Evidence map›Paper›PMID 33367546›Full record

ArticleBlood2020

Clinical features associated with COVID-19 outcome in multiple myeloma: first results from the International Myeloma Society data set.

Ajai Chari, Mehmet Kemal Samur, Joaquin Martinez-Lopez, Gordon Cook, Noa Biran, Kwee Yong, Vania Hungria, Monika Engelhardt, Francesca Gay, Ana García Feria and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 7 pooled it
13.1field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 7 syntheses or guidelines pooled it, 185 citations in OpenAlex.

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63 more citing papers are in PubMed but not listed here.

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

25 authors at 20 institutions in 9 countries.

Ajai ChariDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Mehmet Kemal SamurDana-Farber Cancer Institute, Boston, MA.
Joaquin Martinez-LopezInstituto de Investigación, Hospital Universitario 12 de Octubre (i+12), Madrid, Spain.
Gordon CookLeeds Institute of Clinical Trial Research and.
Noa BiranJohn Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ.
Kwee YongDepartment of Haematology, University College London Hospitals National Health Service (NHS) Foundation Trust, London, United Kingdom.
Vania HungriaClínica São Germano, São Paulo, Brazil.
Monika EngelhardtMedical Department.
Francesca GayMyeloma Unit, Division of Hematology, University of Turin/Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Turin, Italy.
Ana García FeriaDepartment of Hematology, Hospital de Manises, Valencia, Spain.
Stefania OlivaHematology Laboratory, University of Turin, Turin, Italy.
Rimke OostvogelsDepartment of Haematology, University Medical Centre, Utrecht, The Netherlands.
Alessandro GozzettiDepartment of Hematology, University of Siena, Siena, Italy.
Cara RosenbaumCenter for Myeloma, New York Presbyterian Hospital-Weill Cornell Medical Center, New York, NY.
Shaji KumarDivision of Hematology, Mayo Clinic, Rochester, MN.
Edward A StadtmauerAbramson Cancer Center, University of Pennsylvania, Philadelphia, PA.
Hermann EinseleDepartment of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany.
Meral BeksacDepartment of Hematology, Ankara University, Ankara, Turkey.
Katja WeiselII Medizinische Klinik, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Kenneth C AndersonDana-Farber Cancer Institute, Boston, MA.
María-Victoria MateosInstituto de Investigación Biomédica de Salamanca (IBSAL), University Hospital of Salamanca, Salamanca, Spain.
Philippe MoreauDepartment of Hematology, University Hospital Hôtel-Dieu, Nantes, France.
Jesus San-MiguelClínica Universidad de Navarra and.
Nikhil C MunshiDana-Farber Cancer Institute, Boston, MA.
Hervé Avet-LoiseauIntergroupe Francophone du Myélome (IFM), Paris, France.
Harvard University · USAnkara University · TRAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITHackensack University Medical Center · USHospital de Manises · ESIcahn School of Medicine at Mount Sinai · USInserm · FRInstituto de Investigación Biomédica de Salamanca · ESIntergroupe Francophone du Myélome · FRMayo Clinic in Arizona · USNational Health Service · GBNavarre Institute of Health Research · ESNewYork–Presbyterian Hospital · USSão Germano Oncologia · BRUnited States Department of Veterans Affairs · USUniversidad Complutense de Madrid · ESUniversität Hamburg · DEUniversitätsklinikum Würzburg · DEUniversity Medical Center Utrecht · NLUniversity of Freiburg · DE

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C., MUNSHI, NIKHIL C. · 2003 to 2023
$45.0M
Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI RICHARD YOUNG · 2011 to 2026
$32.5M
MOLECULAR MANIPULATION TO ENHANCE ANTI-MYELOMA RESPONSEI01BX001584 · VA · VA BOSTON HEALTH CARE SYSTEM · PI MUNSHI, NIKHIL C. · 2013 to 2025
–
NCI NIH HHS P01 CA155258NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

The primary cause of morbidity and mortality in patients with multiple myeloma (MM) is an infection. Therefore, there is great concern about susceptibility to the outcome of COVID-19-infected patients with MM. This retrospective study describes the baseline characteristics and outcome data of COVID-19 infection in 650 patients with plasma cell disorders, collected by the International Myeloma Society to understand the initial challenges faced by myeloma patients during the COVID-19 pandemic. Analyses were performed for hospitalized MM patients. Among hospitalized patients, the median age was 69 years, and nearly all patients (96%) had MM. Approximately 36% were recently diagnosed (2019-2020), and 54% of patients were receiving first-line therapy. Thirty-three percent of patients have died, with significant geographic variability, ranging from 27% to 57% of hospitalized patients. Univariate analysis identified age, International Staging System stage 3 (ISS3), high-risk disease, renal disease, suboptimal myeloma control (active or progressive disease), and 1 or more comorbidities as risk factors for higher rates of death. Neither history of transplant, including within a year of COVID-19 diagnosis, nor other anti-MM treatments were associated with outcomes. Multivariate analysis found that only age, high-risk MM, renal disease, and suboptimal MM control remained independent predictors of adverse outcome with COVID-19 infection. The management of MM in the era of COVID-19 requires careful consideration of patient- and disease-related factors to decrease the risk of acquiring COVID-19 infection, while not compromising disease control through appropriate MM treatment. This study provides initial data to develop recommendations for the management of MM patients with COVID-19 infection.

Indexed as

InternationalitySocieties, MedicalAdultAgedAged, 80 and overCOVID-19FemaleHumansMaleMiddle AgedMultiple MyelomaMultivariate AnalysisOdds RatioRisk FactorsSARS-CoV-2

Identifiers

PMID33367546
PMCPMC7759145
OpenAlexW3096680486

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.