Evidence map›Paper›PMID 17341995›Full record

ReviewJournal of clinical hypertension (Greenwich, Conn.)2007

Microalbuminuria: what is it? Why is it important? What should be done about it? An update.

Atul Chugh, George L Bakris

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of clinical hypertension (Greenwich, Conn.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 19% 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.

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

18 citing papers in PubMed, 53 citations in OpenAlex.

  1. Trial
  2. Article
  3. Proteomic Characterization of Bottlenose Dolphin (Journal of proteome research · 2026
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  8. Review
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  13. Microalbuminuria in normal Korean children.Yonsei medical journal · 2011
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
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

2 authors at 1 institution in 1 country.

Atul ChughHypertension Center, Section of Endocrinology, Diabetes and Metabolism, University of Chicago, Pritzker School of Medicine, IL 60637, USA.
George L Bakris
University of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microalbuminuria (MA) is defined as a persistent elevation of albumin in the urine of >30 to <300 mg/d (>20 to <200 microg/min). Use of the morning spot urine test for albumin-to-creatinine measurement (mg/g) is recommended as the preferred screening strategy for all patients with diabetes and with the metabolic syndrome and hypertension. MA should be assessed annually in all patients and every 6 months within the first year of treatment to monitor the impact of antihypertensive therapy. It is an established risk marker for the presence of cardiovascular disease and predicts progression of nephropathy when it increases to frank microalbuminuria>300 mg/d. Data support the concept that the presence of MA is the kidney's warning that there is a problem with the vasculature. The presence of MA is a marker of endothelial dysfunction and a predictor of increased cardiovascular risk. MA can be reduced, and progression to overt proteinuria prevented, by aggressive blood pressure reduction, especially with a regimen based on medications that block the renin-angiotensin-aldosterone system, and control of diabetes. The National Kidney Foundation recommends that blood pressure levels be maintained at or below 130/80 mm Hg in anyone with diabetes or kidney disease.

Indexed as

AlbuminuriaBlood PressureCardiovascular DiseasesCreatinineHumansPrognosisRisk FactorsCreatinine

Identifiers

PMID17341995
PMCPMC8110171
OpenAlexW1973997307

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.