Evidence map›Paper›PMID 19198800›Full record

SynthesisDiabetologia2009

Is hyperfiltration associated with the future risk of developing diabetic nephropathy? A meta-analysis.

G M Magee, R W Bilous, C R Cardwell, S J Hunter, F Kee, D G Fogarty

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02911792 (Effect of Farxiga on Renal Function and Size in Type 2 Diabetic Patients With Hyperfiltration), which is not on this map. Cited by 160 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 3 pooled it
9.1field-weighted citation impact, top 1% 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.

NCT02911792 phase4completedstarted 2016, after this paper: background citation

Effect of Farxiga on Renal Function and Size in Type 2 Diabetic Patients With Hyperfiltration

Ran2016Enrolled72Registered outcomes1Posted comparisons0ConditionsDiabetes Mellitus, Type 2Armsdapagliflozin, Glipizide 5 MG, Metformin
PMID 2030719PMID 20496053PMID 21606218PMID 2190281PMID 21940401PMID 22773704PMID 24334174PMID 24334175PMID 24927646PMID 3011862PMID 3712971PMID 6940408other papers from this trial
Open the trial in the graph
3 · Its place in the literature

Who cites it

160 citing papers in PubMed, 3 syntheses or guidelines pooled it, 342 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. A systematic review of glomerular hyperfiltration assessment and definition in the medical literature.Clinical journal of the American Society of Nephrology : CJASN · 2015
    Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Renal function in type 2 diabetes with rosiglitazone, metformin, and glyburide monotherapy.Clinical journal of the American Society of Nephrology : CJASN · 2011
    Trial
  11. Trial
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Pathomechanisms of Diabetic Kidney Disease.Journal of clinical medicine · 2023
    Review
  19. Article
  20. Glomerular hyperfiltration: part 2-clinical significance in children.Pediatric nephrology (Berlin, Germany) · 2023
    Review

100 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

G M MageeRegional Centre for Diabetes and Endocrinology, Level 1, Royal Victoria Hospital, Grosvenor Road, Belfast, BT12 6BA, UK. gmagee13@qub.ac.uk
R W Bilous
C R Cardwell
S J Hunter
F Kee
D G Fogarty
Queen's University Belfast · GBJames Cook University Hospital · GBUniversity of Ulster · GBVictoria Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisGlomerular hyperfiltration is a well-established phenomenon occurring early in some patients with type 1 diabetes. However, there is no consistent answer regarding whether hyperfiltration predicts later development of nephropathy. We performed a systematic review and meta-analysis of observational studies that compared the risk of developing diabetic nephropathy in patients with and without glomerular hyperfiltration and also explored the impact of baseline GFR.

methodsA systematic review and meta-analysis was carried out. Cohort studies in type 1 diabetic participants were included if they contained data on the development of incipient or overt nephropathy with baseline measurement of GFR and presence or absence of hyperfiltration.

resultsWe included ten cohort studies following 780 patients. After a study median follow-up of 11.2 years, 130 patients had developed nephropathy. Using a random effects model, the pooled odds of progression to a minimum of microalbuminuria in patients with hyperfiltration was 2.71 (95% CI 1.20-6.11) times that of patients with normofiltration. There was moderate heterogeneity (heterogeneity test p = 0.05, measure of degree of inconsistency = 48%) and some evidence of funnel plot asymmetry, possibly due to publication bias. The pooled weighted mean difference in baseline GFR was 13.8 ml min(-1) 1.73 m(-2) (95% CI 5.0-22.7) greater in the group progressing to nephropathy than in those not progressing (heterogeneity test p < 0.01). CONCLUSIONS/

interpretationIn published studies, individuals with glomerular hyperfiltration were at increased risk of progression to diabetic nephropathy using study level data. Further larger studies are required to explore this relationship and the role of potential confounding variables.

Indexed as

Glomerular Filtration RateAdolescentAdultAge of OnsetAlbuminuriaDiabetes Mellitus, Type 1Diabetic NephropathiesDisease ProgressionFollow-Up StudiesHemodynamicsHumansKidney GlomerulusPatient SelectionRisk FactorsYoung Adult

Identifiers

PMID19198800
OpenAlexW2033212729

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.