Evidence map›Paper›PMID 31223562›Full record

ArticleJournal of bone oncology2019

Unplanned admissions for patients with myeloma in the UK: Low frequency but high costs.

Spyros Kolovos, Guido Nador, Bhuvan Kishore, Matthew Streetly, Neil K Rabin, Andrew D Chantry, Kwee Yong, John Ashcroft, Stella Bowcock, Mark T Drayson and 5 more

Abstract read
In one paragraph

Article in Journal of bone oncology, 2019. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Hospital admissions of patients with osteogenesis imperfecta in the English NHS.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    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

15 authors.

Spyros KolovosNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Old Rd, Oxford OX3 7LD, UK.
Guido NadorOxford University Hospitals NHS Trust, Oxford, UK.
Bhuvan KishoreHeart of England NHS Foundation Trust, Birmingham, UK.
Matthew StreetlyGuy's and St. Thomas' NHS Foundation Trust and King's College London, London, UK.
Neil K RabinDepartment of Haematology, University College London Hospitals NHS Foundation Trust, London, UK.
Andrew D ChantryDepartment of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK.
Kwee YongDepartment of Haematology, University College London Hospitals NHS Foundation Trust, London, UK.
John AshcroftDepartment of Haematology, Mid Yorkshire NHS Trust, Wakefield, UK.
Stella BowcockKing's College Hospital NHS Trust, London, UK.
Mark T DraysonInstitute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
Karthik RamasamyOxford University Hospitals NHS Trust, Oxford, UK.
Daniel Prieto-AlhambraCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
M Kassim JavaidNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Old Rd, Oxford OX3 7LD, UK.
Rafael Pinedo-VillanuevaNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Old Rd, Oxford OX3 7LD, UK.

Funding

Medical Research Council G0400491Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1
6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is associated with high healthcare resource utilisation and increasing hospitalisation rates. The aim of this study was to characterise the hospital use by patients with MM in the English National Health Service (NHS).

methodsRoutinely-collected aggregate data about all NHS-funded hospital admissions of patients with MM were analysed. Data were obtained from the English Hospital Episodes Statistics on admissions between 1 April 2014 and 31 March 2018.

resultsA total of 754,345 admissions were reported over four years, equivalent to a mean of 188,586 admissions per year. Of the 41,845 patients admitted during this period, 42% were women and 58% men. From the total admissions, 90% were elective and 10% unplanned. Mean annual estimated costs over the period were £46 million for elective and £56 million for unplanned admissions. The number of elective admissions increased by 4.5% with costs increasing 1.5% per year; for unplanned admissions, these figures were 4.1% and 9.0%, respectively.

conclusionsMM is associated with a significant number of hospital admissions and NHS costs. The majority of the hospital admissions are elective, but the highest burden in terms of costs relates to unplanned admissions, with numbers increasing over time.

Indexed as

CostsElective admissionsMultiple myelomaUnplanned admissions

Identifiers

PMID31223562
PMCPMC6579752

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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.