Evidence map›Paper›PMID 36639787›Full record

ArticleBMC pediatrics2023

Noninvasive carbon dioxide monitoring in pediatric patients undergoing laparoscopic surgery: transcutaneous vs. end-tidal techniques.

Weitao Wang, Zhifa Zhao, Xinjie Tian, Xinggang Ma, Liang Xu, Guanglin Shang

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Non-invasive PCOSleep & breathing = Schlaf & Atmung · 2025
    Article
  4. Article
  5. Observational
  6. Review
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

6 authors at 2 institutions in 1 country.

Weitao WangDepartment of Anesthesiology, Shenzhen Children's Hospital, China Medical University, Shenzhen, China.
Zhifa ZhaoDepartment of Anesthesiology, Shenzhen Children's Hospital, China Medical University, Shenzhen, China.
Xinjie TianDepartment of Stomatology, Shenzhen Children's Hospital, China Medical University, Shenzhen, China.
Xinggang MaDepartment of Anesthesiology, Shenzhen Children's Hospital, China Medical University, Shenzhen, China. maxinggangetyy@163.com.
Liang XuDepartment of Anesthesiology, Shenzhen Children's Hospital, Shenzhen, China.
Guanglin ShangDepartment of Anesthesiology, Shenzhen Children's Hospital, Shenzhen, China.
Shenzhen Children's Hospital · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe present study aimed to investigate the correlation between transcutaneous carbon dioxide partial pressure (PtcCO

methodsChildren aged 2-8 years with American Society of Anesthesiologists (ASA) class I or II who underwent laparoscopic surgery under general anesthesia were selected. After anesthesia induction and tracheal intubation, PtcCO

resultsA total of 32 patients were eventually enrolled in this study, resulting in 128 datasets. The linear regression equations were: PtcCO

conclusionIn pediatric laparoscopic surgery, a close correlation was established between PtcCO REGISTRATION NUMBER OF CHINESE CLINICAL TRIAL REGISTRY: ChiCTR2100043636.

Indexed as

LaparoscopyPneumoperitoneumBlood Gas Monitoring, TranscutaneousCarbon DioxideChildHumansMonitoring, PhysiologicCarbon DioxideEnd-tidal carbon dioxide partial pressureGeneral anesthesiaLaparoscopic surgeryPediatric patientsTranscutaneous carbon dioxide partial pressure

Identifiers

PMID36639787
PMCPMC9840246
OpenAlexW4315979052

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.