Evidence map›Paper›PMID 15984407›Full record

ReviewJournal of bone and mineral metabolism2005

The past, present, and future of bone morphometry: its contribution to an improved understanding of bone biology.

Webster S S Jee

Abstract readHistorical ArticlePortraitReview
PubMed Publisher
In one paragraph

Review in Journal of bone and mineral metabolism, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. High-molecular-weight Hyaluronan Administration Inhibits Bone Resorption and Promotes Bone Formation in Young-age Osteoporosis Rats.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2024
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  7. Methods for quantitative characterization of bone injury from computed-tomography images.Proceedings of SPIE--the International Society for Optical Engineering · 2019
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  8. Detection of bone loss via subchondral bone analysis.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    Article
  9. Review
  10. Review
  11. Article
  12. Histology of a Harris line in a human distal tibia.Journal of bone and mineral metabolism · 2015
    Article
  13. Review
  14. Review
  15. The utility of circulating markers to predict bone loss across the CKD spectrum.Clinical journal of the American Society of Nephrology : CJASN · 2014
    Article
  16. Can one evaluate bone disease in chronic kidney disease without a biopsy?Current opinion in nephrology and hypertension · 2014
    Review
  17. Fracture risk assessment in patients with chronic kidney disease.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2012
    Review
  18. Review
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Webster S S JeeRadiobiology Division, University of Utah School of Medicine, 729 Arapeen Drive, Suite 2338, Salt Lake City, UT 84108-1218, USA. webster.jee@hsc.utah.edu
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It was not until the 1950s that a better paradigm for bone biology evolved, which led to the birth of bone histomorphometry. Two clinicians, Harold Frost (1958-1964) and Lent Johnson (1964), were responsible for the paradigm stating that the primary function of bone is mechanical load bearing with subsidiary function to participate in plasma calcium homeostasis to support hematopoesis. Dynamic bone histomorphometry was born when Milch et al. (1958) discovered bone localization of tetracycline and Frost generated the methodology to study tetracycline-based dynamic histological analysis of cortical bone remodeling (1961-1965). Dynamic bone histomorphometry did not blossom until Frost, while a Sun Valley Workshop participant, developed it to address trabecular bone dynamics. The combination of Arnold (1948) producing thin sections of plastic-embedded undecalcified bone and Frost's (1977-1983) modification of dynamic cortical bone histology for cancellous bone made it possible to study tetracycline-based dynamic histomorphometry of cancellous bone. It led to the better understanding of basic metabolic unit (BMU) remodelling and to Frost's mechanostat hypothesis, and characterized the rat model to accelerate the development of several drugs in the treatment of bone diseases. Currently, dynamic bone histomorphometry has contributed to studies in bone's mechanical usage windows, mechanical usage setpoint hypothesis, muscle-bone relations, marrow-bone relations, the Utah paradigm of musculoskeletal physiology, apoptosis, genetics (transgenic mice) and bone structure, bone quality, the lacunocanalicular network and bone modelling, and remodeling hypothesis, osteocyte role as mechanosensory, chemosensory, and regulatory in bone maintenance, targeted and untargeted remodeling, the role of permissive agents, etc., items in bone biology expounded briefly by Lent Johnson (1965) and continuously by Harold Frost at the Sun Valley Workshop (1965-2003). Finally, "What's next?" covers how to improve and perpetuate the employing of qualitative histomorphometry in research opportunities in hard tissue research.

Indexed as

AnimalsBiologyBone and BonesBone DensityBone DevelopmentBone RemodelingHistory, 20th CenturyHistory, 21st CenturyHumansUtahNon-programmatic

Identifiers

PMID15984407
OpenAlexW2314240576

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.