Evidence map›Paper›PMID 33077708›Full record

ArticleBlood cancer journal2020

Multiple myeloma and SARS-CoV-2 infection: clinical characteristics and prognostic factors of inpatient mortality.

Joaquín Martínez-López, María-Victoria Mateos, Cristina Encinas, Anna Sureda, José Ángel Hernández-Rivas, Ana Lopez de la Guía, Diego Conde, Isabel Krsnik, Elena Prieto, Rosalía Riaza Grau and 15 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 11 pooled it
–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

59 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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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

25 authors.

Joaquín Martínez-LópezHospital Universitario 12 de Octubre, i+12, Complutense University, CNIO, CIBERONC number CB16/12/00369, Madrid, Spain.ORCID 0000-0001-7908-0063
María-Victoria MateosHospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Centro de Investigación del Cancer (IBMCC-USAL, CSIC), CIBER-ONC number CB16/12/00233, Salamanca, Spain. mvmateos@usal.es.ORCID 0000-0003-2390-1218
Cristina EncinasHospital Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Anna SuredaHospital Durán i Reynals-ICO, L´Hospitalet, Spain.
José Ángel Hernández-RivasHospital Universitario Infanta Leonor, Madrid, Spain.
Ana Lopez de la GuíaHospital Universitario La Paz, Madrid, Spain.
Diego CondeHospital Universitario Príncipe de Asturias, Madrid, Spain.
Isabel KrsnikHospital Universitario Puerta de Hierro, Madrid, Spain.
Elena PrietoHospital Universitario Fundación Jiménez Diaz, Madrid, Spain.
Rosalía Riaza GrauHospital Severo Ochoa, Madrid, Spain.
Mercedes GironellaHopital Universitario Vall d´Hebron, Barcelona, Spain.ORCID 0000-0002-8106-8909
María Jesús BlanchardHospital Universitario Ramon y Cajal, Madrid, Spain.
Nerea CaminosHospital Universitario de Donostia, Donostia, Spain.
Carlos Fernández de LarreaHospital Clínic IDIBAPS, Barcelona, Spain.
María Alicia SeninInstitut Català d'Oncologia i Institut Josep Carreras, Badalona, Spain.
Fernando EscalanteHospital de León, León, Spain.
José Enrique de la PuertaHospital de Galdakao, Vizcaya, Spain.ORCID 0000-0003-2563-7510
Eugenio GiménezHospital Infanta Sofía, Madrid, Spain.
Pilar Martínez-BarrancoHospital de Alcorcón, Madrid, Spain.
Juan José MateosHospital de Cruces, Bilbao, Spain.
Luis Felipe CasadoHospital Virgen de la Salud, Toledo, Spain.
Joan BladéHospital Clínic IDIBAPS, Barcelona, Spain.
Juan José LahuertaHospital Universitario 12 de Octubre, i+12, Complutense University, CNIO, CIBERONC number CB16/12/00369, Madrid, Spain.ORCID 0000-0002-3393-9570
Javier de la CruzHospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria i + 12, RedSAMID RD16/0022/0011, Madrid, Spain.
Jesús San-MiguelClinica Universidad de Navarra, Centro de Investigación Medica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Pamplona, Spain.ORCID 0000-0002-9183-4857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited information on the characteristics, prognostic factors, and outcomes of patients with multiple myeloma (MM) hospitalized with COVID-19. This retrospective case series investigated 167 patients reported from 73 hospitals within the Spanish Myeloma Collaborative Group network in March and April, 2020. Outcomes were compared with 167 randomly selected, contemporary, age-/sex-matched noncancer patients with COVID-19 admitted at six participating hospitals. Among MM and noncancer patients, median age was 71 years, and 57% of patients were male; 75 and 77% of patients, respectively, had at least one comorbidity. COVID-19 clinical severity was moderate-severe in 77 and 89% of patients and critical in 8 and 4%, respectively. Supplemental oxygen was required by 47 and 55% of MM and noncancer patients, respectively, and 21%/9% vs 8%/6% required noninvasive/invasive ventilation. Inpatient mortality was 34 and 23% in MM and noncancer patients, respectively. Among MM patients, inpatient mortality was 41% in males, 42% in patients aged >65 years, 49% in patients with active/progressive MM at hospitalization, and 59% in patients with comorbid renal disease at hospitalization, which were independent prognostic factors on adjusted multivariate analysis. This case series demonstrates the increased risk and identifies predictors of inpatient mortality among MM patients hospitalized with COVID-19.

Indexed as

PrognosisAgedBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19FemaleHospitalizationHumansInpatientsKidneyMaleMiddle AgedMultiple MyelomaPandemicsPneumonia, Viral

Identifiers

PMID33077708
PMCPMC7570395

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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.