Evidence map›Paper›PMID 33576536›Full record

Observational studyJournal of clinical laboratory analysis2021

Differential diagnosis of coronavirus disease 2019 pneumonia or influenza A pneumonia by clinical characteristics and laboratory findings.

Ding-Feng Lv, Qi-Ming Ying, Yi-Wen He, Jun Liang, Ji-Hong Zhang, Bei-Bei Lu, Guo-Qing Qian, Jin-Guo Chu, Xing-Bei Weng, Xue-Qin Chen and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Observational
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

11 authors at 3 institutions in 1 country.

Ding-Feng LvSchool of Medicine, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0002-2369-870X
Qi-Ming YingDepartment of Blood Transfusion, Ningbo First Hospital, Ningbo, China.
Yi-Wen HeDepartment of Blood Transfusion, Ningbo First Hospital, Ningbo, China.
Jun LiangDepartment of Blood Transfusion, Ningbo First Hospital, Ningbo, China.
Ji-Hong ZhangDepartment of Medical Statistics, Ningbo First Hospital, Ningbo, China.
Bei-Bei LuDepartment of Environment and Occupational Health, Ningbo Municipal Center for Disease Control and Prevention, Ningbo, China.
Guo-Qing QianDepartment of Infectious Disease, Ningbo First Hospital, Ningbo, China.
Jin-Guo ChuDepartment of General Practice, Ningbo First Hospital, Ningbo, China.
Xing-Bei WengDepartment of Blood Transfusion, Ningbo First Hospital, Ningbo, China.ORCID https://orcid.org/0000-0001-8893-1704
Xue-Qin ChenDepartment of Chinese Traditional Medicine, Ningbo First Hospital, Ningbo, China.
Qi-Tian MuLaboratory of Stem Cell Transplantation, Ningbo First Hospital, Ningbo, China.
Ningbo First Hospital · CNNingbo Center for Disease Control and Prevention · CNNingbo University · CN

Funding

Medical and Health Science and Technology Projects of Zhejiang Province 2019KY171Medical and Health Science and Technology Projects of Zhejiang Province 2020KY283Natural Science Foundation of Ningbo 2016A610170Natural Science Foundation of Ningbo 202103N4228
6 · The paper itself

Abstract

backgroundPneumonia caused by the 2019 novel Coronavirus (COVID-2019) shares overlapping signs and symptoms, laboratory findings, imaging features with influenza A pneumonia. We aimed to identify their clinical characteristics to help early diagnosis.

methodsWe retrospectively retrieved data for laboratory-confirmed patients admitted with COVID-19-induced or influenza A-induced pneumonia from electronic medical records in Ningbo First Hospital, China. We recorded patients' epidemiological and clinical features, as well as radiologic and laboratory findings.

resultsThe median age of influenza A cohort was higher and it exhibited higher temperature and higher proportion of pleural effusion. COVID-19 cohort exhibited higher proportions of fatigue, diarrhea and ground-glass opacity and higher levels of lymphocyte percentage, absolute lymphocyte count, red-cell count, hemoglobin and albumin and presented lower levels of monocytes, c-reactive protein, aspartate aminotransferase, alkaline phosphatase, serum creatinine. Multivariate logistic regression analyses showed that fatigue, ground-glass opacity, and higher level of albumin were independent risk factors for COVID-19 pneumonia, while older age, higher temperature, and higher level of monocyte count were independent risk factors for influenza A pneumonia.

conclusionsIn terms of COVID-19 pneumonia and influenza A pneumonia, fatigue, ground-glass opacity, and higher level of albumin tend to be helpful for diagnosis of COVID-19 pneumonia, while older age, higher temperature, and higher level of monocyte count tend to be helpful for the diagnosis of influenza A pneumonia.

Indexed as

Clinical Laboratory TechniquesCOVID-19Diagnosis, DifferentialFemaleHumansInfluenza A virusLogistic ModelsMaleMiddle AgedMultivariate AnalysisPneumoniaRisk FactorsSARS-CoV-2Tomography, X-Ray Computedclinical characteristicsCOVID-19differential diagnosisinfluenza Apneumonia

Identifiers

PMID33576536
PMCPMC7891506
OpenAlexW3127768386

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.