Evidence map›Paper›PMID 36206503›Full record

ArticleBlood2022

Multiple COVID-19 vaccine doses in CLL and MBL improve immune responses with progressive and high seroconversion.

Yandong Shen, Jane A Freeman, Juliette Holland, Kartik Naidu, Ann Solterbeck, Nenna Van Bilsen, Paul Downe, Ian Kerridge, Lucinda Wallman, Anouschka Akerman and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 1 country.

Yandong ShenDepartment of Haematology, Royal North Shore Hospital, Sydney, NSW, Australia.ORCID 0000-0002-1344-5143
Jane A FreemanDepartment of Haematology and Flow Cytometry, Laverty Pathology, Sydney, NSW, Australia.ORCID 0000-0002-6337-1496
Juliette HollandDepartment of Microbiology, Laverty Pathology, Sydney, NSW, Australia.
Kartik NaiduDepartment of Microbiology, Laverty Pathology, Sydney, NSW, Australia.
Ann SolterbeckStatistical Revelations Pty Ltd, Ocean Grove, VIC, Australia.ORCID 0000-0002-0432-0226
Nenna Van BilsenDepartment of Haematology and Flow Cytometry, Laverty Pathology, Sydney, NSW, Australia.
Paul DowneDepartment of Haematology and Flow Cytometry, Laverty Pathology, Sydney, NSW, Australia.
Ian KerridgeDepartment of Haematology, Royal North Shore Hospital, Sydney, NSW, Australia.ORCID 0000-0001-7445-4660
Lucinda WallmanDepartment of Immunology, Laverty Pathology, Sydney, NSW, Australia.
Anouschka AkermanKirby Institute, University of New South Wales, Sydney, NSW, Australia.
Anupriya AggarwalKirby Institute, University of New South Wales, Sydney, NSW, Australia.
Vanessa MilogiannakisKirby Institute, University of New South Wales, Sydney, NSW, Australia.
Gabriela Martins Costa GomesWestmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-9807-7211
Chloe M DoyleWestmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia.
Kerrie J SandgrenWestmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-6894-935X
Stuart TurvilleKirby Institute, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-1918-5343
Anthony L CunninghamWestmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-6744-5667
Stephen P MulliganDepartment of Haematology, Royal North Shore Hospital, Sydney, NSW, Australia.ORCID 0000-0003-1928-2098
The University of Sydney · AUUNSW Sydney · AURoyal North Shore Hospital · AUSydney Adventist Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with chronic lymphocytic leukemia (CLL) or monoclonal B-lymphocytosis (MBL) have impaired response to COVID-19 vaccination. A total of 258 patients (215 with CLL and 43 with MBL) had antispike antibody levels evaluable for statistical analysis. The overall seroconversion rate in patients with CLL was 94.2% (antispike antibodies ≥50 AU/mL) and 100% in patients with MBL after multiple vaccine doses. After 3 doses (post-D3) in 167 patients with CLL, 73.7% were seropositive, 17.4% had antispike antibody levels between 50 and 999 AU/mL, and 56.3% had antispike antibody levels ≥1000 AU/mL, with a median rise from 144.6 to 1800.7 AU/mL. Of patients who were seronegative post-D2, 39.7% seroconverted post-D3. For those who then remained seronegative after their previous dose, seroconversion occurred in 40.6% post-D4, 46.2% post-D5, 16.7% post-D6, and 0% after D7 or D8. After seroconversion, most had a progressive increase in antispike antibody levels. Neutralization was associated with higher antispike antibody levels, more vaccine doses, and earlier severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants; neutralizing antibody against early clade D614G was detected in 65.3%, against Delta in 52.0%, and against Omicron in 36.5%. SARS-CoV-2-specific T-cell production of interferon γ and interleukin 2 occurred in 73.9% and 60.9%, respectively, of 23 patients tested. After multiple vaccine doses, by multivariate analysis, immunoglobulin M ≥0.53 g/L, immunoglobulin subclass G3 ≥0.22 g/L and absence of current CLL therapy were independent predictors of positive serological responses. Multiple sequential COVID-19 vaccination significantly increased seroconversion and antispike antibody levels in patients with CLL or MBL.

Indexed as

COVID-19Leukemia, Lymphocytic, Chronic, B-CellLymphocytosisAntibodies, ViralCOVID-19 VaccinesHumansImmunityImmunoglobulin GImmunoglobulin MSARS-CoV-2SeroconversionAntibodies, ViralCOVID-19 VaccinesImmunoglobulin GImmunoglobulin M

Identifiers

PMID36206503
PMCPMC9550283
OpenAlexW4303457344

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.