Evidence map›Paper›PMID 36602650›Full record

ArticleInfectious diseases and therapy2023

The Association Between Alveolar-Arterial Oxygen Tension Difference and the Severity of COVID-19 in Patients.

Canbin Xie, Jiayi Deng, Fanglin Li, Chenfang Wu, Min Xu, Bo Yu, Guobao Wu, Yanjun Zhong, Da Tang, Jinxiu Li

Open access · goldAbstract read
PubMed Publisher
In one paragraph

Article in Infectious diseases and therapy, 2023. 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
0.6field-weighted citation impact, top 37% 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, 3 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 2 institutions in 1 country.

Canbin XieCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Jiayi DengCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Fanglin LiCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Chenfang WuCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Min XuCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Bo YuCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Guobao WuCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Yanjun ZhongCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.
Da TangCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China. darmuyu@qq.com.
Jinxiu LiCritical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China. jinxiuli2021@csu.edu.cn.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCoronavirus disease 2019 (COVID-19) emerged as a global pandemic and resulted in a significantly high death toll. Therefore, there is an urgent need to find a potential biomarker related to the disease severity that can facilitate early-stage intervention.

methodsIn the present study, we collected 242 laboratory-confirmed COVID-19-infected patients. The patients were grouped according to the alveolar to arterial oxygen tension difference (P

resultsAmong the 242 laboratory-confirmed COVID-19- infected patients, 155 (64.05%) had an abnormal P

conclusionAbnormal P

Indexed as

BiomarkerCOVID-19PA-aO2PrognosisSevere event

Identifiers

PMID36602650
OpenAlexW4313543999

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.