Evidence map›Paper›PMID 33511562›Full record

ArticleJournal of clinical monitoring and computing2022

Assessment of a new volumetric capnography-derived parameter to reflect compression quality and to predict return of spontaneous circulation during cardiopulmonary resuscitation in a porcine model.

Lili Zhang, Kui Jin, Feng Sun, Jun Xu, Xuezhong Yu, Huadong Zhu, Yangyang Fu, Danyu Liu, Shanshan Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of clinical monitoring and computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Lili ZhangEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Kui JinEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Feng SunEmergency Department, Jiangsu Province Hospital, Nanjing, Jiangsu, China.
Jun XuEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China. xujunfree@126.com.ORCID 0000-0002-3340-279X
Xuezhong YuEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China. yxzpumch@126.com.
Huadong ZhuEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Yangyang FuEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Danyu LiuEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Shanshan YuEmergency Department, Peking Union Medical College Hospital, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate a volumetric capnography (Vcap)-derived parameter, the volume of CO

Indexed as

Cardiopulmonary ResuscitationHeart ArrestAnimalsCapnographyCarbon DioxideCross-Over StudiesMaleReturn of Spontaneous CirculationSus scrofaSwineCarbon DioxideCardiac arrestCardiopulmonary resuscitationChest compressionPartial pressure of end-tidal CO2Volume of CO2 eliminated per minuteVolumetric capnography

Identifiers

PMID33511562
OpenAlexW3019084573

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.