Evidence map›Paper›PMID 35304771›Full record

ArticleHematological oncology2022

Current perspectives regarding SARS-CoV-2 vaccination in chronic lymphocytic leukemia.

Stefano Molica, Constantine Tam, Aaron Polliack

Open access · greenAbstract read
In one paragraph

Article in Hematological oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 3 institutions in 3 countries.

Stefano MolicaDepartment of Hematology, Hull University Teaching Hospitals NHS Trust, Hull, UK.ORCID https://orcid.org/0000-0003-2795-6507
Constantine TamSt Vincent's Hospital, Peter MacCallum Cancer Centre and University of Melbourne, Melbourne, Victoria, Australia.
Aaron PolliackDepartment of Hematology, Hadassah-Hebrew-University Medical Center, Jerusalem, Israel.
Hadassah Medical Center · ILThe University of Melbourne · AUUniversity of Hull · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In immunocompetent people, the mRNA vaccines BNT162b2 and mRNA-1273 have been shown to be safe and effective against coronavirus disease of 2019 (COVID-19). However, results of cohort studies and meta-analyses have indicated that the degree of humoral response to SARS-CoV-2 vaccines in patients with chronic lymphocytic leukemia (CLL) appears to be lower than that observed in the general population. These inadequate responses are mainly related to the disease itself and to the immunosuppressive effect of therapies administered. In the specific context of CLL, enrolling patients with sub-optimal vaccine-response in pivotal vaccine trials could be considered as an appropriate approach to improve response to the COVID-19 vaccine. These clinical trials should also address the issues of regularity and timing of vaccine booster doses or re-vaccinations, especially in patients undergoing therapy with pathway-targeting agents and anti-CD20 monoclonal antibodies. However, since hypogammaglobulinemia is a serious consequence of CLL, patients who do not have a detectable antibody response should be natural candidates for preventive antibody therapy.

Indexed as

COVID-19COVID-19 VaccinesLeukemia, Lymphocytic, Chronic, B-CellViral VaccinesBNT162 VaccineHumansSARS-CoV-2VaccinationBNT162 VaccineCOVID-19 VaccinesViral Vaccineschronic lymphocytic leukemiaCLLimmunological responseSARS-CoV-2 vaccinationvaccine booster dose

Identifiers

PMID35304771
PMCPMC9087408
OpenAlexW4221089857

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.