Evidence map›Paper›PMID 39372304›Full record

ArticleActa endocrinologica (Bucharest, Romania : 2005)

THE INDEPENDENT EFFECTS OF TYPE 2 DIABETES MELLITUS AND CHRONIC KIDNEY DISEASE ON BONE TURNOVER MARKERS.

I C Mogos, D A Niculescu, R Dusceac, C Poiana

Abstract read
In one paragraph

Article in Acta endocrinologica (Bucharest, Romania : 2005). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Bone health in diabetes mellitus.Reviews in endocrine & metabolic disorders · 2026
    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

4 authors.

I C Mogos"Carol Davila" University of Medicine and Pharmacy - Endocrinology.
D A Niculescu"Carol Davila" University of Medicine and Pharmacy - Endocrinology.
R Dusceac"C.I. Parhon" National Institute of Endocrinology - Endocrinology Department, Bucharest, Romania.
C Poiana"Carol Davila" University of Medicine and Pharmacy - Endocrinology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM) are associated with disturbed mineral homeostasis and serum bone biomarkers. The interplay between T2DM and CKD on serum bone turnover markers (BTM) is unclear. Our aim was to describe the BTM in patients with T2DM, CKD or both. Methods: In this observational, single-centre, prospective study, we included 320 patients over 40 years, divided into four groups: T2DM and normal kidney function (n=142), T2DM and CKD (n=36), CKD and normal glucose metabolism (n=29) and healthy controls (n=113). We excluded patients treated for osteoporosis and with secondary osteoporosis. Patients were compared by age, levels of glycated hemoglobin, PTH, alkaline phosphatase, osteocalcin (OC), CTx and 25 OH vitamin D. Results: Univariate analysis showed that GFR correlated significantly with PTH (r=0.37), OC (r=0.43) and CTX (r=0.45) in the diabetes group but only with PTH (r=0.34) in the non-T2DM group. Multivariate analysis showed that GFR remained significantly correlated with the same bone markers even after adjustment for age, sex or 25(OH)D levels. Diabetics seem to have lower levels of alkaline phosphatase (68±22.1 U/L) and CTX (0.37±0.24 ng/mL) than those without diabetes (76.7±29.6. U/L and 0.5±0.19 ng/mL, respectively). There was no correlation between BTM and glycated hemoglobin. Conclusions: Bone turnover markers correlate with GFR, particularly in patients with T2DM. However, alkaline phosphatase is lower in T2DM than in non-T2DM.

Indexed as

bone turnover markerchronic kidney diseasediabetesosteocalcin

Identifiers

PMID39372304
PMCPMC11449240

What OpenQuestion holds

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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.