Evidence map›Paper›PMID 27084516›Full record

ArticleClinical and experimental nephrology2017

Relationship between mortality and speed of eGFR decline in the 3 months prior to dialysis initiation.

Daijo Inaguma, Minako Murata, Akihito Tanaka, Hibiki Shinjo

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

4 authors.

Daijo InagumaDepartment of Nephrology, Japanese Red Cross Nagoya Daini Hospital, Nagoya, Aichi, Japan. Inaguma@nagoya2.jrc.or.jp.
Minako MurataDepartment of Nephrology, Japanese Red Cross Nagoya Daini Hospital, Nagoya, Aichi, Japan.
Akihito TanakaDepartment of Nephrology, Japanese Red Cross Nagoya Daini Hospital, Nagoya, Aichi, Japan.
Hibiki ShinjoDepartment of Nephrology, Japanese Red Cross Nagoya Daini Hospital, Nagoya, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe timing for initiating dialysis in chronic kidney disease is often determined by the clinical symptoms and estimated glomerular filtration rate (eGFR). However, very few studies have examined how the speed of kidney function decline before initiating dialysis relates to mortality after dialysis initiation. Here, we report our examination of the relationship between the speed of eGFR decline in the 3 months prior to dialysis initiation and mortality.

methodsThe study included 1292 new dialysis patients who were registered in the Aichi Cohort Study of Prognosis in Patients Newly Initiated into Dialysis. The subjects were placed in 4 groups based on the speed of eGFR decline in the 3 months before initiating dialysis (eGFR at 3 months before initiation-eGFR at initiation) <2: ≥2, <4: ≥4, <6: ≥6 mL/min/1.73 m

resultsThe group with faster eGFR decline exhibited significantly more heart failure symptoms when dialysis was initiated. Rapid eGFR decline correlated with prognosis (log-rank test: all-cause mortality p < 0.001, cardiovascular mortality p < 0.001). The speed of eGFR decline was related to elevated all-cause mortality rates [eGFR decline 10 mL/min/1.73 m

conclusionsThis study showed that patients with rapid eGFR decline in the 3 months before initiating dialysis more often presented with heart failure symptoms when dialysis was initiated and had poorer survival prognoses.

Indexed as

Glomerular Filtration RateTime-to-TreatmentAgedAged, 80 and overDisease ProgressionFemaleHealth StatusHeart FailureHumansJapanKaplan-Meier EstimateKidneyMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsChronic kidney diseaseDialysis initiationGFR declineMortality

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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.