Evidence map›Paper›PMID 7586976›Full record

ArticleClinical rheumatology1995

Reduced bone mass and normal calcium metabolism in systemic sclerosis with and without calcinosis.

O Di Munno, M Mazzantini, P Massei, M Ferdeghini, N Pitaro, A Latorraca, C Ferri

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact, top 88% 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

14 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Osteoporosis in Rheumatic Diseases.International journal of molecular sciences · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A review of the use of dual-energy X-ray absorptiometry (DXA) in rheumatology.Open access rheumatology : research and reviews · 2012
    Review
  14. 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

7 authors at 1 institution in 1 country.

O Di MunnoInstitute of Internal Medicine, University of Pisa, Italy.
M Mazzantini
P Massei
M Ferdeghini
N Pitaro
A Latorraca
C Ferri
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forty-three female patients with systemic sclerosis divided into subgroups based on the extent of skin involvement and the presence of calcinosis, and 50 sex and age-matched healthy controls were investigated for bone mineral density (BMD) on the basis of radial (dual photon absorptiometry, Osteograph, NIM), lumbar, and total body measurements (dual energy X-ray absorptiometry, Lunar DPX, Lunar Corp.), and for parameters of calcium metabolism. The patients showed a lower BMD (mean +/- SD; mg/cm2) than the controls at the radial (313 +/- 69 vs 347 +/- 73; p < 0.005), lumbar (974 +/- 143 vs 1081 +/- 154; p < 0.005), and total body (997 +/- 82 vs 1075 +/- 109; p < 0.05) determinations. The patients with the diffuse form of skin involvement had lower values than those with the limited form. There was a negative correlation between BMD and the duration of the disease. The presence of calcinosis was not found to have any effect on BMD. Calcium metabolism was found to be normal in each subgroup. It may be concluded that generalized osteoporosis is a feature of systemic sclerosis, with and without calcinosis. The extent and duration of the disease may play a role in determining bone loss.

Indexed as

Bone DensityAbsorptiometry, PhotonAdultAgedAge FactorsCalcinosisCalciumFemaleHumansMiddle AgedOsteoporosis, PostmenopausalScleroderma, SystemicCalcium

Identifiers

PMID7586976
OpenAlexW2040300756

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.