Evidence map›Paper›PMID 25885708›Full record

ArticleBMC nephrology2015

Variability in estimated glomerular filtration rate values is a risk factor in chronic kidney disease progression among patients with diabetes.

Chin-Lin Tseng, Jean-Philippe Lafrance, Shou-En Lu, Orysya Soroka, Donald R Miller, Miriam Maney, Leonard M Pogach

Abstract readComparative Study
In one paragraph

Article in BMC nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  12. Estimated GFR Variability and Risk of Cardiovascular Events and Mortality in SPRINT (Systolic Blood Pressure Intervention Trial).American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
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  18. High serum creatinine nonlinearity: a renal vital sign?American journal of physiology. Renal physiology · 2016
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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

7 authors.

Chin-Lin TsengDepartment of Veteran Affairs-New Jersey Health Care System, 385 Tremont Avenue, Mail Stop#15, East Orange, NJ, 07018, USA. chin-lin.tseng@va.gov.
Jean-Philippe LafranceDepartment of Medicine, University of Montreal, Montreal, QC, Canada. jean-philippe.lafrance@umontreal.ca.
Shou-En LuDepartment of Biostatistics, Rutgers School of Public Health, Piscataway, NJ, USA. sl1020@sph.rutgers.edu.
Orysya SorokaDepartment of Veteran Affairs-New Jersey Health Care System, 385 Tremont Avenue, Mail Stop#15, East Orange, NJ, 07018, USA. Orysya.soroka@va.gov.
Donald R MillerBedford VA Medical Center, Center for Health Quality, Outcomes and Economic Research, Bedford, MA, USA. drmiller@bu.edu.
Miriam ManeyDepartment of Veteran Affairs-New Jersey Health Care System, 385 Tremont Avenue, Mail Stop#15, East Orange, NJ, 07018, USA. Miriam.maney@va.gov.
Leonard M PogachDepartment of Veteran Affairs-New Jersey Health Care System, 385 Tremont Avenue, Mail Stop#15, East Orange, NJ, 07018, USA. leonard.pogach@va.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is unknown whether variability of estimated Glomerular Filtration Rate (eGFR) is a risk factor for dialysis or death in patients with chronic kidney disease (CKD). This study aimed to evaluate variability of estimated Glomerular Filtration Rate (eGFR) as a risk factor for dialysis or death to facilitate optimum care among high risk patients.

methodsA longitudinal retrospective cohort study of 70,598 Veterans Health Administration veteran patients with diabetes and CKD (stage 3-4) in 2000 with up to 5 years of follow-up. VHA and Medicare files were linked to derive study variables. We used Cox proportional hazards models to evaluate association between time to initial dialysis/death and key independent variables: time-varying eGFR variability (measured by standard deviation (SD)) and eGFR means and slopes while adjusting for prior hospitalizations, and comorbidities.

resultsThere were 76.7% older than 65 years, 97.5% men, and 81.9% Whites. Patients were largely in early stage 3 (61.2%), followed by late stage 3 (28.9%), and stage 4 (9.9%); 29.1%, 46.8%, and 73.3%, respectively, died or had dialysis during the follow-up. eGFR SDs (median: 5.8, 5.1, and 4.0 ml/min/1.73 m(2)) and means (median: 54.1, 41.0, 27.2 ml/min/1.73 m(2)) from all two-year moving intervals decreased as CKD advanced; eGFR variability (relative to the mean) increased when CKD progressed (median coefficient of variation: 10.9, 12.8, and 15.4). Cox regressions revealed that one unit increase in a patient's standard deviation of eGFRs from prior two years was significantly associated with about 7% increase in risk of dialysis/death in the current year, similarly in all three CKD stages. This was after adjusting for concurrent means and slopes of eGFRs, demographics, prior hospitalization, and comorbidities. For example, the hazard of dialysis/death increased by 7.2% (hazard ratio:1.072; 95% CI = 1.067, 1.080) in early stage 3.

conclusioneGFR variability was independently associated with elevated risk of dialysis/death even after controlling for eGFR means and slopes.

Indexed as

Cause of DeathAgedAged, 80 and overAge FactorsCohort StudiesDiabetes MellitusDiabetic NephropathiesDisease ProgressionFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedPrognosisProportional Hazards Models

Identifiers

PMID25885708
PMCPMC4377072

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.