Evidence map›Paper›PMID 40181849›Full record

ReviewIndian journal of endocrinology and metabolism

Role of Anabolic Anti-Osteoporosis Therapy in Diabetes Subjects.

Harsh Durgia, Rajan Palui, Jayaprakash Sahoo, Sadishkumar Kamalanathan, Dukhabandhu Naik

Abstract readReview
In one paragraph

Review 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Diabetic Bone Disease - An Indian Snapshot.Indian journal of endocrinology and metabolism
    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

5 authors.

Harsh DurgiaDr. Harsh's Endocrine and Diabetes Center, Rajkot, Gujarat, India.
Rajan PaluiDepartment of Endocrinology, The Mission Hospital, Durgapur, West Bengal, India.
Jayaprakash SahooDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Sadishkumar KamalanathanDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Dukhabandhu NaikDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a metabolic disorder that leads to the destruction of various tissues including bones. The pathogenesis of osteoporosis (OP) varies in DM due to many specific factors. DM increases the risk of fracture as well as post-fracture mortality. It is because of this fact that OP treatment should not be neglected in patients with DM. OP therapy comprises anabolic as well as anti-resorptive agents. Primary OP as observed in post-menopausal women is associated with high bone turnover, whereas OP in DM is a disease of low bone turnover. Therefore, anabolic agents seem to be quite promising in cases of OP in DM. Although the anti-fracture efficacy of these drugs is proven beyond any doubt in the general population without DM, evidence in persons with DM is limited. Among the anabolic agents, teriparatide has the most evidence in favor of its efficacy and safety in persons with DM. Studies evaluating other anabolic agents such as abaloparatide and romosozumab in diabetic osteopathy are scarce in the literature. Future studies specifically in both type 1 and type 2 DM populations are needed to evaluate the effects of osteoanabolic agents.

Indexed as

Abaloparatideanabolicdiabetes mellitusosteoporosisromosozumabteriparatide

Identifiers

PMID40181849
PMCPMC11964375

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.