Evidence map›Paper›PMID 36003404›Full record

ArticleFrontiers in immunology2022

Evaluation of serological response to anti-SARS-CoV-2 mRNA vaccination in hematological patients.

Sara Pasquina Pascale, Roberta Nuccorini, Teresa Pierri, Roberta Di Mare, Lucia Fabio, Emilia Lerose, Maria Antonietta Merlino, Pietro Schiavo, Angela Amendola, Gino Brucoli and 17 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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

27 authors at 3 institutions in 1 country.

Sara Pasquina PascaleUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Roberta NuccoriniUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Teresa PierriUO di Medicina Trasfusionale, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Roberta Di MareUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Lucia FabioUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Emilia LeroseUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Maria Antonietta MerlinoUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Pietro SchiavoUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Angela AmendolaUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Gino BrucoliUO di Medicina Trasfusionale, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Maria Denise CaputoUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Ida ChitarrelliUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Michele CimminielloUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Sabrina ColuzziUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Nunzio Biagio FilardiUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Angela MatturroUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Domenico VertoneUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Monica PoggiaspallaHematology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Francesco MalaspinaHematology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Gerardo MusuracaHematology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Gennaro CoralluzzoUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Clara MannarellaUOS di Ematologia, Presidio Ospedaliero "Madonna delle Grazie", Matera, Italy.
Clelia MustoUO di Medicina Trasfusionale, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Angela Pia BellettieriDirezione Sanitaria, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Giovanni MartinelliHematology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Claudio CerchioneHematology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Michele PizzutiUOC di Ematologia, Azienda Ospedaliera Regionale "San Carlo", Potenza, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · ITIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITPresidio Ospedaliero · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In immunocompromised patients, SARS-CoV-2 mRNA vaccine has been used in Italy from the beginning of the vaccination campaign, but several studies have shown that the serological response of onco-hematological patients was reduced compared to healthy subjects, due to the state of immunosuppression because of both underlying disease and administered therapy. Methods: We evaluated the association of anti-SARS-CoV-2 spike IgG titers in 215 hematological patients with clinical and demographic variables to verify if it was possible to identify predictive parameters of serological response, as well as using a control group, consisting of healthy health workers of San Carlo Hospital in Potenza. Anti-SARS-CoV2 IgG titers were evaluated after 30-45 days post second dose vaccine using chemiluminescent microparticle immunoassay technology. Results: Patients with hematological malignancies, compared with the control arm, had both a mean concentration of anti-SARS-CoV-2 IgG significantly lower and a seroconversion rate numerically lower. All chronic lymphatic leukemia patients showed levels of antibody titer below the mean concentration, also in only clinical surveillance patients. Comparing serological response in hematological malignancies, only acute leukemia patients who were off therapy had the highest seroconversion rate among the patients' cohorts and a mean antibody concentration greater than the control arm. Patients treated with steroids and rituximab showed a lower level of anti-SARS-CoV-2 spike IgG. Differences in anti-spike IgG levels among chronic myeloid leukemia patients stratified according to tyrosine kinase inhibitor therapy and molecular response were observed, and they could have interesting implications on the evaluation of the effects of these drugs on the immune system, but having not reached statistical significance at the moment. The cohort of patients who received a stem cell transplant was very heterogeneous because it included different hematological malignancies and different types of transplant; however, a mean concentration of anti-SARS-CoV2 IgG greater than the control arm was reported. Indeed, among patients who performed a transplant for over 6 months only one had a spike IgG concentration below the cutoff. Conclusions: Our data confirm reduced serological response in hematological patients after anti-SARS-CoV-2 vaccination. However, we found a great diversity of SARS-CoV-2 antibody response according to types of pathologies and therapies.

Indexed as

COVID-19Hematologic NeoplasmsAntibodies, ViralCOVID-19 VaccinesHumansImmunoglobulin GmRNA VaccinesRNA, MessengerSARS-CoV-2VaccinationVaccines, SyntheticAntibodies, ViralCOVID-19 VaccinesImmunoglobulin GmRNA VaccinesRNA, MessengerVaccines, Syntheticanti-spike IgGhematological malignanciesmRNA vaccinationonco-hematologySARS-COV-2

Identifiers

PMID36003404
PMCPMC9393554
OpenAlexW4290612580

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.