Evidence map›Paper›PMID 34603698›Full record

ArticleClinical kidney journal2021

Anemia and atrial fibrillation as independent risk factors for new-onset chronic kidney disease: the TAMA-MED Project-CKD and AF.

Tomohiro Kaneko, Eitaro Kodani, Hitomi Fujii, Risa Asai, Miyako Seki, Rei Nakazato, Hiroyuki Nakamura, Hajime Sasabe, Yutaka Tamura

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 7 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

9 authors at 3 institutions in 1 country.

Tomohiro KanekoDepartment of Nephrology, Nippon Medical School Tama-Nagayama Hospital, Tokyo, Japan.
Eitaro KodaniDepartment of Cardiovascular Medicine, Nippon Medical School Tama-Nagayama Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4271-3186
Hitomi FujiiTAMA CITY Medical Association, Tokyo, Japan.
Risa AsaiDepartment of Nephrology, Nippon Medical School Tama-Nagayama Hospital, Tokyo, Japan.
Miyako SekiDepartment of Nephrology, Nippon Medical School Tama-Nagayama Hospital, Tokyo, Japan.
Rei NakazatoDepartment of Nephrology, Nippon Medical School Tama-Nagayama Hospital, Tokyo, Japan.
Hiroyuki NakamuraTAMA CITY Medical Association, Tokyo, Japan.
Hajime SasabeTAMA CITY Medical Association, Tokyo, Japan.
Yutaka TamuraTAMA CITY Medical Association, Tokyo, Japan.
Nippon Medical School · JPTokyo Metropolitan Tama Medical Center · JPMirai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious risk factors have been identified for the new onset or rapid deterioration of chronic kidney disease (CKD). However, it is thought that many risk factors that have not yet been clarified remain.

methodsBased on the results of specific annual health checkups at Tama City (

resultsMultivariate analysis showed that in addition to age and impaired glucose tolerance, anemia and atrial fibrillation (AF) were risk factors for the new appearance of proteinuria. Risk factors for a decrease in eGFR to <60 mL/min/1.73 m

conclusionsFrom the results of specific annual health checkups at Tama City, AF, anemia and hyperuricemia were identified as risk factors for new-onset CKD over a short period of 1 year. Anemia was also a factor for the rapid deterioration of kidney function in subjects with renal dysfunction.

Indexed as

anemiaatrial fibrillationchronic kidney diseasehyperuricemiaspecific annual health checkups

Identifiers

PMID34603698
PMCPMC8483686
OpenAlexW3125352413

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.