Evidence map›Paper›PMID 39849845›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2025

Assessing the effects of immune checkpoint inhibitors on bone utilizing machine learning-assisted opportunistic quantitative computed tomography.

Bryn E Matheson, Jacob L Jaremko, Alexandra Dowhanik, Jasmine Gill, Cassandra Gallant, John Walker, Nathan Armani, William D Leslie, Michael Kolinsky, Steven K Boyd and 1 more

Abstract read
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2025. 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. Review
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

11 authors.

Bryn E MathesonMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.ORCID 0009-0007-6391-2567
Jacob L JaremkoMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Alexandra DowhanikDepartment of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB T6G 2B7, Canada.
Jasmine GillDivision of Dermatology, Department of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
Cassandra GallantDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
John WalkerDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
Nathan ArmaniDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
William D LeslieDepartments of Internal Medicine and Radiology, University of Manitoba, Winnipeg, MB R3A 1R9, Canada.
Michael KolinskyDepartment of Medicine, University of Alberta, Edmonton, AB T6G 2G3, Canada.
Steven K BoydMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.ORCID 0000-0002-2930-5997
Carrie YeMcCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.ORCID 0000-0002-9858-5398

Funding

University of Alberta University Hospital Foundation Medical Research Competition RES0056834
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, yet their impact on bone health remains unclear. This study aimed to perform a retrospective cohort study utilizing routine CT scans from patients with melanoma to perform opportunistic QCT analysis to investigate the effects of ICI treatment on skeletal health, including volumetric BMD (vBMD) measurements and osteoarthritis (OA) parameters. A previously established machine learning-assisted opportunistic QCT pipeline was used to estimate lumbar spine vBMD from baseline and 12-mo follow-up CT scans in patients with melanoma treated with ICI therapy and those not treated with ICI therapy. Facet joint OA, osteophyte formation, and endplate sclerosis were also graded. Independent and paired t tests were used to determine any differences in vBMD and OA parameters between ICI users and non-ICI users. Multivariable linear regression models were used to control for confounding variables. Non-ICI users had a significant decrease in vBMD of -6.96 mg/cm3 from baseline to follow-up, whereas the ICI users had no significant change. There was a significant difference in change in vBMD from baseline to follow-up between the 2 groups, with the non-ICI users experiencing a 11.22 mg/cm3 larger decrease in vBMD. After adjusting for baseline age, sex, baseline vBMD, and change in OA parameters, this difference remained significant at -13.04 mg/cm3. Among the ICI users, those who had a decline in vBMD had a lower baseline vBMD compared with those who had increased vBMD. Neither group showed a significant change in OA parameters over the follow-up period, nor a difference in change between ICI and non-ICI users, even after adjusting for sex, age, and baseline OA parameters. While the effects of ICI treatment on vBMD may vary based on baseline bone health, ICIs do not significantly impact OA parameters in the short term.

Indexed as

Bone and BonesImmune Checkpoint InhibitorsMachine LearningTomography, X-Ray ComputedAdultAgedBone DensityFemaleHumansMaleMiddle AgedRetrospective StudiesImmune Checkpoint InhibitorsBMDcancerimmune checkpoint inhibitorsimmune related adverse eventsmelanomaopportunistic computed tomographyosteoarthritisosteoporosis

Identifiers

PMID39849845
PMCPMC11909731

What OpenQuestion holds

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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.