Evidence map›Paper›PMID 35318291›Full record

Observational studyKidney & blood pressure research2022

The DiaCoVAb Study in South Italy: Immune Response to SARS-CoV-2 Vaccination in Dialysis Patients.

Alessandra Fucci, Simona Giacobbe, Ilaria Guerriero, Yoko Suzumoto, Egildo Luca D'Andrea, Marianna Scrima, Maria Luisa Nolli, Anna Iervolino, Luigi Amedeo Chiuchiolo, Ermanno Salvatore and 9 more

Abstract readObservational Study
In one paragraph

Observational study in Kidney & blood pressure research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Expected Response to the Additional Fifth Dose of COVID-19 Vaccine.International journal of preventive medicine · 2023
    Article
  7. Observational
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

19 authors.

Alessandra FucciBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Simona GiacobbeBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Ilaria GuerrieroBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Yoko SuzumotoBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Egildo Luca D'AndreaBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Marianna ScrimaBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Maria Luisa NolliBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Anna IervolinoBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.
Luigi Amedeo ChiuchioloHaemodialysis Center Dialysis Srl, Avellino, Italy.
Ermanno SalvatoreHaemodialysis Center Capodicasa Srl, Avellino, Italy.
Roberta RenzulliHaemodialysis Center Irpinia Dialisi Srl, Pratola Serra, Italy.
Ludovico La PeccerellaHaemodialysis Center Padre Pio Srl, Benevento, Italy.
Giuseppe MarraHaemodialysis Center Neoren Srl, Montesarchio, Italy.
Marco LiuzziHaemodialysis Center Sanniomedica Srl, Telese Terme, Italy.
Domenico SantoroHaemodialysis Center Alta Irpinia Srl, Calitri, Italy.
Enrico ZulliHaemodialysis Center Alta Irpinia Srl, Calitri, Italy.
Romolo GentileHaemodialysis Center Alta Irpinia Srl, Calitri, Italy.
Gennaro ClementeIRPPS, Institute for Research on Population and Social Policies, CNR, Fisciano, Italy.
Giovambattista CapassoBiogem, Biology and Molecular Genetics Institute, Ariano Irpino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the pandemic of COVID-19 started from December 2019, remarkable numbers of infections and deaths associated with COVID-19 have been recorded worldwide. End-stage kidney disease patients on dialysis are particularly at high risk of infections due to impairments in the innate and adaptive immune systems. Vaccination on dialysis patients (DP) still remains challenging because of the variable response and a low seroconversion rate compared with healthy participants (HP). Therefore, it is urgently necessary to establish a different vaccination strategy for DP, in terms of the dose and administration time.

methodsHere, we report an observational prospective cohort study in which the immunogenic efficacies of SARS-CoV-2 vaccine BNT162b2 on DP and HP were evaluated by absolute quantification of IgG levels in the blood.

resultsDP showed a delayed seroconversion after two vaccine doses, with a low absolute IgG levels compared to HP. While HP reached complete seroconversion within 10 days from the administration of a second dose, only 76% of DP were seropositive. After the booster dose, DP had a strongly improved seroconversion rate as well as antibody levels, reaching 97% seropositivity and 50 times enhancement on antibody levels. DISCUSSION/

conclusionThese results prompt to suggest an additional vaccine dose in DP, reducing the interval of time from the second dose. Since limited data are available on immune response in DP overtime after three vaccine doses currently, our study is among the first reports demonstrating the improved seropositivity and IgG levels in DP after the booster vaccine dose.

Indexed as

COVID-19Viral VaccinesAntibodies, ViralBNT162 VaccineCohort StudiesCOVID-19 VaccinesHumansImmunityImmunoglobulin GProspective StudiesRenal DialysisSARS-CoV-2VaccinationAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesImmunoglobulin GViral VaccinesBoosterDialysisSevere acute respiratory syndrome coronavirus 2Vaccination

Identifiers

PMID35318291
PMCPMC9148885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.