Evidence map›Paper›PMID 38107819›Full record

ReviewIndian journal of orthopaedics2023

Demystifying the Risk Factors and Preventive Measures for Osteoporosis.

Raju Vaishya, Karthikeyan P Iyengar, Vijay Kumar Jain, Abhishek Vaish

Open access · greenAbstract readReview
In one paragraph

Review in Indian journal of orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Objectively measured sleep parameters and bone health: results from the Human Phenotype Project (HPP) cohort.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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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

4 authors at 3 institutions in 2 countries.

Raju VaishyaDepartment of Orthopaedics, Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, 110076 India.ORCID 0000-0002-9577-9533
Karthikeyan P IyengarDepartment of Orthopaedics, Southport and Ormskirk Hospital NHS, Trust, Southport, UK.
Vijay Kumar JainDepartment of Orthopaedic Surgery, Atal Bihari Vajpayee Institute of Medical Sciences, Dr. Ram Manohar Lohia Hospital, New Delhi, 110001 India.
Abhishek VaishDepartment of Orthopaedics, Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, 110076 India.
Indraprastha Apollo Hospitals · INAtal Bihari Vajpayee Institute of Medical Sciences and Dr. Ram Manohar Lohia Hospital · INSouthport and Ormskirk Hospital NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis is a major health problem, globally. It is characterized by structural bone weakness leading to an increased risk of fragility fractures. These fractures commonly affect the spine, hip and wrist bones. Consequently, Osteoporosis related proximal femur and vertebral fractures represent a substantial, growing social and economic burden on healthcare systems worldwide. Indentification of the risk factors, clinical risk assessment, utilization of risk assessment tools and appropriate management that play a crucial role in reducing the burden of Osteoporosis by tackling modifiable risk factors. Methods: This chapter explores various risk factors that are associated with Osteoporosis and provides an overview of various clinical and diagnostic risk assessment tools with a particular emphasis on evidence-based strategies for their prevention. Conclusion: The role of emerging technologies such as Artificial Intelligence (AI) and perspectives such as newer diagnostic modalities, monitoring and surveillance approaches in prevention of risk factors in the pathogenesis of Osteoporosis is highlighted.

Indexed as

Bone mineral densityFracture riskFracture risk assessmentFragility fractureOsteoporosisRisk factorsSpinal fractures

Identifiers

PMID38107819
PMCPMC10721752
OpenAlexW4386742459

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.