Evidence map›Paper›PMID 21611078›Full record

ArticleThe Clinical biochemist. Reviews2011

Estimating glomerular filtration rate in diabetes using serum cystatin C.

Richard J Macisaac, Erosha Premaratne, George Jerums

Abstract read
In one paragraph

Article in The Clinical biochemist. Reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Diabetic kidney disease, biomarkers, and finerenone.Diabetes, obesity & metabolism · 2026
    Review
  3. Article
  4. Review
  5. Novel Biomarkers for the diagnosis of diabetic nephropathy.Caspian journal of internal medicine · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. [Influencing factors of renal function in hypertensive patients with obstructive sleep apnea-hypopnea syndrome].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2016
    Article
  11. Use of cystatin C to inform metformin eligibility among adult veterans with diabetes.Journal of clinical & translational endocrinology · 2016
    Article
  12. Cystatin C- and Creatinine-Based Estimates of Glomerular Filtration Rate in Dapagliflozin Phase 3 Clinical Trials.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2016
    Article
  13. Correlation analysis between eGFRExperimental and therapeutic medicine · 2014
    Article
  14. Article
  15. Article
  16. 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

3 authors.

Richard J MacisaacDepartment of Endocrinology and Diabetes, St Vincent's Hospital, Fitzroy, Vic. 3065, Australia.
Erosha Premaratne
George Jerums

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a major public health problem, especially for people with diabetes. Not only is it a risk factor for end-stage renal disease (ESRD) but it is also a major cardiovascular disease (CVD) risk factor. Methods that accurately and simply estimate glomerular filtration rate (GFR) are therefore needed to optimise the detection and management of CKD in people with diabetes. One of the main failures of commonly used creatinine-based methods for estimating renal function is that they lack applicability across the full range of GFR values and underestimate GFR levels >60 mL/min/1.73m(2). Methods for accurately estimating an early pathological decline in GFR (i.e. ΔGFR >3.3 mL/min/year before reaching a GFR <60 mL/min/1.73m(2)) are especially needed as appropriate interventions have been shown to retard progression to ESRD and reduce CVD risk in people with diabetes. In contrast, recent studies have suggested that estimates of GFR based on serum cystatin C concentration might provide a simple and accurate method for detecting and monitoring an early decline in renal function.

Identifiers

PMID21611078
PMCPMC3100282

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.