Evidence map›Paper›PMID 38400166›Full record

ArticleVaccines2024

Effectiveness of BNT162b2 BA.4/5 Bivalent COVID-19 Vaccine against Long COVID Symptoms: A US Nationwide Study.

Manuela Di Fusco, Xiaowu Sun, Kristen E Allen, Alon Yehoshua, Alexandra Berk, Mary B Alvarez, Thomas M Porter, Jinma Ren, Laura Puzniak, Santiago M C Lopez and 1 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  8. Review
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

11 authors at 2 institutions in 1 country.

Manuela Di FuscoPfizer Inc., New York, NY 10001, USA.ORCID 0000-0003-0079-7331
Xiaowu SunCVS Health, Woonsocket, RI 02895, USA.ORCID 0000-0002-7960-4207
Kristen E AllenPfizer Inc., New York, NY 10001, USA.
Alon YehoshuaPfizer Inc., New York, NY 10001, USA.
Alexandra BerkCVS Health, Woonsocket, RI 02895, USA.
Mary B AlvarezPfizer Inc., New York, NY 10001, USA.
Thomas M PorterPfizer Inc., New York, NY 10001, USA.ORCID 0009-0005-5089-2873
Jinma RenPfizer Inc., New York, NY 10001, USA.
Laura PuzniakPfizer Inc., New York, NY 10001, USA.
Santiago M C LopezPfizer Inc., New York, NY 10001, USA.
Joseph C CappelleriPfizer Inc., New York, NY 10001, USA.ORCID 0000-0001-9586-0748
Pfizer (United States) · USCVS Health (United States) · US

Funding

Pfizer Inc. not available
6 · The paper itself

Abstract

backgroundLong COVID has become a central public health concern. This study characterized the effectiveness of BNT162b2 BA.4/5 bivalent COVID-19 vaccine (bivalent) against long COVID symptoms.

methodsSymptomatic US adult outpatients testing positive for SARS-CoV-2 were recruited between 2 March and 18 May 2023. Symptoms were assessed longitudinally using a CDC-based symptom questionnaire at Week 4, Month 3, and Month 6 following infection. The odds ratio (OR) of long COVID between vaccination groups was assessed by using mixed-effects logistic models, adjusting for multiple covariates.

resultsAt Week 4, among 505 participants, 260 (51%) were vaccinated with bivalent and 245 (49%) were unvaccinated. Mean age was 46.3 years, 70.7% were female, 25.1% had ≥1 comorbidity, 43.0% prior infection, 23.0% reported Nirmatrelvir/Ritonavir use. At Month 6, the bivalent cohort had 41% lower risk of long COVID with ≥3 symptoms (OR: 0.59, 95% CI, 0.36-0.96,

conclusionsCompared with unvaccinated participants, participants vaccinated with the bivalent were associated with approximately 40% lower risk of long COVID and less symptom burden over the six-month study duration.

Indexed as

BA.4/5bivalentBNT162b2COVID-19COVID-19 symptomslong COVIDPASCSARS-CoV-2

Identifiers

PMID38400166
PMCPMC10893330
OpenAlexW4391748040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.