Evidence map›Paper›PMID 34547678›Full record

SynthesisInternational immunopharmacology2021

Pre-existing interstitial lung disease in patients with coronavirus disease 2019: A meta-analysis.

Lichen Ouyang, Jie Gong, Muqing Yu

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Pulmonary Fibrosis in the Time of COVID-19.Archivos de bronconeumologia · 2022
    Article
  14. 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

3 authors at 3 institutions in 1 country.

Lichen OuyangDepartment of Immunology, School of Medicine, Jianghan University, Wuhan, China. Electronic address: ouyanglichen@hotmail.com.
Jie GongDepartment of Anesthesiology, Union Hospital, Tongji Medical College, HuazhongUniversity of Science and Technology, Wuhan, China; The Clinical Skill Center, The First Clinical College, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Muqing YuDepartment of Respiratory and Critical Care Medicine, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. Electronic address: mqyu@tjh.tjmu.edu.cn.
Huazhong University of Science and Technology · CNJianghan University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of pre-existing interstitial lung disease (ILD) on the severity and mortality of COVID-19 remains largely unknown. The purpose of this meta-analysis was to investigate the prevalence of ILD among patients with COVID-19 and figure out the relationship between ILD and the poor clinical outcomes of COVID-19.

methodsA systematic literature search was conducted in the PubMed, EMBASE, Web of Science and MedRxiv Database from 1 January 2020 to 26 May 2021.

results15 studies with 135,263 COVID-19 patients were included for analysis of ILD prevalence. The pooled prevalence of comorbid ILD in patients with COVID-19 was 1.4% (95% CI, 1.1%-1.8%, I

conclusionsThere is great variability in ILD prevalence among patients with COVID-19 across the globe. Pre-existing ILD is associated with higher severity and mortality of COVID-19.

Indexed as

SARS-CoV-2COVID-19HumansIntensive Care UnitsLung Diseases, InterstitialPrevalenceSeverity of Illness IndexCOVID-19Interstitial lung disease

Identifiers

PMID34547678
PMCPMC8450148
OpenAlexW3196372973

What OpenQuestion holds

Textmetadata
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.