Evidence map›Paper›PMID 38860190›Full record

ArticleCanadian journal of kidney health and disease2024

Association of Glomerular Filtration Rate Decline With Clinical Outcomes in a Population With Type 2 Diabetes.

Scott W Klarenbach, David Collister, Natasha Wiebe, Aminu Bello, Stephanie Thompson, Neesh Pannu

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Scott W KlarenbachDepartment of Medicine, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0002-8611-1056
David CollisterDepartment of Medicine, University of Alberta, Edmonton, Canada.
Natasha WiebeDepartment of Medicine, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0002-5613-1582
Aminu BelloDepartment of Medicine, University of Alberta, Edmonton, Canada.
Stephanie ThompsonDepartment of Medicine, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0003-3109-6837
Neesh PannuDepartment of Medicine, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0002-8626-8504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While historical rate of decline in kidney function is informally used by clinicians to estimate risk of future adverse clinical outcomes especially kidney failure, in people with type 2 diabetes the epidemiology and independent association of historical eGFR slope on risk is not well described. Objective: Determine the association of eGFR slope and risk of clinically important outcomes. Design Setting and Patients: Observational population-based cohort with type 2 diabetes in Alberta. Measurement and Methods: An Alberta population-based cohort with type 2 diabetes was assembled, characterized, and observed over 1 year (2018) for clinical outcomes of ESKD, first myocardial infarction, first stroke, heart failure, and disease-specific and all-cause hospitalization and mortality. Kidney function was defined using KDIGO criteria using the most recent eGFR and albuminuria measured in the preceding 18 months; annual eGFR slope utilized measurements in the 3 years prior and was parameterized using three methods (percentiles, and linear term with and without missingness indicator). Demographics, laboratory results, medications, and comorbid conditions using validated definitions were described. In addition to descriptive analysis, odds ratios from fully adjusted logistic models regressing outcomes on eGFR slope are reported; the marginal risk of clinical outcomes was also determined. Results: Among 336 376 participants with type 2 diabetes, the median annual eGFR slope was -0.41 mL/min/1.73 m Limitations: Causality cannot be established with this study design. Conclusions: These findings support consideration of the rate of eGFR decline in risk stratification and may inform clinicians and policymakers to optimize treatment and inform health care system planning.

Indexed as

cardiovascular eventseGFR slopehospitalizationkidney failurelogistic modelstype 2 diabetes

Identifiers

PMID38860190
PMCPMC11163929

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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.