Evidence map›Paper›PMID 38842565›Full record

ArticleAnnals of hematology2024

Association of routine hematological parameters with the development of monoclonal gammopathies: a case-control study of 134,740 patients : Resubmitted to annals of Hematology 26 March 2024.

Jakob Røllum-Larsen, Anna Elise Engell, Marta Diaz-delCastillo, Anne-Marie Heegaard, Henrik Løvendahl Jørgensen

Abstract read
In one paragraph

Article in Annals of hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jakob Røllum-LarsenDepartment of Clinical Biochemistry, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Anna Elise EngellDepartment of Clinical Biochemistry, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark. anna.elise.engell@regionh.dk.ORCID http://orcid.org/0000-0003-4123-0753
Marta Diaz-delCastilloDepartment of Forensic Medicine, University of Aarhus, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-7719-6839
Anne-Marie HeegaardDepartment of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, Copenhagen, 2100, Denmark.ORCID http://orcid.org/0000-0003-2754-0800
Henrik Løvendahl JørgensenDepartment of Clinical Biochemistry, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.ORCID http://orcid.org/0000-0001-6374-761X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of multiple myeloma requires detection of paraproteinemia and confirmation of monoclonal bone marrow infiltration, along with signs of end-organ damage. Despite the increasing prevalence, serum paraproteinemia is not routinely measured. We examined the relationship between alterations in routine hematological parameters and the development of paraproteinemia in a case-control study. Data was retrieved from a laboratory database in the capital region of Denmark between 01/01/2012 and 31/12/2022. Patients were included if they had a test for paraproteinemia (n = 134,740) and at least one prior hematological parameter (white blood cells, hemoglobin and platelet count) with a minimum follow-up of 1 year.Between 96,999 and 103,590 patients were included in each of the three hematological groups. We found white blood cell count and the presence of paraproteinemia followed an inverse J-shaped curve, with the highest presence below 3 × 10

Indexed as

ParaproteinemiasAdultAgedAged, 80 and overCase-Control StudiesDenmarkFemaleHemoglobinsHumansLeukocyte CountMaleMiddle AgedMultiple MyelomaPlatelet CountHemoglobinsCancer developmentComplete blood countMultiple myelomaParaproteinemiaRetrospective study

Identifiers

PMID38842565
PMCPMC11283380

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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.