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Record W2582382609 · doi:10.7326/l16-0529

Change in Bone Mineral Density Is an Indicator of Treatment-Related Antifracture Effect

2017· letter· en· W2582382609 on OpenAlexaffabout
William D. Leslie, Sumit R. Majumdar, Suzanne N. Morin, Lisa M. Lix

Bibliographic record

VenueAnnals of Internal Medicine · 2017
Typeletter
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineCumulative incidenceGerontologyIncidence (geometry)DemographyCohortInternal medicineSociology

Abstract

fetched live from OpenAlex

Letters17 January 2017Change in Bone Mineral Density Is an Indicator of Treatment-Related Antifracture EffectWilliam D. Leslie, MD, MSc, Sumit R. Majumdar, MD, MPH, Suzanne N. Morin, MD, MSc, and Lisa M. Lix, PhDWilliam D. Leslie, MD, MScFrom University of Manitoba, Winnipeg, Manitoba, Canada; University of Alberta, Edmonton, Alberta, Canada; and McGill University, Montreal, Quebec, Canada.Search for more papers by this author, Sumit R. Majumdar, MD, MPHFrom University of Manitoba, Winnipeg, Manitoba, Canada; University of Alberta, Edmonton, Alberta, Canada; and McGill University, Montreal, Quebec, Canada.Search for more papers by this author, Suzanne N. Morin, MD, MScFrom University of Manitoba, Winnipeg, Manitoba, Canada; University of Alberta, Edmonton, Alberta, Canada; and McGill University, Montreal, Quebec, Canada.Search for more papers by this author, and Lisa M. Lix, PhDFrom University of Manitoba, Winnipeg, Manitoba, Canada; University of Alberta, Edmonton, Alberta, Canada; and McGill University, Montreal, Quebec, Canada.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/L16-0529 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:Dr. Bell and colleagues question whether inclusion of fractures that occurred before the second (follow-up) BMD test might affect results through reverse causation. As noted in our article, the proportional hazards assumption was confirmed, indicating stable effects during follow-up. Indeed, there is progressive divergence in cumulative fracture incidence (Figure 1) that extends beyond the second BMD test (average interval between tests, 4.5 years). The data in Table 3 further show that 10-year cumulative incidence for any fracture is twice the 5-year cumulative incidence regardless of whether it is based on the BMD change category (ratios, 1.98 to 2.05) ...References1. Cummings SR, Palermo L, Browner W, Marcus R, Wallace R, Pearson J, et al. Monitoring osteoporosis therapy with bone densitometry: misleading changes and regression to the mean. Fracture Intervention Trial Research Group. JAMA. 2000;283:1318-21. [PMID: 10714731] CrossrefMedlineGoogle Scholar2. Leslie WD, Majumdar SR, Morin SN, Lix LM. Why does rate of bone density loss not predict fracture risk? J Clin Endocrinol Metab. 2015;100:679-83. [PMID: 25611114] doi:10.1210/jc.2014-3777 CrossrefMedlineGoogle Scholar3. Glüer CC, Blake G, Lu Y, Blunt BA, Jergas M, Genant HK. Accurate assessment of precision errors: how to measure the reproducibility of bone densitometry techniques. Osteoporos Int. 1995;5:262-70. [PMID: 7492865] CrossrefMedlineGoogle Scholar4. Shepherd JA, Lu Y, Wilson K, Fuerst T, Genant H, Hangartner TN, et al; International Society for Clinical Densitometry Committee on Standards of Bone Measurement. Cross-calibration and minimum precision standards for dual-energy X-ray absorptiometry: the 2005 ISCD Official Positions. J Clin Densitom. 2006;9:31-6. [PMID: 16731429] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: From University of Manitoba, Winnipeg, Manitoba, Canada; University of Alberta, Edmonton, Alberta, Canada; and McGill University, Montreal, Quebec, Canada.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M15-2937. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoChange in Bone Mineral Density Is an Indicator of Treatment-Related Antifracture Effect in Routine Clinical Practice William D. Leslie , Sumit R. Majumdar , Suzanne N. Morin , and Lisa M. Lix Change in Bone Mineral Density Is an Indicator of Treatment-Related Antifracture Effect Katy J.L. Bell , Andrew Hayen , Paul Glasziou , Les Irwig , and Douglas C. Bauer Metrics 17 January 2017Volume 166, Issue 2Page: 152-153KeywordsBone densityBone mineral densityDisclosureHipHip fracturesReproducibilitySpine ePublished: 17 January 2017 Issue Published: 17 January 2017 Copyright & PermissionsCopyright © 2017 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.055
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0070.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0670.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.425
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2017
Admission routes2
Has abstractyes

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Same venueAnnals of Internal MedicineSame topicBone health and osteoporosis researchFrench-language works237,207