Evidence map›Paper›PMID 33187480›Full record

ArticleBMC nephrology2020

Age differences in the relationships between risk factors and loss of kidney function: a general population cohort study.

Tadashi Toyama, Kiyoki Kitagawa, Megumi Oshima, Shinji Kitajima, Akinori Hara, Yasunori Iwata, Norihiko Sakai, Miho Shimizu, Atsushi Hashiba, Kengo Furuichi and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Tadashi ToyamaDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan. t-toyama@staff.kanazawa-u.ac.jp.ORCID 0000-0003-0162-6286
Kiyoki KitagawaDivision of Internal Medicine, National Hospital Organization Kanazawa Medical Center, Kanazawa, Japan.
Megumi OshimaDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Shinji KitajimaDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Akinori HaraDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Yasunori IwataDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Norihiko SakaiDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Miho ShimizuDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Atsushi HashibaKanazawa Medical Association, Kanazawa, Japan.
Kengo FuruichiDepartment of Nephrology, Kanazawa Medical University School of Medicine, Uchinada, Japan.
Takashi WadaDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Kanazawa University · JPKanazawa Medical Center · JPKanazawa Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnnual decline in kidney function is a widely applied surrogate outcome of renal failure. It is important to understand the relationships between known risk factors and the annual decline in estimated glomerular filtration rate (eGFR) according to baseline age; however, these remain unclear.

methodsA community-based retrospective cohort study of adults who underwent annual medical examinations between 1999 and 2013 was conducted. The participants were stratified into different age groups (40-49, 50-59, 60-69, 70-79, and ≥ 80 years) to assess the risk for loss of kidney function. A mixed-effects model was used to estimate the association between risk factors and annual changes in eGFR.

resultsIn total, 51,938 participants were included in the analysis. The age group of ≥80 years included 8127 individuals. The mean annual change in eGFR was - 0.39 (95% confidence interval: - 0.41 to - 0.37) mL/min/1.73 m

conclusionsHigher systolic blood pressure, proteinuria, and smoking were related to faster loss of kidney function, and a greater effect size was observed in the older participants. More risk assessments for older people are required for personalized care.

Indexed as

Age FactorsAdultAgedAged, 80 and overCardiovascular DiseasesDiabetes ComplicationsFemaleGlomerular Filtration RateHumansHypertensionMaleMiddle AgedProteinuriaRenal Insufficiency, ChronicRetrospective StudiesRisk FactorsAgedChronic renal insufficiencyGlomerular filtration rate

Identifiers

PMID33187480
PMCPMC7664087
OpenAlexW3106131192

What OpenQuestion holds

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LicenceCC BY
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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.