Evidence map›Paper›PMID 28639741›Full record

ArticleCancer medicine2017

The impact of comorbidity on mortality in multiple myeloma: a Danish nationwide population-based study.

Henrik Gregersen, Annette Juul Vangsted, Niels Abildgaard, Niels Frost Andersen, Robert Schou Pedersen, Ulf Christian Frølund, Carsten Helleberg, Bettina Broch, Per Trøllund Pedersen, Peter Gimsing and 1 more

Abstract read
In one paragraph

Article in Cancer medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
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  3. Perioperative considerations for patients with multiple myeloma.European journal of anaesthesiology and intensive care · 2026
    Review
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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

11 authors.

Henrik GregersenDepartment of Hematology, Aalborg University Hospital, DK-9000, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-6632-5308
Annette Juul VangstedDepartment of Hematology, Rigshospitalet, University of Copenhagen, DK-2100, Copenhagen, Denmark.
Niels AbildgaardDepartment of Hematology and the Academy of Geriatric Cancer Research (AgeCare), Odense University Hospital, DK-5000, Odense C, Denmark.
Niels Frost AndersenDepartment of Hematology, Aarhus University Hospital, DK-8000, Aarhus, Denmark.
Robert Schou PedersenDepartment of Hematology, Regional Hospital West Jutland, DK-7500, Holstebro, Denmark.
Ulf Christian FrølundDepartment of Hematology, Roskilde Hospital, DK-4000, Roskilde, Denmark.
Carsten HellebergDepartment of Hematology, Herlev Hospital, DK-2730, Herlev, Denmark.
Bettina BrochDepartment of Hematology, Vejle Hospital, DK-7100, Vejle, Denmark.
Per Trøllund PedersenDepartment of Hematology, Esbjerg Hospital, DK-6700, Esbjerg, Denmark.
Peter GimsingDepartment of Hematology, Rigshospitalet, University of Copenhagen, DK-2100, Copenhagen, Denmark.
Tobias Wirenfeldt KlausenDepartment of Hematology, Herlev Hospital, DK-2730, Herlev, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To describe the prevalence of comorbidity and its impact on survival in newly diagnosed multiple myeloma patients compared with population controls. Cases of newly diagnosed symptomatic multiple myeloma during the 2005-2012 period were identified in the Danish National Multiple Myeloma Registry. For each myeloma patient, 10 members of the general population matched by age and sex were chosen from the national Civil Registration System. Data on comorbidity in the myeloma patients and the general population comparison cohort were collected by linkage to the Danish National Patient Registry (DNPR). Cox proportional hazards regression models were used to evaluate the prognostic significance of comorbidity. The study included 2190 cases of multiple myeloma and 21,900 population controls. The comorbidity was increased in multiple myeloma patients compared with population controls, odds ratio (OR) 1.4 (1.1-1.7). The registration of comorbidity was highly increased within the year preceding diagnosis of multiple myeloma (OR 3.0 [2.5-3.5]), which was attributable to an increased registration of various diseases, in particular, renal disease with OR 11.0 (8.1-14.9). The median follow-up time from diagnosis of multiple myeloma for patients alive was 4.3 years (interquartile range 2.4-6.3). Patients with registered comorbidity had increased mortality compared with patients without comorbidity, hazard ratio 1.6 (1.5-1.8). Multiple myeloma patients have increased comorbidity compared with the background population, in particular during the year preceding the diagnosis of myeloma.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesComorbidityDenmarkFemaleHematopoietic Stem Cell TransplantationHumansMaleMelphalanMiddle AgedMortalityMultiple MyelomaOdds RatioPopulation SurveillanceMelphalanComorbidityinternational classification of diseasesmultiple myelomaprognosissurvival

Identifiers

PMID28639741
PMCPMC5504337

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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.