Evidence map›Paper›PMID 35218499›Full record

ReviewCurrent oncology reports2022

What Do We Currently Know About Chronic Myeloid Leukemia (CML) and COVID-19?

Nancy Delgado, Anahí Torres

Abstract readReview
In one paragraph

Review in Current oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Impact of the COVID-19 pandemic on the diagnosis and treatment of onco-hematologic patients: a discussion paper.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023
    Review
  8. Review
  9. COVID-19 Impact on Chronic Myeloid Leukemia Patients.Journal of personalized medicine · 2022
    Article
  10. Article
  11. Article
  12. 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

2 authors.

Nancy DelgadoDepartment of Hematology, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de México, México. deln8@hotmail.com.
Anahí TorresDepartment of Hematology, Hospital General Regional No 72, Instituto Mexicano del Seguro Social, Ciudad de México, Estado de México, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCOVID-19 is highly contagious; since it was first identified, the virus has rapidly spread to more than 100 countries and was declared a pandemic on March 11, 2020, by the World Health Organization (WHO). This disease presents several challenges when managing patients with leukemia. We review the information about chronic myeloid leukemia (CML) and COVID-19: risk factors, prognosis, and the role of tyrosine kinase inhibitors (TKIs). RECENT

findingsAt present, we find no data suggesting that patients with CML-chronic phase (CML-CP) are at higher risk of infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) than the general healthy population. TKIs had been proposed to fight the SARS-CoV-2-related disease (COVID-19). CML patients should continue receiving their TKIs if they have COVID-19 disease. The role of TKIs as protective factors against SARS-CoV-2 infection in patients with CML should be confirmed by large-scale epidemiologic studies.

Indexed as

COVID-19Leukemia, Myelogenous, Chronic, BCR-ABL PositiveHumansPandemicsProtein Kinase InhibitorsSARS-CoV-2Protein Kinase InhibitorsChronic myeloid leukemiaCOVID-19ImatinibPandemicTreatmentTyrosine kinase inhibitors

Identifiers

PMID35218499
PMCPMC8881701

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.