Evidence map›Paper›PMID 37718131›Full record

ArticleHematology, transfusion and cell therapy

COVID-19 in multiple myeloma patients: frequencies and risk factors for hospitalization, ventilatory support, intensive care admission and mortality -cooperative registry from the Grupo Brasileiro de Mieloma Multiplo (GBRAM).

Marcia Garnica, Edvan De Queiroz Crusoe, Glaciano Ribeiro, Rosane Bittencourt, Roberto José Pessoa Magalhães, Karla Richter Zanella, Abrahão Elias Hallack Neto, Juliana Souza Lima, Caroline Bonamin Solo, Emmanuella Graciott Souza and 3 more

Abstract read
In one paragraph

Article in Hematology, transfusion and cell therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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

13 authors.

Marcia GarnicaUniversidade Federal do Rio de Janeiro (UFRJ), Brazil; Tranplant Unit, Complexo Hospitalar de Niterói (DASA - CHN), Brazil. Electronic address: marciagarnica@hucff.ufrj.br.
Edvan De Queiroz CrusoeHospital Universitário Professor Edgar Santos (HUPES), Universidade Federal da Bahia, Brazil.
Glaciano RibeiroUniversidade Federal de Minas Gerais, Brazil.
Rosane BittencourtUniversidade federal do Rio Grande do Sul, Brazil.
Roberto José Pessoa MagalhãesUniversidade Federal do Rio de Janeiro (UFRJ), Brazil.
Karla Richter ZanellaClinica Viver- CEPHON, Florianópolis, Brazil.
Abrahão Elias Hallack NetoUniversidade Federal de Juiz de Fora, Brazil.
Juliana Souza LimaIHOC/Curitiba, Curitiba, Brazil.
Caroline Bonamin SoloHC - UFPR, Curitiba, Brazil.
Emmanuella Graciott SouzaUniversidade Federal de Minas Gerais, Brazil.
Andre Magalhaes FernandesClinica CEHON- Juazeiro, Brazil.
Angelo MaiolinoUniversidade Federal do Rio de Janeiro (UFRJ), Brazil; Américas Centro de Oncologia Integrado, Brazil.
Vania HungriaHematology, Santa Casa Medical School, Brazil; São Germano Clinic, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study evaluated outcomes and risk factors for COVID-19 in 91 Brazilian multiple myeloma (MM) patients between April 2020 and January 2022.

resultsOf the 91 MM patients diagnosed with COVID-19, 64% had comorbidities and 66% required hospitalization due to COVID-19, with 44% needing ventilatory support and 37% intensive care. Age (OR 2.02; 95%CI 1.02 - 7.7) and hypertension OR 4.5; 95%CI 1.3 - 15.5) were independently associated with hospitalization and certain MM therapies (corticosteroids and monoclonal drugs) were associated with ventilatory support (OR 4.3; 95%CI 1.3 - 14 and OR 5.7; 95%CI 1.8 - 18, respectively), while corticosteroids and immunomodulatory drugs were linked to ICU admission (OR 5.1; 95% CI 1.4 - 18 and OR 3.4; 95%CI 1.1 - 10, respectively). The overall mortality rate was 30%, with the highest rate observed in the ICU (73%). Additionally, the ECOG performance status was linked to increased mortality (OR 11.5; 95%CI 1.9 - 69). The MM treatment was delayed in 63% of patients who recovered from COVID-19.

conclusionsThe findings highlight the need for preventing COVID-19 and prioritizing vaccination among MM patients, as they have high rates of severe outcomes in the event of COVID-19. It is also essential to monitor the potential clinical impacts of COVID-19 on MM patients in the long-term. Given the limited resources available in treating MM patients in Brazil during the COVID-19 pandemic, outcomes might be worse in this population.

Indexed as

COVID-19InfectionMortalityMultiple myelomaSARS-Cov 2

Identifiers

PMID37718131
PMCPMC11150487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.