Evidence map›Paper›PMID 29862042›Full record

ReviewClinical diabetes and endocrinology2018

The challenges of diagnosing osteoporosis and the limitations of currently available tools.

Palak Choksi, Karl J Jepsen, Gregory A Clines

Open access · goldAbstract readReview
In one paragraph

Review in Clinical diabetes and endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 5 pooled it
14.9field-weighted citation impact, top 1% 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

116 citing papers in PubMed, 5 syntheses or guidelines pooled it, 230 citations in OpenAlex.

  1. Pooled it
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  5. The utility of dried blood spot measurement of bone turnover markers in biological anthropology.American journal of human biology : the official journal of the Human Biology Council · 2022
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  18. HR-pQCT skeletal phenotype clustering associated with muscle function in older men and women: The Study of Muscle, Mobility and Aging (SOMMA).Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
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56 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Palak Choksi1Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI USA.
Karl J Jepsen2Departments of Orthopaedic Surgery and Biomedical Engineering, University of Michigan, Ann Arbor, MI USA.
Gregory A Clines1Division of Metabolism, Endocrinology & Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI USA.
University of Michigan–Ann Arbor · USAnn Arbor VA Medical Center · US

Funding

Structure, Composition, & Histology Core - Core BP30AR069620 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARL J JEPSEN · 2016 to 2026
$8.4M
Bone Robustness as a Biomarker of Skeletal Aging and FragilityR01AR065424 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JEPSEN, KARL J · 2014 to 2018
$2.4M
Changes in Periosteal and Endocortical Width Across the Menopausal TransitionR01AR068452 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JEPSEN, KARL J · 2018 to 2022
$2.2M
NIAMS NIH HHS P30 AR069620NIAMS NIH HHS R01 AR065424NIAMS NIH HHS R01 AR068452
6 · The paper itself

Abstract

Dual-energy X-ray absorptiometry (DXA) was the first imaging tool widely utilized by clinicians to assess fracture risk, especially in postmenopausal women. The development of DXA nearly coincided with the availability of effective osteoporosis medications. Although osteoporosis in adults is diagnosed based on a T-score equal to or below - 2.5 SD, most individuals who sustain fragility fractures are above this arbitrary cutoff. This incongruity poses a challenge to clinicians to identify patients who may benefit from osteoporosis treatments. DXA scanners generate 2 dimensional images of complex 3 dimensional structures, and report bone density as the quotient of the bone mineral content divided by the bone area. An obvious pitfall of this method is that a larger bone will convey superior strength, but may in fact have the same bone density as a smaller bone. Other imaging modalities are available such as peripheral quantitative CT, but are largely research tools. Current osteoporosis medications increase bone density and reduce fracture risk but the mechanisms of these actions vary. Anti-resorptive medications (bisphosphonates and denosumab) primarily increase endocortical bone by bolstering mineralization of endosteal resorption pits and thereby increase cortical thickness and reduce cortical porosity. Anabolic medications (teriparatide and abaloparatide) increase the periosteal and endosteal perimeters without large changes in cortical thickness resulting in a larger more structurally sound bone. Because of the differences in the mechanisms of the various drugs, there are likely benefits of selecting a treatment based on a patient's unique bone structure and pattern of bone loss. This review retreats to basic principles in order to advance clinical management of fragility fractures by examining how skeletal biomechanics, size, shape, and ultra-structural properties are the ultimate predictors of bone strength. Accurate measurement of these skeletal parameters through the development of better imaging scanners is critical to advancing fracture risk assessment and informing clinicians on the best treatment strategy. With this information, a "treat to target" approach could be employed to tailor current and future therapies to each patient's unique skeletal characteristics.

Indexed as

BisphosphonatesDenosumabDual X-ray absorptiometryOsteoporosisPeripheral quantitative computed tomographyRomosozumabSkeletal biomechanicsSkeletal fractureTeriparatide

Identifiers

PMID29862042
PMCPMC5975657
OpenAlexW2807378036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.