ArticleScientific reports2022

A simplified prediction model for end-stage kidney disease in patients with diabetes.

Toyoshi Inoguchi, Tasuku Okui, Chinatsu Nojiri, Erina Eto, Nao Hasuzawa, Yukihiro Inoguchi, Kentaro Ochi, Yuichi Takashi, Fujiyo Hiyama, Daisuke Nishida and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

16 authors.

Toyoshi Inoguchi *Fukuoka City Health Promotion Support Center, Fukuoka City Medical Association, Maizuru 2-5-1, Chuou-ku, Fukuoka, 810-0073, Japan. toyoshi.inoguchi@gmail.com.
Tasuku Okui *Medical Information Center, Kyushu University Hospital, Fukuoka, 812-8582, Japan.
Chinatsu NojiriMedical Information Center, Kyushu University Hospital, Fukuoka, 812-8582, Japan.
Erina EtoDepartment of Diabetes and Endocrinology, Saga-Ken Medical Centre Koseikan, Saga, 840-8571, Japan.
Nao HasuzawaDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kurume University School of Medicine, Kurume, 830-0011, Japan.
Yukihiro InoguchiDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kurume University School of Medicine, Kurume, 830-0011, Japan.
Kentaro OchiDepartment of Endocrinology and Diabetes Mellitus, Fukuoka University Chikushi Hospital, Chikushino, 818-8502, Japan.
Yuichi TakashiDepartment of Endocrinology and Diabetes Mellitus, School of Medicine, Fukuoka University, Fukuoka, 814-0180, Japan.
Fujiyo HiyamaCarna Health Support, Co., Ltd., Fukuoka, 810-0054, Japan.
Daisuke NishidaCarna Health Support, Co., Ltd., Fukuoka, 810-0054, Japan.
Fumio UmedaYukuhashi Central Hospital, Yukuhashi, 824-0031, Japan.
Teruaki YamauchiYukuhashi Central Hospital, Yukuhashi, 824-0031, Japan.
Daiji KawanamiDepartment of Endocrinology and Diabetes Mellitus, School of Medicine, Fukuoka University, Fukuoka, 814-0180, Japan.
Kunihisa KobayashiDepartment of Endocrinology and Diabetes Mellitus, Fukuoka University Chikushi Hospital, Chikushino, 818-8502, Japan.
Masatoshi NomuraDivision of Endocrinology and Metabolism, Department of Internal Medicine, Kurume University School of Medicine, Kurume, 830-0011, Japan.
Naoki NakashimaMedical Information Center, Kyushu University Hospital, Fukuoka, 812-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to develop a simplified model for predicting end-stage kidney disease (ESKD) in patients with diabetes. The cohort included 2549 individuals who were followed up at Kyushu University Hospital (Japan) between January 1, 2008 and December 31, 2018. The outcome was a composite of ESKD, defined as an eGFR < 15 mL min

Indexed as

Diabetes MellitusKidney Failure, ChronicRenal Insufficiency, ChronicBilirubinDisease ProgressionGlomerular Filtration RateGlycated HemoglobinHumansProteinuriaRenal DialysisRisk FactorsSerum AlbuminBilirubinGlycated HemoglobinSerum Albumin

Identifiers

PMID35864124
PMCPMC9304378

What OpenQuestion holds

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Registered trials

None linked

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.