Evidence map›Paper›PMID 35780254›Full record

ArticleAnnals of hematology2022

Applicability of probabilistic graphical models for early detection of SARS-CoV-2 reactive antibodies after SARS-CoV-2 vaccination in hematological patients.

José Luis Piñana, Pablo Rodríguez-Belenguer, Dolores Caballero, Rodrigo Martino, Lucia Lopez-Corral, María-José Terol, Lourdes Vazquez, Marisa Calabuig, Gabriela Sanz-Linares, Francisca Marin-Jimenez and 23 more

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Article in Annals of hematology, 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
1.0field-weighted citation impact, top 23% 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, 10 citations in OpenAlex.

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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

33 authors at 18 institutions in 1 country.

José Luis PiñanaHematology Department, Hospital Clínico Universitario de Valencia, Avda Blasco Ibañez, 17, 46010, Valencia, Spain. jlpinana@gmail.com.ORCID http://orcid.org/0000-0001-8533-2562
Pablo Rodríguez-BelenguerResearch Program on Biomedical Informatics (GRIB), Department of Experimental and Health Sciences, Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, Barcelona, Spain.
Dolores CaballeroHematology department, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain.
Rodrigo MartinoHematology Division, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Lucia Lopez-CorralHematology department, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain.
María-José TerolHematology Department, Hospital Clínico Universitario de Valencia, Avda Blasco Ibañez, 17, 46010, Valencia, Spain.
Lourdes VazquezHematology department, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain.
Marisa CalabuigHematology Department, Hospital Clínico Universitario de Valencia, Avda Blasco Ibañez, 17, 46010, Valencia, Spain.
Gabriela Sanz-LinaresClinical Hematology Division, Institut Català Oncologia-Hospitalet, IDIBELL, Universitat de Barcelona, Barcelona, Spain.
Francisca Marin-JimenezHematology Division, Hospital General universitari d'Elx, Elche, Spain.
Carmen AlonsoHematology Division, Hospital Arnau de Vilanova, Valencia, Spain.
Juan MontoroHematology Division, Hospital universitario y politécnico La Fe, Valencia, Spain.
Elena FerrerHematology Department, Hospital Clínico Universitario de Valencia, Avda Blasco Ibañez, 17, 46010, Valencia, Spain.
Ana FacalHematology Division, Hospital universitario y politécnico La Fe, Valencia, Spain.
María-Jesús PascualHematology Division, Hospital Regional Universitario Carlos Haya, Malaga, Spain.
Alicia Rodriguez-FernandezHematology Division, Hospital Universitario Virgen Macarena, Sevilla, Spain.
María T OlaveHematology Division, Hospital Clínico Universitario Lozano Blesa, IIS Aragon, Zaragoza, Spain.
Almudena Cascales-HernandezHematology Division, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain.
Beatriz GagoHematology Division, Hospital Regional Universitario Carlos Haya, Malaga, Spain.
José-Ángel Hernández-RivasHematology Division, Hospital Universitario Infanta Leonor, Madrid, Spain.
Lucia VillalonHematology Division, Hospital Universitario Fundación Alcorcón, Madrid, Spain.
Magdalena CoronaHematology Division, Hospital Ramon y Cajal, Madrid, Spain.
Alicia Roldán-PérezHematology Division, Hospital Universitario Infanta Sofia, Madrid, Spain.
Julia Ribes-AmorosClinical Hematology Division, Institut Català Oncologia-Hospitalet, IDIBELL, Universitat de Barcelona, Barcelona, Spain.
Clara González-SantillanaHematology Division, Hospital Universitario de Fuenlabrada, Madrid, Spain.
Ramon Garcia-SanzHematology department, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain.
David NavarroDepartment of Medicine, School of Medicine, University of Valencia, Valencia, Spain.
Antonio J Serrano-LópezIDAL, Intelligent Data Analysis Laboratory, ETSE, Universitat de Valencia, Valencia, Spain.
