Evidence map›Paper›PMID 36388772›Full record

ArticleAnnals of translational medicine2022

Epidemic characteristics of

Yan-Tian Lv, Xiao-Jing Sun, Ying Chen, Ting Ruan, Guo-Peng Xu, Jian-An Huang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.5field-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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
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  17. The epidemic characteristics ofMicrobiology spectrum · 2024
    Article
  18. An exceptionally large wave ofTranslational pediatrics · 2024
    Article
  19. Article
  20. Association betweenBiomedical reports · 2024
    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

6 authors at 3 institutions in 1 country.

Yan-Tian Lv *Department of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiao-Jing Sun *Department of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ying ChenDepartment of Respiratory and Critical Medicine, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Ting RuanDepartment of Respiratory and Critical Medicine, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Guo-Peng XuDepartment of Respiratory and Critical Medicine, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Jian-An HuangDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Suzhou Municipal Hospital · CNSoochow University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Demographic characteristics, patient clinical information, and laboratory data of 81,131 patients with respiratory tract infections (RTIs) in the Affiliated Suzhou Hospital of Nanjing Medical University from 2014 to 2020 were retrospectively collected from all patient records. The serum particle agglutination (PA) test was used to determine Results: A total of 81,131 patients with RTIs were included, and 21,582 (26.60%) Conclusions:

Indexed as

childrenMycoplasma pneumoniae (M. Pneumoniae)pregnant womenrespiratory tract infection (RTI)severe Mycoplasma pneumoniae pneumonia (SMPP)

Identifiers

PMID36388772
PMCPMC9652570
OpenAlexW4307710459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.