Evidence map›Paper›PMID 34825920›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2022

Multiple myeloma screening within a fracture liaison service (FLS).

G Agarwal, C Milan, Z Mohsin, S Mahoney, G White, P Stevens, S Connacher, P Osborne, R Eckert, R Sadler and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 3 institutions in 1 country.

G AgarwalBalliol College, University of Oxford, Oxford, UK.
C MilanOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
Z MohsinNDORMS, University of Oxford, Oxford, UK.
S MahoneyOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
G WhiteOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
P StevensOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
S ConnacherOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
P OsborneOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
R EckertOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
R SadlerOxford University Hospitals NHS Foundation Trust, Oxford, UK.
K RamasamyBlood Theme, Oxford NIHR BRC, Oxford, UK.
M K JavaidOxfordshire Fracture Prevention Service, Oxford University Hospitals Foundation NHS Trust, Oxford, UK.
Oxford University Hospitals NHS Trust · GBUniversity of Oxford · GBOxford BioMedica (United Kingdom) · GB

Funding

Medical Research Council MR/V037439/1
6 · The paper itself

Abstract

Multiple myeloma (MM) remains incurable. Although early diagnosis improves outcomes, it has been unclear which populations to target for screening with serum electrophoresis, serum free light chains and urine electrophoresis. Here, we assessed the value of MM screening in a Fracture Liaison Service, finding that 1 per 195 fragility fractures has undiagnosed MM, which can be expedited to Haematology Services. PURPOSE: A key role of the Fracture Liaison Service (FLS) is screening for secondary causes of osteoporosis. In 2019, the Royal Osteoporosis Society recommended that all patients attending FLS who are recommended anti-osteoporosis therapy have universal screening for myeloma based on serum electrophoresis, serum free light chains and urine electrophoresis. Here, we examined the impact of universal myeloma screening within an FLS.

methodsWe sampled all patients seen by the Oxfordshire FLS between January and April 2018. The completion rates and outcomes of screening were checked using the hospital and FLS databases.

resultsOf 950 patients identified by the FLS, 628 were eligible for MM screening; 473 (75%) of these were female, and the average age was 78.4 years. Overall, 584 had some form of myeloma screening, of which 577 (92%) had serum electrophoresis, 525 (84%) had serum free light chains and 407 (65%) had urine electrophoresis measured. A total of 327 (59%) patients had complete screening. Three patients (0.5%) had newly diagnosed myeloma and were urgently referred to Haematology Services. Furthermore, 46 (8%) patients had a detectable serum paraprotein with a likely diagnosis of monoclonal gammopathy of uncertain significance (MGUS) and referred for community annual surveillance according to local guidelines.

conclusionAddition of universal myeloma screening to laboratory testing identified myeloma in 1 per 195 patients, and its precursor state MGUS in 1 per 13 patients, which may have otherwise been missed. Further analysis with long-term follow-up is needed to clearly define the value of diagnosing MGUS within the FLS setting and establish the benefits vs. costs and methods to improve screening completion rates.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaOsteoporosisOsteoporotic FracturesAgedDelivery of Health CareFemaleHumansSecondary PreventionFLSMGUSMyelomaOsteoporosisScreening

Identifiers

PMID34825920
OpenAlexW3215877193

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.