Evidence map›Paper›PMID 28670536›Full record

ArticleIndian journal of endocrinology and metabolism

Osteoporosis in Otherwise Healthy Patients with Type 2 Diabetes: A Prospective Gender Based Comparative Study.

Balram Sharma, Hema Singh, Praveen Chodhary, Sanjay Saran, Sandeep Kumar Mathur

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Diabetes mellitus, vitamin D & osteoporosis: Insights.The Indian journal of medical research · 2019
    Article
  4. Article
  5. Article
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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

5 authors at 1 institution in 1 country.

Balram SharmaDepartment of Endocrinology, SMS Medical College and Hospitals, Jaipur, Rajasthan, India.
Hema SinghDepartment of Endocrinology, SMS Medical College and Hospitals, Jaipur, Rajasthan, India.
Praveen ChodharyDepartment of Endocrinology, SMS Medical College and Hospitals, Jaipur, Rajasthan, India.
Sanjay SaranDepartment of Endocrinology, SMS Medical College and Hospitals, Jaipur, Rajasthan, India.
Sandeep Kumar MathurDepartment of Endocrinology, SMS Medical College and Hospitals, Jaipur, Rajasthan, India.
Sawai ManSingh Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveType 2 diabetes mellitus (T2DM) may affect bone loss differentially in adult males and postmenopausal females. We evaluated the prevalence of osteoporosis in otherwise healthy adults with T2DM. MATERIALS AND

methodsIn a cross-sectional study, adults with T2DM, aged 50 years and above, were evaluated for bone mineral density (BMD) using dual-energy X-ray absorptiometry (DXA) scan at spine and hip. T-score of ≤-2.5 was defined as osteoporosis and score -2.49 to -1.0 as osteopenia at either site. Correlation of low BMD with demographic, clinical, and laboratory parameters including serum Vitamin D and serum testosterone (in males) was evaluated.

resultsIn 200 patients, mean age was 64.5 ± 7.0 years and age differed significantly in males and females (

conclusionPrevalence of osteoporosis in otherwise healthy T2DM was 35.5% with greater prevalence in females than males. Body mass but not Vitamin D or testosterone has an important role in the determination of bone loss in T2DM.

Indexed as

Bone mineral densityosteoporosissexType 2 diabetes mellitus

Identifiers

PMID28670536
PMCPMC5477440
OpenAlexW2623873360

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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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.