Evidence map›Paper›PMID 40552139›Full record

ArticleBlood neoplasia2024

COVID-19 vaccination in patients with classic and variant hairy cell leukemia.

Robert J Kreitman, Lacey James, Julie Feurtado, Holly Eager, Olena Sierra Ortiz, Mory Gould, Isaac Shpilman, Hong Zhou, Peter D Burbelo, Jeffrey I Cohen and 3 more

Abstract read
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In one paragraph

Article in Blood neoplasia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Robert J KreitmanLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Lacey JamesLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Julie FeurtadoOffice of Research Nursing, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Holly EagerOffice of Research Nursing, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Olena Sierra OrtizOffice of Research Nursing, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Mory GouldLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Isaac ShpilmanLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Hong ZhouLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter D BurbeloNational Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, MD.
Jeffrey I CohenLaboratory of Infectious Disease, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD.
Hao-Wei WangLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Constance M YuanLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Evgeny AronsLaboratory of Molecular Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with the B-cell malignancy hairy cell leukemia (HCL) and the poorer-prognosis variant HCLv often receive anti-CD20 monoclonal antibodies (mAbs), which kill normal B cells, impairing humoral immunity. We measured COVID-19 antibodies after doses of COVID-19 vaccine in patients with HCL (n = 415) and HCLv (n = 32). After the second COVID-19 vaccine dose, spike antibody level most strongly correlated with normal B-cell levels (r = 0.365,

Identifiers

PMID40552139
PMCPMC12182860

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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.