Evidence map›Paper›PMID 39157600›Full record

ArticleEJHaem2024

Incidence and prevention of skeletal-related events in multiple myeloma patients: A population-based real-world experience.

Marie Røra, Margrete Skretting Solberg, Kari Lenita Falck Moore, Tobias S Slørdahl

Abstract read
In one paragraph

Article in EJHaem, 2024. 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. Article
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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

4 authors.

Marie RøraDepartment of Clinical and Molecular Medicine Norwegian University of Science and Technology (NTNU) Trondheim Norway.
Margrete Skretting SolbergDepartment of Clinical and Molecular Medicine Norwegian University of Science and Technology (NTNU) Trondheim Norway.
Kari Lenita Falck MooreKG Jebsen Center for B cell malignancies Institute of Clinical Medicine University of Oslo Oslo Norway.ORCID https://orcid.org/0000-0002-2190-2762
Tobias S SlørdahlDepartment of Clinical and Molecular Medicine Norwegian University of Science and Technology (NTNU) Trondheim Norway.ORCID https://orcid.org/0000-0001-7488-4863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel treatments in multiple myeloma (MM) could influence the incidence of skeletal-related events (SREs). We aimed to examine the incidence of SRE and the preventive use of osteoclast inhibitors (OIs) in a cohort of MM patients in the era of modern treatment. In this real-world retrospective study, we included 199 patients with a diagnosis of MM between January 1, 2010, and December 31, 2019, with follow-up at St. Olavs University Hospital. Data was extracted from The Myeloma Registry of Central Norway. SREs occurred in 46% of patients at baseline and 55.8% during follow-up. Excluding baseline SREs, the incidence rate was 29 (95% confidence interval: 26-33) per 100 person years. 48% experienced > 1 SRE. The incidence of SREs was highest at baseline followed by a gradual increase in each subsequent line of treatment. The first two years after diagnosis 80% received bisphosphonates (BPs). The proportion of recommended dosage was 46%. Only two cases (1.2%) of symptomatic hypocalcemia and one case (0.6%) of osteonecrosis of the jaw were identified. SREs are still a common problem in an era of novel treatment. Cumulative dosage of BPs was lower than recommended, and treatment with BPs was safe in this population.

Indexed as

bisphosphonatesCalcium and Vitamin Ddenosumabepidemiologyhypocalcemiamultiple myelomaosteoclast inhibitorsosteonecrosis of the jawskeletal‐related events

Identifiers

PMID39157600
PMCPMC11327710

What OpenQuestion holds

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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.