Evidence map›Paper›PMID 33845783›Full record

Trial reportBMC anesthesiology2021

Preoperative X-ray C

Yang Zhou, Yongzheng Han, Zhengqian Li, Yuqing Zhao, Ning Yang, Taotao Liu, Min Li, Jun Wang, Xiangyang Guo, Mao Xu

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC anesthesiology, 2021. 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
2.0field-weighted citation impact, top 13% 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, 10 citations in OpenAlex.

  1. Article
  2. Trends in Preoperative Airway Assessment.Diagnostics (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Article
  5. Observational
  6. 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.

Yang Zhou *Department of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Yongzheng Han *Department of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Zhengqian Li *Department of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Yuqing ZhaoDepartment of Radiology, Peking University Third Hospital, Peking University Health Science Center, Beijing, China.
Ning YangDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Taotao LiuDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Min LiDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Jun WangDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China.
Xiangyang GuoDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China. puthmzk@hsc.pku.edu.cn.
Mao XuDepartment of Anesthesiology, Peking University Third Hospital, Peking University Health Science Center, 49 North Garden Road, Haidian District, Beijing, P.R. China. anae@163.com.
Peking University · CNPeking University Third Hospital · CN

Funding

Hospital Medical Research Foundation of Peking University Third Hospital No. Y86471-01the Capital Clinical Characteristic Applied Research Project of China No. Z181100001718109Young Scholar Research Grant of Chinese Anesthesiologist Association NO. 21900007
6 · The paper itself

Abstract

backgroundAirway management is one of the most important techniques in anesthesia practice and inappropriate airway management is related with airway injury, brain hypoxia, and even death. The patients with cervical spondylosis are often confronted with difficult laryngoscopy who are more prone to appear difficult airway, so it is important to figure out valuable predictors of difficult laryngoscopy in these patients.

methodsWe randomly enrolled 270 patients undergoing elective cervical spine surgery and analyzed the cervical mobility data in predicting difficult laryngoscopy. The preoperative X-ray radiological indicators were measured by an attending radiologist. Cormack-Lehane scales were assessed during intubation, and patients with a class III or IV view were assigned to the difficult laryngoscopy group.

resultsUnivariate analysis showed that the hyomental distance (HMD, the distance between the hyoid bone and the tip of the chin) and the hyomental distance ratio (HMDR, the ratio between HMD in the extension position and the one in the neutral position) might not be suitable indicators in patients with cervical spondylosis. Binary multivariate logistic regression (backward-Wald) analyses identified two independent correlative factors from the cervical mobility indicators that correlated best as a predictor of difficult laryngoscopy: modified Mallampati test (MMT) and C

conclusionsC

trial registrationThe study was registered at the Chinese Clinical Trial Registry ( http://www.chictr.org.cn ; identifier: ChiCTR-ROC-16,008,598) on June 6, 2016.

Indexed as

Airway ManagementLaryngoscopyCervical VertebraeFemaleHumansMaleMiddle AgedPreoperative CareSpondylosisX-RaysCervical mobilityCervical spondylosisDifficult laryngoscopyRadiologic indicatorsX-ray

Identifiers

PMID33845783
PMCPMC8040201
OpenAlexW3197285142

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.