Evidence map›Paper›PMID 32205590›Full record

ArticleCritical care medicine2020

Association Between Cardiac Injury and Mortality in Hospitalized Patients Infected With Avian Influenza A (H7N9) Virus.

Chang Gao, Yeming Wang, Xiaoying Gu, Xinghua Shen, Daming Zhou, Shujun Zhou, Jian-An Huang, Bin Cao, Qiang Guo, Community-Acquired Pneumonia–China Network

Open access · hybridAbstract read
In one paragraph

Article in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
12.5field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Community-acquired pneumonia withJournal of thoracic disease · 2026
    Article
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  8. Observational
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  20. Neurological and psychiatric presentations associated with COVID-19.European archives of psychiatry and clinical neuroscience · 2022
    Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Chang GaoDepartment of Critical Care Medicine, Dushuhu Public Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China.
Yeming WangDepartment of Pulmonary and Critical Care Medicine, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.
Xiaoying GuInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China.
Xinghua ShenDepartment of Critical Care Medicine, The Fifth People's Hospital of Suzhou, Suzhou, Jiangsu, China.
Daming ZhouDepartment of infectious diseases, Taizhou People's Hospital, Taizhou, Jiangsu, China.
Shujun ZhouDepartment of Critical Care Medicine, The Third Affiliated Hospital of Soochow University, The First People's Hospital of Changzhou, Changzhou, Jiangsu, China.
Jian-An HuangDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Bin CaoDepartment of Pulmonary and Critical Care Medicine, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.
Qiang GuoDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Community-Acquired Pneumonia–China Network
Soochow University · CNCenter for Life Sciences · CNChina-Japan Friendship Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFirst Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the prevalence of cardiac injury and its association with mortality in hospitalized patients infected with avian influenza A (H7N9) virus.

designRetrospective cohort study.

settingA total of 133 hospitals in 17 provinces, autonomous regions, and municipalities of mainland China that admitted influenza A (H7N9) virus-infected patients between January 22, 2015, and June 16, 2017. PATIENTS: A total of 321 patients with influenza A (H7N9) virus infection were included in the final analysis.

interventionsNone. MEASUREMENTS AND MAIN

resultsDemographics and clinical characteristics were collected from medical records. Cardiac injury was defined according to cardiac biomarkers, electrocardiography, or echocardiography. Among the 321 patients, 203 (63.2%) showed evidence of cardiac injury. Compared with the uninjured group, the cardiac injury group had lower PaO2/FIO2 (median, 102.0 vs 148.4 mm Hg; p < 0.001), higher Acute Physiology and Chronic Health Evaluation II score (median, 17.0 vs 11.0; p < 0.001), longer stay in the ICU (10.0 vs 9.0 d; p = 0.029), and higher proportion of in-hospital death (64.0% vs 20.3%; p < 0.001). The proportion of virus clearance until discharge or death was lower in the cardiac injury group than in the uninjured group (58.6% vs 86.4%; p < 0.001). Multivariable-adjusted Cox proportional hazards regression analysis showed that cardiac injury was associated with higher mortality (hazards ratio, 2.06; 95% CI, 1.31-3.24) during hospitalization.

conclusionsCardiac injury is a frequent condition among hospitalized patients infected with influenza A (H7N9) virus, and it is associated with higher risk of mortality.

Indexed as

AdultAge FactorsChinaCoronavirus InfectionsCritical IllnessFemaleHeart InjuriesHumansInfluenza A Virus, H7N9 SubtypeInfluenza, HumanMaleMiddle AgedRespiratory Distress SyndromeRetrospective StudiesSocioeconomic Factors

Identifiers

PMID32205590
PMCPMC7098447
OpenAlexW3000139095

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.