Evidence map›Paper›PMID 36319665›Full record

ArticleNPJ vaccines2022

DYNAMIC cohort study evaluating metabolic predictors of influenza vaccine immune response in older adults.

Sapna P Sadarangani, Barnaby E Young, Weixiang Lian, Hwee Pin Phua, Mark I-C Chen, Ian Barr, Tsin Wen Yeo, Rinkoo Dalan, Angela Chow

Abstract read
In one paragraph

Article in NPJ vaccines, 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

9 authors.

Sapna P SadaranganiNational Centre for Infectious Diseases, Singapore, Singapore. sapna_sadarangani@ncid.sg.ORCID http://orcid.org/0000-0002-8781-0713
Barnaby E YoungNational Centre for Infectious Diseases, Singapore, Singapore.
Weixiang LianDepartment of Preventive and Population Medicine, Office of Clinical Epidemiology, Analytics and Knowledge (OCEAN), Tan Tock Seng Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5401-522X
Hwee Pin PhuaDepartment of Preventive and Population Medicine, Office of Clinical Epidemiology, Analytics and Knowledge (OCEAN), Tan Tock Seng Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0001-6531-8536
Mark I-C ChenNational Centre for Infectious Diseases, Singapore, Singapore.
Ian BarrWHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-7351-418X
Tsin Wen YeoNational Centre for Infectious Diseases, Singapore, Singapore.
Rinkoo DalanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Angela ChowLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore. angela_chow@ttsh.com.sg.ORCID http://orcid.org/0000-0002-4063-736X

Funding

National Healthcare Group (NHG) NHG-CSCS/16001National Healthcare Group (NHG) NTG/13007
6 · The paper itself

Abstract

Immunosenescence (age-related immune dysfunction) and inflamm-aging contribute to suboptimal immune responses in older adults to standard-dose influenza vaccines, which may be exacerbated in those with metabolic co-morbidities. We sought to investigate metabolic factors/predictors of influenza vaccine immune response in an older adult (age ≥65 years) cohort in Singapore, where influenza typically circulates year-round. The primary outcome for the DYNAMIC prospective cohort study was haemagglutination-inhibition titer (HAI) response to each of the trivalent inactivated influenza vaccine strains at day 28 (D28) compared to baseline (D0), as assessed by seroconversion and D28/D0 log2 HAI fold rise. Baseline blood samples were tested for total Vitamin D (25-(OH) D) levels. We enrolled 234 participants in June-Dec 2017. Two hundred twenty completed all study visits. The median age was 71 [IQR 68-75] years, 67 (30.5%) had diabetes mellitus (DM), and the median BMI was 24.9 [IQR 22.2-27.8] kg/m

Identifiers

PMID36319665
PMCPMC9626497

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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.