Evidence map›Paper›PMID 34762754›Full record

ArticleJournal of clinical laboratory analysis2021

Comparative study of hematological and radiological feature of severe/critically ill patients with COVID-19, influenza A H7N9, and H1N1 pneumonia.

Jindan Kong, Yan Hao, Shan Wan, Zheng Li, Di Zou, Leisi Zhang, Yin Lu, Jun Wang, Xiaochen Chen, Jianhong Fu

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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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

10 authors at 1 institution in 1 country.

Jindan KongDepartment of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, China.
Yan HaoDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Shan WanDepartment of Pathology, School of Biology and Basic Medical Sciences, Soochow University, Suzhou, China.
Zheng LiDepartment of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, China.
Di ZouDepartment of Critical Care Medicine, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, China.
Leisi ZhangDepartment of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, China.
Yin LuDepartment of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, China.
Jun WangDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiaochen ChenDepartment of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, China.
Jianhong FuDepartment of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, Suzhou, China.ORCID https://orcid.org/0000-0002-9044-024X
Soochow University · CN

Funding

Gusu Health Talents Program GSWS2020006National Natural Science Foundation of China 81730003
6 · The paper itself

Abstract

objectivesThis study aimed to explore clinical indexes for management of severe/critically ill patients with COVID-19, influenza A H7N9, and H1N1 pneumonia by comparing hematological and radiological characteristics.

methodsSevere/critically ill patients with COVID-19, H7N9, and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics were compared.

resultsIn this study, 16 cases of COVID-19, 10 cases of H7N9, and 13 cases of H1N1 who met severe/critically ill criteria were included. Compared with COVID-19, H7N9 and H1N1 groups had more chronic diseases (80% and 92.3% vs. 25%, p < 0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs. 5.50 ± 2.58, p < 0.05), higher mortality rates (40% and 46.2% vs. 0%, p < 0.05), significant lymphocytopenia (0.59 ± 0.31 × 10

conclusionsThe NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID-19 and influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.

Indexed as

AgedAged, 80 and overBlood Cell CountChronic DiseaseCOVID-19Critical IllnessFemaleHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H7N9 SubtypeInfluenza, HumanMaleMiddle AgedPneumonia, ViralRetrospective StudiesSex FactorsCOVID-19H1N1hematologicalinflammationinfluenza A H7N9radiological

Identifiers

PMID34762754
PMCPMC8646601
OpenAlexW3117785122

What OpenQuestion holds

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LicenceCC BY-NC
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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.