Evidence map›Paper›PMID 33619185›Full record

ArticleBMJ open2021

Health impact of monoclonal gammopathy of undetermined significance (MGUS) and monoclonal B-cell lymphocytosis (MBL): findings from a UK population-based cohort.

Maxine Je Lamb, Alexandra Smith, Daniel Painter, Eleanor Kane, Timothy Bagguley, Robert Newton, Debra Howell, Gordon Cook, Ruth de Tute, Andrew Rawstron and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. CHIPing Away at Proteomics to Find Correlations with Myeloid Neoplasms.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Maxine Je LambDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-1284-9912
Alexandra SmithDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-1111-966X
Daniel PainterDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-3936-7569
Eleanor KaneDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-7438-9982
Timothy BagguleyDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-6150-3467
Robert NewtonDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0001-6715-9153
Debra HowellDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0002-7521-7402
Gordon CookHaematology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Ruth de TuteHaematological Malignancy Diagnostic Service (HMDS), Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Andrew RawstronHaematological Malignancy Diagnostic Service (HMDS), Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Russell PatmoreHaematology, Hull University Teaching Hospitals NHS Trust, Hull, UK.
Eve RomanDepartment of Health Sciences, University of York, York, UK eve.roman@york.ac.uk.ORCID 0000-0001-7603-3704
University of York · GBLeeds Teaching Hospitals NHS Trust · GBUniversity of Hull · GB

Funding

Blood Cancer UK 15037Cancer Research UK 15037Cancer Research UK 18362Cancer Research UK 29685
6 · The paper itself

Abstract

objectiveTo examine mortality and morbidity patterns before and after premalignancy diagnosis in individuals with monoclonal gammopathy of undetermined significance (MGUS) and monoclonal B-cell lymphocytosis (MBL) and compare their secondary healthcare activity to that of the general population.

designPopulation-based patient cohort, within which each patient is matched at diagnosis to 10 age-matched and sex-matched individuals from the general population. Both cohorts are linked to nationwide information on deaths, cancer registrations and Hospital Episode Statistics.

settingThe UK's Haematological Malignancy Research Network, which has a catchment population of around 4 million served by 14 hospitals and a central diagnostic laboratory.

participantsAll patients newly diagnosed during 2009-2015 with MGUS (n=2193) or MBL (n=561) and their age and sex-matched comparators (n=27 538).

main outcome measuresMortality and hospital inpatient and outpatient activity in the 5 years before and 3 years after diagnosis.

resultsIndividuals with MGUS experienced excess morbidity in the 5 years before diagnosis and excess mortality and morbidity in the 3 years after diagnosis. Increased rate ratios (RRs) were evident for nearly all clinical specialties, the largest, both before and after diagnosis, being for nephrology (before RR=4.29, 95% CI 3.90 to 4.71; after RR=13.8, 95% CI 12.8 to 15.0) and rheumatology (before RR=3.40, 95% CI 3.18 to 3.63; after RR=5.44, 95% CI 5.08 to 5.83). Strong effects were also evident for endocrinology, neurology, dermatology and respiratory medicine. Conversely, only marginal increases in mortality and morbidity were evident for MBL.

conclusionsMGUS and MBL are generally considered to be relatively benign, since most individuals with monoclonal immunoglobulins never develop a B-cell malignancy or any other monoclonal protein-related organ/tissue-related disorder. Nonetheless, our findings offer strong support for the view that in some individuals, monoclonal gammopathy has the potential to cause systemic disease resulting in wide-ranging organ/tissue damage and excess mortality.

Indexed as

LymphocytosisMonoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaParaproteinemiasB-LymphocytesHumansUnited Kingdomepidemiologyleukaemialymphomamyelomapublic health

Identifiers

PMID33619185
PMCPMC7903106
OpenAlexW3130810665

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.