Ángel CedilloHematopoietic Stem Cell Transplantation and Cell Therapy Group (GETH), Valencia, Spain.
Emilio Soria-OlivasIDAL, Intelligent Data Analysis Laboratory, ETSE, Universitat de Valencia, Valencia, Spain.
Anna SuredaClinical Hematology Division, Institut Català Oncologia-Hospitalet, IDIBELL, Universitat de Barcelona, Barcelona, Spain.
Carlos SolanoHematology Department, Hospital Clínico Universitario de Valencia, Avda Blasco Ibañez, 17, 46010, Valencia, Spain.
Infectious Complications Subcommittee of the Spanish Hematopoietic Stem Cell Transplantation and Cell Therapy Group (GETH-TC)
Hospital Clínico Universitario de Valencia · ESInstituto de Investigación Biomédica de Salamanca · ESUniversitat de València · ESInstitut d'Investigació Biomédica de Bellvitge · ESHospital Regional Universitario de Málaga · ESHospital Universitari i Politècnic La Fe · ESHospital Arnau de Vilanova · ESHospital Clínico Universitario Lozano Blesa · ESHospital de Sant Pau · ESHospital General Universitario de Elche · ESHospital Universitario de Fuenlabrada · ESHospital Universitario Fundación Alcorcón · ESHospital Universitario Infanta Leonor · ESHospital Universitario Infanta Sofía · ESHospital Universitario Ramón y Cajal · ESHospital Universitario Virgen de la Arrixaca · ESHospital Universitario Virgen Macarena · ESUniversitat Pompeu Fabra · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prior studies of antibody response after full SARS-CoV-2 vaccination in hematological patients have confirmed lower antibody levels compared to the general population. Serological response in hematological patients varies widely according to the disease type and its status, and the treatment given and its timing with respect to vaccination. Through probabilistic machine learning graphical models, we estimated the conditional probabilities of having detectable anti-SARS-CoV-2 antibodies at 3-6 weeks after SARS-CoV-2 vaccination in a large cohort of patients with several hematological diseases (n= 1166). Most patients received mRNA-based vaccines (97%), mainly Moderna® mRNA-1273 (74%) followed by Pfizer-BioNTech® BNT162b2 (23%). The overall antibody detection rate at 3 to 6 weeks after full vaccination for the entire cohort was 79%. Variables such as type of disease, timing of anti-CD20 monoclonal antibody therapy, age, corticosteroids therapy, vaccine type, disease status, or prior infection with SARS-CoV-2 are among the most relevant conditions influencing SARS-CoV-2-IgG-reactive antibody detection. A lower probability of having detectable antibodies was observed in patients with B-cell non-Hodgkin's lymphoma treated with anti-CD20 monoclonal antibodies within 6 months before vaccination (29.32%), whereas the highest probability was observed in younger patients with chronic myeloproliferative neoplasms (99.53%). The Moderna® mRNA-1273 compound provided higher probabilities of antibody detection in all scenarios. This study depicts conditional probabilities of having detectable antibodies in the whole cohort and in specific scenarios such as B cell NHL, CLL, MM, and cMPN that may impact humoral responses. These results could be useful to focus on additional preventive and/or monitoring interventions in these highly immunosuppressed hematological patients.

Indexed as

Antineoplastic AgentsCOVID-19Antibodies, MonoclonalAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesEarly Detection of CancerHumansSARS-CoV-2VaccinationAntibodies, MonoclonalAntibodies, ViralAntineoplastic AgentsBNT162 VaccineCOVID-19 VaccinesAllogeneic stem cell transplantationAutologous stem cell transplantationBayesian NetworksCAR-T therapyChronic lymphocytic leukemiaCOVID-19Hematological malignanciesImmunocompromised patientsModerna mRNA-1273mRNA vaccineNon-Hodgkin lymphomaPfizer-BioNTech BNT162b2Probabilistic graphical modelsRespiratory virusSARS-CoV-2 vaccines

Identifiers

PMID35780254
OpenAlexW4283787468

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