Evidence map›Paper›PMID 32232186›Full record

ArticleAging medicine (Milton (N.S.W))2020

Recommendations for influenza and

Qiong Chen, Lijing Wang, Mingxuan Xie, Xiaoying Li, Recommendations for Influenza, Streptococcus pneumoniae Vaccination in Elderly People in China Writing Group, Geriatric Respiratory Group and Chinese Society of Geriatrics

Open access · diamondAbstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Short-term impact of ambient temperature on the incidence of influenza in Wuhan, China.Environmental science and pollution research international · 2022
    Article
  14. Article
  15. Article
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  18. Insight into 2019 novel coronavirus - An updated interim review and lessons from SARS-CoV and MERS-CoV.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Review
  19. Recommendations for influenza andAging medicine (Milton (N.S.W)) · 2020
    Article
  20. 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 at 2 institutions in 1 country.

Qiong ChenDepartment of Geriatrics Department of Respiratory Medicine Xiangya Hospital Central South University Changsha China.ORCID https://orcid.org/0000-0002-2534-8834
Lijing WangDepartment of Geriatrics Department of Respiratory Medicine Xiangya Hospital Central South University Changsha China.
Mingxuan XieDepartment of Geriatrics Department of Respiratory Medicine Xiangya Hospital Central South University Changsha China.
Xiaoying LiDepartment of Cardiovascular Medicine Chinese PLA General Hospital Beijing China.
Recommendations for Influenza, Streptococcus pneumoniae Vaccination in Elderly People in China Writing Group, Geriatric Respiratory Group and Chinese Society of Geriatrics
Central South University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza and pneumonia can be prevented by vaccination, but they remain major causes of morbidity and mortality in age-related diseases. In most areas of China, the rates of influenza and pneumococcal vaccination are relatively low and public awareness of vaccination remains insufficient. Thus, it is essential to recommend influenza and

Indexed as

elderly peopleinfluenzaStreptococcus pneumoniaevaccination

Identifiers

PMID32232186
PMCPMC7099755
OpenAlexW3011228288

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.