Evidence map›Paper›PMID 23515923›Full record

ArticleJournal of bone and mineral metabolism2013

Vertebral bone density by quantitative computed tomography mirrors bone structure histomorphometric parameters in hemodialysis patients.

Aluizio Barbosa Carvalho, Ricardo Carneiro, Graziella M Leme, Carlos E Rochitte, Raul D Santos, Márcio H Miname, Rosa M Moyses, Vanda Jorgetti, Maria Eugênia F Canziani

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of bone and mineral metabolism, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Aluizio Barbosa CarvalhoNephrology Division, Federal University of São Paulo, Rua Borges Lagoa, 960, São Paulo, SP, 04038-002, Brazil, aluizio@uol.com.br.
Ricardo Carneiro
Graziella M Leme
Carlos E Rochitte
Raul D Santos
Márcio H Miname
Rosa M Moyses
Vanda Jorgetti
Maria Eugênia F Canziani
Universidade de São Paulo · BRUniversidade Federal de São Paulo · BRHospital São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosing low bone mass is of clinical importance for hemodialysis (HD) patients due to its association with fractures and cardiovascular disease. We investigated whether bone density obtained by quantitative computed tomography (QCT) is associated with the histologically determined bone volume and microarchitecture parameters in HD patients. Twenty-six HD patients were studied. Bone biopsy samples were obtained from the iliac crest and trabecular bone volume, thickness, number and separation were evaluated by histomorphometry. Vertebral trabecular bone density (VTBD) was evaluated by QCT. VTBD correlated positively with trabecular bone volume (r = 0.69, p < 0.001), trabecular thickness (r = 0.45, p = 0.022) and trabecular number (r = 0.62, p < 0.001), and negatively with trabecular separation (r = -0.50, p < 0.01). In the multiple linear regression analysis adjusting for age, gender and diabetes, VTBD remained associated with bone volume by histomorphometry (β = 0.06; 95 % CI 0.02-0.11; p = 0.006; R² = 0.49). VTBD measured by QCT mirrored bone volume and microarchitecture parameters obtained by histomorphometry in HD patients.

Indexed as

Renal DialysisAdultBone DensityFemaleHumansLumbar VertebraeMaleMiddle AgedTomography, X-Ray Computed

Identifiers

PMID23515923
OpenAlexW2093518391

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.