Evidence map›Paper›PMID 26981514›Full record

ArticleJournal of bone metabolism2016

The Association between Urine Albumin to Creatinine Ratio and Osteoporosis in Postmenopausal Women with Type 2 Diabetes.

Ye Yeon Lee, Han Byul Kim, Jong Won Lee, Gyu Min Lee, Sang Yoon Kim, Ji An Hur, Ho Chan Cho

Open access · bronzeAbstract read
In one paragraph

Article in Journal of bone metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Ye Yeon LeeDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Han Byul KimDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Jong Won LeeDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Gyu Min LeeDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Sang Yoon KimDepartment of Internal Medicine, Andong Medical Group Hospital, Andong, Korea.
Ji An HurDepartment of Internal Medicine, School of Medicine, Yeungnam University, Daegu, Korea.
Ho Chan ChoDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.
Keimyung University · KRYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoporosis is a progressive bone disease that is characterized by a decrease in bone mass density and destruction of microstructure, which can lead to an increased risk of fracture. Although many studies have been published about the relationship between end-stage renal disease and osteoporosis, research on the relationship between proteinuria and the prevalence of osteoporosis is still lacking.

methodsWe assessed 91 postmenopausal women with type 2 diabetes who visited our hospital from January 2009 to January 2012.

resultsAmong 91 patients, the prevalence of osteoporosis and osteopenia was 35.2% (32 cases) and 32.9% (30 cases) according to bone mineral density. The patients with microalbuminuria and macroalbuminuria (urine albumin-to-creatinine ratio [UACR] ≥ 30) had a significantly higher incidence of osteoporosis compared to subjects with normoalbuminuria (P<0.05).

conclusionsThis study indicates that UACR may be a useful biomarker for increased risk of osteoporosis in postmenopausal women with type 2 diabetes who have been linked to higher UACR levels.

Indexed as

AlbuminsCreatinineDiabetes mellitus type 2Osteoporosis postmenopausal

Identifiers

PMID26981514
PMCPMC4791432
OpenAlexW2293884891

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.