Evidence map›Paper›PMID 37868617›Full record

ArticleJournal of bone oncology2023

The low and disproportionate utilization of antiresorptive therapy in patients with osseous metastasis.

Amil R Agarwal, Christa L LiBrizzi, Lauren Wessel, Savyasachi C Thakkar, Adam S Levin

Open access · goldAbstract read
In one paragraph

Article in Journal of bone oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Amil R AgarwalDepartment of Orthopaedic Surgery, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Christa L LiBrizziDepartment of Orthopaedic Surgery, Johns Hopkins Medicine, Baltimore, MD, USA.
Lauren WesselDepartment of Orthopaedic Surgery, UCLA School of Medicine, Los Angeles, CA, USA.
Savyasachi C ThakkarDepartment of Orthopaedic Surgery, Johns Hopkins Medicine, Baltimore, MD, USA.
Adam S LevinDepartment of Orthopaedic Surgery, Johns Hopkins Medicine, Baltimore, MD, USA.
Johns Hopkins University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antiresorptive therapies are commonly utilized to mitigate and prevent skeletal-related-events in patients with metastatic osseous disease. However, limited data exists on the incidence or factors associated with prescription of antiresorptives or their effects on the incidence of pathologic fractures in patients with osseous metastatic disease. The aims of this study were to determine 1) the proportion of patients with osseous metastasis who receive antiresorptive therapy and sustain a pathologic fracture within 2-years of a new diagnosis, 2) factors associated with sustaining a pathologic fracture, and 3) factors are associated with the likelihood of receiving antiresorptive therapy. Methods: Between January 2010 and October 2021, 1,492,301 patients with a new diagnosis of osseous metastasis were captured in the Mariner dataset of the PearlDiver database. Patients were identified using International Classification of Disease (ICD) 10 codes for osseous metastasis. We excluded patients with a prior diagnosis of osseous metastasis and if they had less than two-years of follow-up. There were 696,459 patients (46.7 %) included for analysis. Of these patients, 63 % (N = 437,716) were over the age of 65, 46 % were women, and 5.6 % had Medicaid insurance. We identified patients who were prescribed antiresorptive therapy within 2-years of a new diagnosis of osseous metastasis. Cox proportional hazard ratio models were created to predict factors associated with 1) pathologic fracture and 2) receiving antiresorptive therapy within 2-years of a new diagnosis of osseous metastasis, respectively. Results: The incidence of antiresorptive therapy prescription was 7.7 % in our cohort. The incidence of pathologic fracture within 2-years of a new diagnosis was 7.3 %. The risk of sustaining a pathologic fracture was higher for patients aged 35-44 (HR 1.27 [95 % CI 1.08-1.51]; p = 0.004), those with primary kidney cancer (HR 1.78 [95 % CI 1.71-1.85]; p < 0.001), p = 0.005), multiple myeloma (HR 2.49 [95 % CI 2.39-2.59]; p < 0.001), and Medicaid insurance (HR 1.17 [95 % CI 1.13-1.21]; p < 0.001). The risk of sustaining a pathologic fracture was lower for patients on antiresorptive therapy (HR 0.71 [95 % CI 0.66-0.83]; p < 0.001). Increasing age was an independent predictor for antiresorptive therapy prescription (HR 1.77-16.38, all p < 0.05). Male sex as well as diagnosis of primary prostate, lung, or kidney cancer and Medicaid insurance were negative predictors for antiresorptive prescription (HR 0.15-0.87, all p < 0.001). Conclusions: The utilization of antiresorptive therapy in patients with osseous metastases remains unacceptably low, with only 7.7% patients being prescribed these therapies, despite shown efficacy in reduction of pathologic fractures incidences. This study identified younger patients, males, and those diagnosed with primary prostate, kidney, and lung cancers to be at increased risk of not being prescribed antiresorptive therapy, suggesting possible bias in prescription patterns. Greater efforts are needed by providers who care for this vulnerable population to increase the utilization and reduce disparities of prescribing antiresorptive therapy.

Indexed as

Antiresorptive medicationsBisphosphonatesOsseous metastasisProphylactic treatment

Identifiers

PMID37868617
PMCPMC10585374
OpenAlexW4387641229

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.