Evidence map›Paper›PMID 39849948›Full record

ArticleHuman vaccines & immunotherapeutics2025

Unreliable information and fear: Barriers to vaccination among IBD patients in China.

Jingwen Liu, Zelin Yan, Wen Hu, Shuyan Li, Yan Chen

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jingwen LiuCenter of Inflammatory Bowel Disease, Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zelin YanDepartment of Gastroenterology, the First Affiliated Hospital of Zhejiang Chinese Medical University, Zhejiang Provincial Key Laboratory of Gastrointestinal Diseases Pathophysiology, Hangzhou, China.
Wen HuCenter of Inflammatory Bowel Disease, Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shuyan LiDepartment of Nursing, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yan ChenCenter of Inflammatory Bowel Disease, Department of Gastroenterology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-3457-2560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination plays a crucial role in safeguarding individuals with inflammatory bowel disease (IBD) from potential epidemics. In light of the resurgence of COVID-19 in China, unvaccinated IBD patients are vulnerable to infection and potentially serious complications. The aim of this study is to assess the vaccination uptake and willingness among IBD patients, as well as to explore the factors influencing their decision to decline vaccination. An online questionnaire was distributed and analyzed. Bivariate analyses and logistic regression models were used to identify relevant factors. Two hundred and three patients from 243 non-vaccinated respondents were included in the analysis. A total of 167 (82.3%) respondents continued to decline vaccination, with individuals holding stable employment and higher family income displaying significantly lower intent (

Indexed as

COVID-19COVID-19 VaccinesFearInflammatory Bowel DiseasesPatient Acceptance of Health CareVaccinationVaccination HesitancyAdultAgedChinaFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSARS-CoV-2COVID-19 VaccinesCOVID-19 vaccinationinflammatory bowel diseasevaccine hesitancy

Identifiers

PMID39849948
PMCPMC11776460

What OpenQuestion holds

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LicenceCC BY-NC
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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.