Evidence map›Paper›PMID 38172723›Full record

ArticleBMC nephrology2024

Changes in estimated glomerular filtration rate before and after the first visit for atrial fibrillation.

Ryobun Yasuoka, Hiroyuki Sakurane, Mana Okune, Motohide Tanaka, Tomoya Nagano, Masahiro Maruyama, Gaku Nakazawa, Takashi Kurita

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Ryobun YasuokaDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan. ryasuoka@med.kindai.ac.jp.
Hiroyuki SakuraneDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan.
Mana OkuneDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan.
Motohide TanakaDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan.
Tomoya NaganoDivision of Cardiology, Kiwa Hospital, 18-1 Kisikami, 648-0085, Hashimoto, Wakayama, Japan.
Masahiro MaruyamaDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan.
Gaku NakazawaDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan.
Takashi KuritaDivision of Cardiology, Department of Medicine, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, 589-8511, Osakasayama, Osaka, Japan.
Kindai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the development of atrial fibrillation (AF) and the progression of chronic kidney disease are known to be interrelated, it remains unclear when and how renal function changes during the clinical course of AF.

methodsThis study retrospectively enrolled 131 patients who were able to collect data on estimated glomerular filtration rate (eGFR) at least five times during the 500 days before and 500 days after the first visit (baseline) of new-onset AF, respectively. To investigate the temporal relationship between the development of AF and the beginning of worsening renal function (WRF), a piecewise regression model was applied to the eGFR time series data. The time point at which the slopes of the two regression lines changed (inflection -point), the slope before and after the inflection-point (β1 and β2, respectively), and the difference in slope (Δβ) were estimated. The presence of WRF was defined as having the inflection-point at which both Δβ and β2 were < - 0.0083 mL/min/1.73 m

resultsWRF was detected in 54 (41.2%) patients. The beginning of WRF were distributed at various times, but most frequently (23 of 54 patients) within 100 days before and after baseline. The presence of WRF was not associated with age, heart failure, or baseline eGFR, but was associated with positive β1 (odds ratio 30.5, 95% confidence interval 11.1-83.9, P < 0.01).

conclusionIn nearly half of AF patients with WRF, the beginning of WRF was observed within a few months before or after the first visit for AF. Patients with a positive eGFR slope before the onset of AF are more likely to develop WRF after the onset of AF, suggesting that potential kidney damage may be underlying.

Indexed as

Atrial FibrillationHeart FailureRenal Insufficiency, ChronicGlomerular Filtration RateHumansRetrospective StudiesAtrial fibrillationInflection-pointWorsening renal function

Identifiers

PMID38172723
PMCPMC10765634
OpenAlexW4390535701

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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.