Evidence map›Paper›PMID 33102597›Full record

SynthesisBioMed research international2020

Vitamin C as a Supplementary Therapy in Relieving Symptoms of the Common Cold: A Meta-Analysis of 10 Randomized Controlled Trials.

Li Ran, Wenli Zhao, Hongwu Wang, Ye Zhao, Huaien Bu

Erratum issuedOpen access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Frontiers in immunology · 2025
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Li RanGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Wenli ZhaoLiver Center, Saga University Hospital, Saga University, 849-8501, Japan.
Hongwu WangSchool of Health science and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Ye ZhaoQingdao Academy of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China.ORCID https://orcid.org/0000-0001-5969-1203
Huaien BuSchool of Health science and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.ORCID https://orcid.org/0000-0002-4197-8000
Tianjin University of Traditional Chinese Medicine · CNSaga University · JPShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate whether vitamin C performs well as a supplemental treatment for common cold.

methodAfter systematically searching through the National Library of Medicine (PubMed), Cochrane Library, Elsevier, China National Knowledge Infrastructure (CNKI), VIP databases, and Wanfang databases, 10 randomized controlled trials were selected for our meta-analysis with RevMan 5.3 software. Published in China, all 10 studies evaluated the effect of combined vitamin C and antiviral therapy for the treatment of common cold.

resultsThe total efficacy (RR = 1.27, 95% CI (1.08, 1.48),

conclusionsVitamin C could be used as a supplementary therapy along with antiviral regimens to relieve patients from the symptoms of common cold.

Indexed as

AdultAntiviral AgentsAscorbic AcidChild, PreschoolCommon ColdDietary SupplementsFemaleHumansMaleRandomized Controlled Trials as TopicYoung AdultAntiviral AgentsAscorbic Acid

Identifiers

PMID33102597
PMCPMC7569434
OpenAlexW3092412855

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.